Data Engineer

The Data Engineer will play a pivotal role in the design, development, and maintenance of our organization's enterprise data platform, crucial for driving scalable operations, accurate reporting, and informed decision-making. As the technical lead on data integration across essential systems, you will establish robust pipelines, standardized data models, and quality assurance measures to ensure a single, reliable source of truth. As our organization expands, this position will be vital in modernizing the data landscape, minimizing manual reporting efforts, and facilitating self-service analytics with proper governance. Within the first year, you will establish foundational data pipelines, aid in platform modernization initiatives, and enhance access to consistent and reliable data across the organization. Key Duties and Responsibilities: Data Engineering & Architecture Design and maintain scalable data pipelines that integrate enterprise systems. Build and oversee centralized data warehouse structures. Develop ETL/ELT processes to automate data ingestion and transformation workflows. Create standardized, reusable data models that align with business definitions. Data Quality & Reliability Implement automated validation and monitoring processes to ensure data accuracy. Identify and resolve discrepancies across systems and reports. Establish data lineage while improving dataset performance and reliability. Analytics Enablement Collaborate with stakeholders to deliver optimized, certified datasets. Support self-service analytics while adhering to governance standards. Reduce dependency on manual reporting and ad hoc data requests. Platform Integration & Collaboration Assist in system integrations across operational and internally developed platforms. Provide insights into platform design and data structure standardization. Work closely with technical and business teams to align data solutions with organizational needs. Data Governance Support data governance standards, policies, and best practices. Contribute to data definitions, documentation, and cataloging initiatives. Promote consistent and accurate data usage throughout the organization.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Join our dynamic team as a Senior Data Engineer specializing in DBT, Snowflake, and SQL. In this role, you will be responsible for crafting and implementing robust data solutions within a transformative banking environment.Your expertise will enable the design of scalable platforms and tools that empower the organization to effectively manage, secure, and derive value from its data assets. You will collaborate closely with IT application teams and various stakeholders to convert business and technical strategies into effective data-driven solutions.As a key player in our data engineering team, you will also act as a technical expert, addressing challenges related to application design, performance, and data security. Your contributions will include research and development aligned with the latest trends in data engineering and banking.

Join 84.51° as a Senior Data Engineer!At 84.51°, we are at the forefront of retail data science, insights, and media. Our mission is to empower The Kroger Co., consumer packaged goods entities, agencies, publishers, and affiliates to offer personalized and enriching experiences for shoppers throughout their purchasing journey.Harnessing the power of sophisticated science, we leverage first-party retail data from over 62 million U.S. households, gathered through the Kroger Plus loyalty card program. This enables us to create a more customer-centric experience via 84.51° Insights, 84.51° Loyalty Marketing, and our retail media advertising solution, Kroger Precision Marketing.To foster collaboration and team synergy, we maintain a 5-day in-office work schedule.We invite you to be a part of our innovative team at 84.51°!

84.51° Overview:84.51° is at the forefront of retail data science, insights, and media, empowering The Kroger Co. and its partners to deliver personalized and impactful shopping experiences. By leveraging first-party retail data from over 62 million U.S. households, we drive a customer-centric journey through innovative solutions like 84.51° Insights, 84.51° Loyalty Marketing, and our retail media platform, Kroger Precision Marketing.At 84.51°, we believe in fostering collaboration and teamwork through a 5-day in-office work schedule.Join our mission at 84.51°!__________________________________________________________Lead Data Engineer (P1952)Cincinnati, OH or Chicago, ILAs a leading data science company and a proud subsidiary of The Kroger Company, we manage a vast data ecosystem, comprising 10 petabytes of data and generating over 35 terabytes of new data weekly from our 62 million household dataset. As a Lead Data Engineer, you will play a pivotal role in developing applications that transform our data into actionable insights, enhancing the customer experience at Kroger. We adopt Agile methodologies and Big Room Planning to ensure alignment among cross-functional teams—Product, Architecture, Data Science, and Engineering—focused on creating scalable enterprise applications.SUMMARY:In your role as Lead Data Engineer, you will be responsible for designing and implementing solutions that enable the ingestion, storage, transformation, and distribution of big data on Azure Cloud. Our technology stack includes Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL, allowing you to build products and features that facilitate customer personalization on a large scale. Strong communication and collaboration skills with Product and Data Science teams are essential for success in this position.RESPONSIBILITIES: Take ownership of features and drive them to completion through all phases of the 84.51° Software Development Life Cycle (SDLC). This encompasses both external-facing and internal applications, as well as process improvement initiatives, such as:Developing understanding of business domains and bridging this knowledge to technical stakeholders.Establishing technical strategies in partnership with Data Science, Product, Architecture, and Kroger partners.

Join our dynamic team as a Senior Data Engineer at Hudson Manpower, located onsite in Cincinnati, Ohio. This role is designed for experienced professionals who are passionate about harnessing data to drive business decisions.Key Skills Required:Power BI: Expertise in data modeling, DAX, Power Query, and the design of interactive reports and dashboards.SQL: Proficient in querying and manipulating data.Tableau: Familiarity with data visualization and reporting tools.Role Overview:As a Senior Data Engineer, you will be responsible for developing and maintaining Business Intelligence (BI) solutions. This involves building robust data models, creating insightful reports and dashboards, and ensuring the reliability and accuracy of data. You will work closely with stakeholders to translate business requirements into actionable technical specifications.Essential Responsibilities:Data Modeling: Design and implement efficient data models within Power BI to support business analytics.Report & Dashboard Development: Craft engaging reports and dashboards using Power BI Desktop and the Power BI service.Data Integration: Connect and integrate data from various sources, including databases, cloud services, and flat files.Data Analysis & Visualization: Analyze data to uncover trends and insights, visualizing findings through compelling graphics.Performance Optimization: Optimize BI solutions for speed and efficiency.Collaboration: Partner with business users and IT teams to gather requirements and deploy solutions.Data Governance: Maintain data accuracy and compliance with regulatory standards.DAX Calculations: Utilize DAX for advanced data analysis.SQL Querying: Employ SQL to retrieve and manipulate data effectively.Technical Documentation: Develop technical documentation for BI solutions, ensuring clarity in data models and reporting designs.Troubleshooting & Support: Provide ongoing support and resolve technical challenges.Continuous Learning: Stay updated on new features and best practices in Power BI.

84.51° Overview:At 84.51°, we are at the forefront of retail data science, insights, and media. We collaborate with The Kroger Co., consumer packaged goods organizations, agencies, publishers, and affiliates to deliver personalized and valuable shopping experiences throughout the purchasing journey.Leveraging advanced science, we utilize first-party retail data from over 62 million U.S. households through the Kroger Plus loyalty card program to enhance customer-centric journeys with 84.51° Insights, 84.51° Loyalty Marketing, and our retail media advertising solution, Kroger Precision Marketing.We embrace a 5-day in-office work schedule to foster collaboration, alignment, and team connectivity.Join us in making a difference at 84.51°!__________________________________________________________Senior ML Data Engineer, Relevancy Sciences – Personalization & Loyalty Strategy (P508)The Relevancy Sciences Team is dedicated to crafting relevant and personalized customer experiences for Kroger's E-commerce platform, recognized as one of the top 10 e-commerce companies in the U.S. We generate trillions of recommendations daily and deliver them to millions of Kroger customers. Our team manages an extensive portfolio of machine learning solutions for search and product recommendations. We are on the lookout for a skilled and experienced Senior ML Data Engineer to join our data science team, specializing in developing search and recommender systems.Role OverviewIn this role, you will design, build, and maintain the crucial data infrastructure that powers our machine learning models, encompassing everything from feature engineering to training data generation. You will act as a liaison between ML requirements and production data systems, overseeing feature stores, training/evaluation pipelines, and ML-specific data operations. Your efforts will empower data scientists to iterate swiftly while ensuring production-grade reliability and scalability.What You'll DoFeature Store Operations & Governance (40%)Manage the lifecycle of feature requests from intake to deployment, promoting reusability and maintaining a searchable feature catalog.Design and develop scalable feature pipelines that compute features from various sources (BigQuery, Azure Data Lake) and integrate them into the Feature Store infrastructure (Vertex AI Feature Store + BigQuery).Create streaming feature engineering pipelines utilizing Apache Beam/Dataflow for real-time feature computation and low-latency model serving.

Job Title: Data Engineer IVLocation: Cincinnati, OH - On-sitePay Rate: $70/hr on W2.Only U.S. Citizens and Green Card Holders are eligible to apply.Key Skills Required:Must-Have:Proficiency in PythonStrong SQL skillsNice to Have:AWS SageMaker experienceFamiliarity with DBTExperience with SnowflakeRole Overview:Join our dynamic Machine Learning Data Enablement Squad within the Data Insights Tribe at Fifth Third Bank. We are on the lookout for a Data Engineer who is eager to contribute to the development of high-quality, scalable data pipelines that drive machine learning models across the enterprise, utilizing AWS SageMaker.This role requires you to be on-site at least four days a week (Monday to Thursday).As a key member of our team, you will collaborate closely with data scientists and ML engineers to provide curated, production-ready datasets. You will play a significant role in shaping the data infrastructure that supports machine learning workflows across the bank. Ideal candidates will have a foundational background in machine learning-related projects, a collaborative spirit, and a keen interest in modern data tools.Hands-on experience with Snowflake, DBT, or cloud-based data platforms is highly advantageous. While familiarity with ML tools such as SageMaker and Databricks is beneficial, we are committed to helping you learn and grow in these areas.This position offers high visibility and an opportunity to make a meaningful impact as you help define how data will empower machine learning at scale.What We Offer:Competitive base salaryMedical, dental, and vision insuranceOptional life and disability insurance401(k) plan with company match and potential profit sharingGenerous paid vacation and bench timeTraining allowances availableOpportunity to earn referral bonuses!

Join 8451 as a Director of Data Science, where you will lead innovative data-driven strategies to enhance our business intelligence and analytics capabilities. You will be responsible for overseeing the development and implementation of advanced data models and algorithms, driving actionable insights that inform critical business decisions.

Join our innovative team at dev2 as a Senior Snowflake Administrator/Engineer. In this role, you will play a pivotal role in managing and optimizing our Snowflake data warehouse environment. You will work collaboratively with cross-functional teams to enhance data management practices and ensure data integrity and availability.We are looking for a passionate individual who thrives in a fast-paced environment, embraces challenges, and possesses strong problem-solving skills. Your expertise will help us leverage Snowflake's capabilities to drive our data initiatives forward.

We are seeking a dynamic and experienced Senior Director of Merchant Data Roadmap at Worldpay. In this pivotal role, you will lead the strategic direction and execution of our merchant data initiatives, ensuring we harness the power of data to drive business insights and enhance customer experiences. You will collaborate closely with cross-functional teams, leverage data analytics, and implement innovative solutions that align with our organizational goals.

About the Role Jobs for Humanity is hiring a Data Analyst in Cincinnati. This entry-level position focuses on interpreting complex datasets and turning them into clear, actionable insights. The work supports our mission and helps guide decisions across the organization. What You Will Do Analyze data sets to uncover trends and patterns Translate findings into reports and recommendations Work with multiple departments to support data-driven decisions Collaboration This role partners closely with teams throughout Jobs for Humanity to improve how we use data in our daily work.

Role Overview 8451 is hiring a Senior Data Scientist in Cincinnati, OH or Chicago, IL. This role focuses on using data analysis and machine learning to support business decisions. The Senior Data Scientist works closely with teams across the company to build predictive models and improve business strategies. What You Will Do Analyze complex datasets to uncover trends and insights Develop and refine predictive models to support key business goals Collaborate with colleagues from different departments to solve problems and share findings Help optimize company performance through data-driven recommendations Locations Cincinnati, OH Chicago, IL

84.51° applies advanced data science to retail, supporting The Kroger Co. and partners with insights, loyalty marketing, and retail media products. The company draws on first-party data from over 62 million U.S. households through the Kroger Plus program, aiming to create more personalized shopper experiences. This position requires working in the office five days a week to foster collaboration and team connection. Role overview The Lead Data Scientist, Relevancy Sciences, joins a team focused on building and refining the science behind search and recommendation systems for Kroger’s e-commerce platforms. The team’s work shapes digital experiences for millions of customers, aiming for relevant, personalized, and scalable interactions across Kroger’s digital channels. What you will do Technical leadership and influence: Lead projects in search and recommendation systems, shaping scientific strategy to improve content discovery, relevance, personalization, and decision support. Identify impactful opportunities, clarify technical trade-offs, and guide the team toward practical, scalable solutions. Rapidly prototype and validate new ideas to demonstrate measurable value. Develop innovative search and recommender systems: Design and implement machine learning solutions for the grocery retail sector. Drive systems that enhance product discovery and personalization throughout the customer journey. Provide leadership in next-generation personalization, including Generative AI and agent-based approaches. Location This position is based in Cincinnati, OH or Chicago, IL.

Join Worldpay as a Senior Director of Data Architecture, where you will spearhead innovative data solutions that drive business intelligence and enhance our technology infrastructure. In this pivotal role, you will lead a team of data professionals, collaborating with cross-functional departments to align data architecture with business objectives. Your expertise will shape our data strategies, ensuring data integrity, scalability, and security.

The Role: As a key member of our team, the Data and Integration Developer will report directly to the Senior Architect. You will be pivotal in ensuring the stability, scalability, and reliability of our enterprise integration landscape, specifically focusing on B2B and EDI transactions that are crucial to our revenue generation, supply chain operations, and financial processing. At Kao Corporation, we provide exceptional benefits from your very first day, including comprehensive healthcare coverage, a 401(k) plan with company matching, and a generous total of 36 days off (inclusive of vacation, holidays, and sick leave). Our salary range for this position is competitive, between $95,000 and $110,000, and we support a hybrid work schedule. Key Responsibilities: Architect and develop scalable integration solutions for B2B/EDI transactions (such as X12 850, 810, and 856 and EDIFACT) and partner onboarding. This includes managing the entire software development lifecycle (SDLC) from analysis to deployment and ongoing support, alongside project management tasks like scope and schedule oversight. Create and uphold application and data integration platform workflows utilizing Informatica Integration Cloud Solutions (IICS) and Informatica Intelligent Data Management Cloud (IDMC). The initial focus will be on B2B/EDI workflows, expanding into Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Cloud Data Integration and Replication (CDIR). Ensure data quality, transformation, and mapping efforts across various systems. Engage with various business units (supply chain, sales, finance) and collaborate with internal and external teams to grasp data requirements and convert them into technical solutions, employing tools such as Jira, Confluence, and Zephyr. Oversee and troubleshoot integration jobs and data flows to maintain optimal reliability and performance, while documenting integration processes, data flows, and technical specifications. Contribute to architectural discussions and facilitate the advancement of our integration and data platforms.

Join Worldpay as a Senior Director of Merchant Data Operations, where you will lead the strategic direction and execution of data operations that empower merchants to thrive in a dynamic marketplace. In this pivotal role, you will oversee the integration and management of merchant data, ensuring its accuracy and accessibility to drive business insights and enhance customer experience.

84.51° Overview:At 84.51°, we are pioneers in retail data science, insights, and media, dedicated to transforming the shopping experience. We partner with The Kroger Co., consumer packaged goods firms, agencies, publishers, and affiliates to craft personalized and meaningful shopping journeys.Leveraging advanced analytics, we harness first-party retail data from over 62 million U.S. households via the Kroger Plus loyalty program to enhance customer experiences through our offerings, including 84.51° Insights, Loyalty Marketing, and Kroger Precision Marketing.We embrace a 5-day in-office work schedule to foster collaboration and team synergy.Join us at 84.51°!__________________________________________________________Senior Data Scientist Consultant, SPI – Agent Platform TeamSummaryThe Agent Platform Team, part of AI Enablement at 84.51°, oversees the essential platforms driving data science and AI initiatives across the organization. This position is within the SPI (Science Platform Innovation) squad and focuses on the Databricks environment and its advancing AI/ML functionalities.You will act as a liaison between the engineers developing our Databricks platform and the data scientists utilizing it daily. Your role is not to build models for end clients but to ensure the platform functions optimally—facilitating the smooth implementation of new features, documenting processes, and relaying user feedback to the platform team to guide future enhancements.Gain in-depth knowledge of Databricks’ infrastructure and its AI-powered features, including Genie Code, Genie Spaces, Agent Bricks, MLflow, and more, along with the Unity Catalog governance framework. You will assess new Databricks capabilities and relevant third-party integrations from an end-user perspective, document your insights, and assist the team in determining which features to adopt and how to implement them efficiently.This small, collaborative squad thrives on teamwork, with everyone contributing across various tasks. Flexibility and adaptability are key, as priorities may shift in alignment with the evolving Databricks roadmap. Success in this role hinges on your ability to navigate ambiguity, exercise sound judgment in prioritizing tasks, and influence outcomes without direct authority.

The Role: As a pivotal member of the Partner Services team, the Senior Data Operations Manager will report directly to the Associate Director. This strategic leadership position involves the oversight of system operations, ensuring data integrity, and driving process excellence throughout the sales and marketing domains. You will lead a dedicated team that guarantees optimal system functionality while establishing and upholding comprehensive data governance standards, enabling both local and regional stakeholders to make data-driven decisions. Entrusted as the organization's chief steward of data integrity, you will define, implement, and monitor rigorous standards across all interconnected systems, ensuring compliance with business expectations through meticulous attention to detail and adherence to established governance frameworks. You will enhance organizational effectiveness by identifying and measuring key performance indicators that align with business objectives, while continually evaluating and optimizing workflows to boost operational efficiency. At Kao, we provide exceptional benefits that begin on your first day of employment, including healthcare, a 401(k) with company match, a generous leave policy totaling 36 days off (vacation, holidays, and sick leave), and a competitive salary range of $110,000 - $130,000. Additionally, we offer a hybrid work schedule.

About 84.51°:At 84.51°, we are pioneers in retail data science, insights, and media solutions. Our mission is to empower The Kroger Co., alongside consumer packaged goods companies, agencies, and publishers, to enhance shopper experiences throughout their purchasing journey.Leveraging advanced scientific methodologies, we utilize first-party retail data from over 62 million U.S. households, obtained through the Kroger Plus loyalty card program. This enables us to facilitate a more customer-focused experience via our suite of offerings, including 84.51° Insights, 84.51° Loyalty Marketing, and Kroger Precision Marketing.We embrace a collaborative work environment with a 5-day in-office schedule to foster teamwork and alignment.Join us at 84.51°!__________________________________________________________Position: Senior Data Scientist (P3358)OverviewWe are on the lookout for a Senior Data Scientist to become a vital member of our Proprietary Models team. This role involves the development, evaluation, and democratization of our foundational models portfolio, which includes embeddings, pre-trained LLMs, and fine-tuned language models. You will be responsible for building and optimizing embedding pipelines, establishing rigorous evaluation frameworks, transitioning models from experimentation to production, and assisting business stakeholders in their integration processes. The ideal candidate will possess a robust technical background in machine learning and AI, exceptional problem-solving skills, a dedication to engineering excellence, and a fervor for empowering others to effectively harness AI.Key ResponsibilitiesYour contributions will span various domains, including engineering data pipelines, testing innovative AI methodologies, and guiding business stakeholders. You will need to adapt across these skill areas as projects evolve, collaborating with your team to achieve success.Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.Conduct thorough model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards before deployment.Design and implement proof of concepts to demonstrate feasibility for specific business challenges.Establish and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.Collaborate with Machine Learning Engineers, Researchers, and Engineers to develop, fine-tune, and deploy foundational models.