Freelance Data Science Engineer (Python & SQL) – Remote Opportunity

Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States

Please submit your CV in English and indicate your English proficiency level. Toloka AI, working with Mindrift, offers project-based freelance roles for professionals who want to help test, evaluate, and improve artificial intelligence systems for leading technology companies. These are contract assignments, not permanent positions. Role overview The Freelance Data Science Engineer (Python & SQL) works remotely from Virginia, United States, and takes on a variety of AI-related projects. Assignments change from project to project, but the core work centers on designing and validating computational data science challenges that reflect real-world analytical problems across industries like telecommunications, finance, government, e-commerce, and healthcare. Develop data science problems that require Python programming, using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are complex enough to need significant computation and cannot be solved manually in a short time. Create scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and business insight generation. Design deterministic problems with reproducible results, using fixed random seeds if randomness is necessary. Base assignments on real business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end tasks that cover the data science workflow: data ingestion, cleaning, exploration, modeling, validation, and deployment considerations. Integrate big data scenarios that require scalable computation strategies. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, including realistic business contexts and verified solutions. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications that highlight practical problem-solving skills. Advanced Python programming for data science, especially with Pandas, Numpy, Scipy, and Scikit-learn. Strong background in statistical analysis and machine learning, including algorithms and real-world applications. Proficiency in SQL and database operations for data analysis. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Familiarity with tools such as TensorFlow, PyTorch, and LangChain. Excellent written English skills at C1 level or higher. How to join Apply Pass qualifications Join a project Complete tasks Receive compensation

Toloka AI offers project-based freelance roles for experienced Data Science Engineers. This position supports leading technology companies by designing and validating data science challenges that reflect real-world analytics scenarios. The engagement is freelance, not permanent employment. Role overview Freelance Data Science Engineers at Toloka AI create computational challenges for industries such as telecom, finance, government, e-commerce, and healthcare. Projects require designing problems that use Python and SQL, focusing on tasks that cannot be solved manually. Each challenge covers the full data science workflow, from data ingestion and cleaning to modeling and deployment considerations. Engineers use libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Problems must be deterministic, reproducible, and based on realistic business scenarios like customer analytics, risk assessment, fraud detection, forecasting, and operational efficiency. Documentation of each challenge includes business context and a verified solution. Big data processing and scalable computational approaches are often required. Requirements At least 5 years of hands-on data science experience with measurable business outcomes Portfolio of completed projects or publications showing real-world problem-solving Advanced Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels Strong background in statistical analysis and machine learning algorithms Proficiency in SQL and database operations for data analysis Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain Excellent written English skills at C1 level or higher How to apply Submit your CV in English and specify your English proficiency level Complete the qualification process Join a project after qualification Carry out assigned tasks Receive payment upon completion of work Location: Remote , Wisconsin, United States

We invite you to submit your resume in English, specifying your level of English proficiency.At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Data Science AI Trainer, you will play a pivotal role in advancing GenAI models to tackle specialized questions and enhance complex reasoning skills. You will have the chance to collaborate on various unique projects.Your responsibilities may include:Crafting original computational data science challenges that replicate real-world analytical processes across sectors such as telecom, finance, government, e-commerce, and healthcare.Designing problems that require Python programming solutions (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensuring that the challenges are computationally demanding and cannot be solved manually within feasible timeframes (days/weeks).Creating scenarios necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements or employing fixed random seeds for exact results.Grounding challenges in actual business scenarios focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Integrating big data processing requirements that call for scalable computational strategies.Validating solutions through Python using standard data science libraries and statistical techniques.Clearly documenting problem statements within realistic business contexts and providing verified correct answers.Getting StartedTo join us, simply apply to this posting, meet the qualifications, and you can contribute to exciting projects that align with your skills, all while working on your own schedule. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

Please submit your CV in English and mention your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for technology companies. The platform focuses on testing, evaluating, and improving AI systems. This is a project-based, non-permanent position. Role overview The Freelance Data Scientist (Python & SQL) - AI Trainer designs and validates data science challenges that mirror real-world analytics problems from fields like telecom, finance, government, e-commerce, and healthcare. Projects are remote and based in Iowa, United States. What you will do Create computational data science challenges based on genuine business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop problems that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive and cannot be solved by hand. Design tasks involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Produce deterministic problems with reproducible solutions, using fixed seeds or avoiding randomness. Build comprehensive challenges that cover the entire data science workflow, from data ingestion to deployment considerations. Include big data scenarios that require scalable solutions. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications showing real-world problem-solving abilities. Advanced Python skills for data science (including Pandas, Numpy, Scipy, Sklearn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithm applications. Proficiency in SQL and database operations for data analysis and manipulation. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps practices and deploying machine learning models. Understanding of frameworks such as TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects experienced data scientists with AI training assignments for major technology clients. Projects focus on testing, evaluating, and improving AI systems. This is not a permanent employment position. Role overview The AI Training Specialist will design advanced computational data science challenges that mirror real-world analytical workflows. Scenarios span industries such as telecom, finance, government, e-commerce, and healthcare. Each challenge should require deep analytical thinking and practical coding skills. What you will do Create data science problems that require Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Develop computationally intensive tasks that cannot be solved manually in a few days or weeks. Formulate challenges involving complex data processing, statistical analysis, feature engineering, predictive modeling, and generating insights. Ensure all problems are deterministic, with replicable solutions and fixed random seeds. Base scenarios on business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science pipeline, from data ingestion to deployment considerations. Include tasks that require scalable computational approaches and big data processing. Validate solutions using standard Python data science libraries and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of projects or publications demonstrating real-world problem-solving. Advanced Python skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, including practical applications and algorithms. Expertise in SQL and database management for data manipulation and analysis. Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English at C1 level or above. Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment This contract is remote and open to candidates based in Wisconsin, United States.

Please submit your CV in English and indicate your English proficiency level. Toloka AI, in partnership with Mindrift, offers project-based opportunities for experienced data science professionals. Assignments support technology companies by testing, evaluating, and refining AI systems. All work is temporary and structured around individual projects, not ongoing employment. Role overview This freelance position centers on creating and validating computational challenges that mirror real-world data science workflows. Projects span sectors including telecommunications, finance, government, e-commerce, and healthcare. Each challenge is designed to require advanced analytical thinking and practical coding skills. What you will do Develop original data science problems that simulate business scenarios such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design tasks that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive and may take significant time to solve. Cover the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing elements that require scalable solutions. Write deterministic, reproducible problems by avoiding randomness or using fixed seeds. Validate solutions in Python and document both the problem statements and correct answers clearly in a business context. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world solutions. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong foundation in statistical analysis and machine learning methods. Proficiency in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI tools and concepts, such as large language models, retrieval-augmented generation, prompt engineering, and vector databases. Understanding of MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to apply Submit your application. Complete the required qualifications. Join a project. Finish assigned tasks. Receive payment. Location: Remote , Virginia, United States Note: All roles are temporary and project-based.

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based role, not permanent employment. Role Overview The Material Science Specialist with Python will contribute to a variety of projects. Tasks may include: Designing material engineering challenges that reflect real engineering workflows Developing problems that require Python programming to solve engineering calculations and simulations Ensuring tasks are computationally intensive, involving numerical methods or iterative solutions Creating challenges focused on system design, optimization, and analysis Basing problems on real-world research or practical engineering scenarios Validating solutions using Python and well-established engineering libraries Documenting problem statements clearly and providing accurate, verified solutions Who Should Apply This freelance role suits material science professionals and engineers with Python skills who are interested in part-time, project-based work. Preferred qualifications include: Degree in Material Science or a closely related field Proficiency in Python for numerical validation (experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant libraries is welcome) At least 2 years of relevant experience in applied, research, or teaching roles Strong grasp of practical engineering constraints and approximations Excellent written English skills (C1 level or higher) How Projects Work Submit your application Complete qualification steps Join a project Complete assigned tasks Receive payment Time Commitment Active project phases typically require 10–20 hours per week. Actual workload may vary with project needs. Compensation Earn up to $76 per hour, depending on contribution level and project pace. Compensation varies by project scope, complexity, and expertise required. Different projects may offer different pay rates based on their specific requirements.

Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation and opportunity converge. We harness the power of collective intelligence to ethically shape the future of artificial intelligence.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading technology innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewGenerative AI models are evolving rapidly, and one of our key objectives is to enhance their ability to tackle specialized queries and develop advanced reasoning skills. As a Machine Learning Engineer on our platform, you will have the unique opportunity to collaborate on such innovative projects.While each project is distinct, typical responsibilities may include:Designing original computational STEM problems that replicate authentic scientific workflows.Developing problems that necessitate Python programming for resolution.Creating problems that are computationally intensive, unsolvable manually within practical timeframes (days/weeks).Formulating problems that require complex reasoning and creative problem-solving techniques.Validating solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Clearly documenting problem statements and providing verified correct answers.Getting StartedTo apply, simply respond to this post, qualify, and seize the opportunity to engage in projects that align with your skills, on your own timetable. By creating training prompts and refining model responses, you will contribute to shaping the future of AI, ensuring that technology serves everyone.

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.

Join Nagarro as a Staff Engineer specializing in Data Science, where you will have the opportunity to work on cutting-edge projects in a fully remote environment. As a key member of our engineering team, you'll leverage your expertise to build innovative data-driven solutions that empower our clients and enhance their business strategies.

About RevenueBase:At RevenueBase, we are dedicated to building robust data infrastructure that enhances the trustworthiness of AI agents, minimizing errors.We offer freshly updated and verified B2B data crucial for the effective operation of autonomous AI agents and go-to-market workflows.Our company has experienced tremendous growth, tripling in size while achieving 100% gross dollar retention and maintaining a positive cash flow.Our data powers AI solutions for major players like Clay, Zoominfo, and Dun & Bradstreet, as well as the next generation of AI-driven GTM tools.Why This Position is Critical:As our data platform rapidly scales, we are seeking a skilled engineer to take charge of data pipelines from start to finish, ensuring high data quality and robust reliability during our growth phase.This role is essential for enhancing our data infrastructure, speeding up delivery through automation, and guaranteeing that our B2B clients receive reliable and timely data.You will work on data systems that directly support our customers' workflows, where the dependability of pipelines and data quality are crucial for client retention.Your Responsibilities:Develop and maintain production-ready data pipelines utilizing DBT, Snowflake, and contemporary orchestration tools.Take ownership of data engineering features from implementation to optimization and deployment.Troubleshoot and enhance existing pipelines by identifying bottlenecks and improving performance.Lead automation projects across the data stack to speed up delivery and minimize manual tasks.Provide secondary support for B2B clients by investigating data discrepancies and clarifying edge cases, ensuring data reliability.Design and implement new data import pipelines as we broaden our data source coverage.Enhance data quality by implementing validation, monitoring, and testing processes to ensure accurate data delivery.Participate in code reviews, architectural discussions, and contribute to data engineering best practices.Your Profile:You have over 3 years of professional experience in data engineering.You possess strong skills in SQL, data modeling, Python, and ETL/ELT principles.

We are seeking a top-tier Data Engineer to join our team at wizdaa. If you are a developer who excels in:Leading your team with technical expertiseResolving complex challenges that others find difficultDelivering intricate features at an accelerated paceCreating exceptionally clean and maintainable codeEnhancing our codebase with pride and diligenceYour skills and experience will help us drive efficiency and innovation in data processing.Key Responsibilities:Develop, enhance, and scale data pipelines and infrastructure utilizing Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake.Design, implement, and monitor data ingestion and transformation workflows, ensuring optimal performance and reliability.Work collaboratively with platform and AI/ML teams to automate data workflows and develop a comprehensive feature store.Integrate health metrics into engineering dashboards for enhanced visibility and operational insight.Model data and execute scalable transformations in Snowflake and PostgreSQL.Create reusable frameworks and connectors to streamline internal data processes.

Join VIA Science as a Senior Data EngineerAt VIA Science, we are on a mission to create cleaner, safer, and more equitable communities. By breaking down digital barriers, we provide the most secure and straightforward data and identity protection solutions.As a trusted partner of the U.S. Department of Defense and Fortune 100 companies worldwide, we tackle the toughest challenges in data and identity protection using our innovative Web3, quantum-resistant, passwordless technologies, protected by 19 patents.In your role as a Senior Data Engineer, you will be instrumental in shaping the future of our solutions, empowering our clients to leverage AI for data-driven decision-making.Collaborate with a dynamic team of data experts, developers, DevOps, and Client Delivery professionals who are at the forefront of AI innovation. This role is ideal for individuals driven by the challenge of enhancing data accessibility, ensuring high standards of data quality and availability, and improving overall performance.

Join Our Team as a Data Engineer Co-opAt Megazone Cloud, we are seeking a passionate and innovative Data Engineer Co-op who thrives on building solutions and tackling real-world customer challenges. If you have a curious mind and a proactive attitude, we want to hear from you!This is your chance to dive into the world of data engineering, transitioning from academic theories to hands-on professional experience. We embrace a versatile skill set, ideal for those ready to engage in a dynamic environment and learn a modern tech stack through practical involvement.Your RoleHands-On Contribution: Become an integral member of our technical team, actively participating in the development and maintenance of our data pipelines that drive business and client solutions.Mentorship Opportunities: Work alongside experienced engineers under a mentorship model that aims to enhance your technical skills.Development Tasks: Write, refine, and optimize Python and SQL code for process automation and data workflow management.Project Engagement: Attend team meetings and contribute fresh insights during technical discussions and design sessions.Tooling Exposure: Gain practical experience with technologies such as AWS, Databricks, and Snowflake.Collaborative Work: Collaborate with data science and infrastructure teams to understand how high-growth startups scale their operations.Your Profile (Requirements)Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or a related technical discipline.Timeline: Anticipated graduation date of December 2026 or later.Core Skills: Experience with Python and SQL through academic projects or coursework.Foundational Knowledge: Strong understanding of data structures, algorithms, and database concepts.Mindset: A proactive builder mentality with a strong desire for technical growth.Communication Skills: Ability to articulate technical concepts clearly and collaborate effectively within a team setting.Eligibility: Must be authorized to work in the United States.

Join our innovative team at Turquoise Health as a Senior Data Science Engineer, where you will play a pivotal role in transforming healthcare data into actionable insights. We are looking for a talented individual who possesses a strong analytical mindset and a passion for solving complex problems. In this fully remote position, you will collaborate with cross-functional teams to develop machine learning models and data-driven solutions that enhance patient care and streamline health services.

About UsAt Prominence Advisors, we are a leading healthcare technology strategy and implementation firm dedicated to empowering the nation’s foremost healthcare providers to leverage their data effectively. Founded by experienced Epic managers, we possess a profound understanding of the healthcare technology landscape. Our expertise spans IT staffing, advisory services, and cutting-edge analytics solutions, all aimed at constructing robust data ecosystems that enhance clinical workflows, streamline operational processes, and accelerate research initiatives. Whether we are facilitating a technology implementation, establishing governance frameworks, or pioneering advanced analytics, our mission is to help clients navigate the vast array of data at their disposal, resulting in high-quality care delivered at reduced costs.Our company culture is consistently recognized as one of the best places to work, providing our consultants with a nurturing environment conducive to innovation and professional growth within the healthcare IT sector. For further details, please visit our careers page.Your RoleAs a Data Engineer, you will play a pivotal role in guiding our clients through intricate data challenges. Your responsibilities will include designing, building, and maintaining data pipelines and workflows that empower clients to utilize their data effectively. You will transform raw data sources into clean, reliable, and scalable data streams, creating order from chaos.We seek team members who are humble, intelligent, and driven to ensure our clients' success. This role requires a commitment to delivering exceptional results while also mentoring others to develop the skills necessary to enhance and expand upon the deliverables of our projects.If you resonate with this description and meet the qualifications listed below, we encourage you to apply. Additionally, if you know someone who would be an excellent fit, please refer them to us.

We are on the lookout for an exceptional Data Engineer, a technical leader who thrives on challenges and excels in coding. If you are the person who:Acts as the definitive technical authority within your teamSolves complex technical problems with easeDelivers intricate features at a remarkable speedWrites code that exemplifies best practices and clarityIs dedicated to enhancing the overall quality of the codebaseThen we want to hear from you!We are not looking for just anyone; we want developers who are confident in their skills and have proven their excellence.What you will be responsible for:Designing, optimizing, and expanding data pipelines and infrastructure leveraging Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake.Creating, operationalizing, and monitoring data ingestion and transformation workflows including DAGs, alerting mechanisms, retries, SLAs, lineage, and cost management.Partnering with platform and AI/ML teams to streamline ingestion, validation, and real-time compute workflows; contributing towards the development of a feature store.Incorporating pipeline health metrics into engineering dashboards to ensure complete visibility and observability.Modeling data and executing efficient, scalable transformations within Snowflake and PostgreSQL.Establishing reusable frameworks and connectors to standardize internal data publishing and consumption.

Captivation Software works with clients facing demanding timelines, delivering customized solutions that support significant national objectives. The team values new ideas and aims for results that make a real impact. Role overview The Data Scientist II will be part of the Model Management group based in Annapolis Junction, MD. This mid-level role centers on developing and maintaining data models that support essential projects. The position involves close collaboration with others to ensure models are effective and meet project needs. Key technologies Python R TensorFlow SQL Tableau Location Annapolis Junction, MD

Join Nagarro as an Associate Engineer specializing in Data Science! In this role, you will be part of a dynamic team focused on leveraging data to drive insights and innovation. As a key player, you will work on exciting projects that enhance our data capabilities and contribute to the overall success of our engineering department.