Data Engineer II

Stage is looking for an Infrastructure Data Engineer to join the team in Boston, MA. This position centers on building and maintaining the systems that move and organize data, making analytics and business intelligence possible across the company. Role overview The Infrastructure Data Engineer will design, implement, and support scalable data infrastructure. The work ensures that business needs are met as the company grows, and that analytics teams have reliable data to inform decisions. What you will do Design and implement data infrastructure to meet evolving business requirements Build and maintain data pipelines used for analytics and reporting Support business intelligence by ensuring data systems are reliable and accessible Requirements Stage is seeking candidates who have a strong interest in data engineering and are motivated to make a real impact on team and company goals.

Role overview Stage seeks a Governance Data Engineer based in Boston, MA. The position centers on upholding the integrity and security of company data systems. Close collaboration with teams across the organization is a key part of the role, especially when developing and implementing data governance frameworks. What you will do Work with cross-functional teams to establish and maintain data governance processes Design frameworks that reinforce data integrity and safeguard sensitive information Support company efforts to comply with relevant industry standards and regulations

Stage is hiring a Reinsurance Data Engineer based in Boston, MA. This role centers on using data to strengthen reinsurance operations. The position involves working with others to address complex problems and help drive decisions with data. Key responsibilities Build and maintain data solutions that support reinsurance workflows Work with colleagues from different departments to solve technical issues Help transform raw data into useful insights for the business Requirements Background in data engineering concepts and tools Interest in reinsurance or insurance-related data Ability to work well in a collaborative, problem-solving setting

Data Solutions Engineer AcuityMD is an innovative software and data platform dedicated to enhancing access to cutting-edge medical technologies. Each year, the FDA greenlights approximately 6,000 new medical devices, and our platform enables MedTech companies to deliver these products to physicians more efficiently, ultimately improving patient care through advanced technology. Supported by notable investors such as Benchmark, Redpoint, and Ajax Health, we empower MedTech firms to gain insights into product usage, understand variations in outcomes, and identify opportunities for physicians to enhance patient service. We are seeking a passionate Data Solutions Engineer who will be instrumental in articulating and advocating for the AcuityMD data approach, showcasing how it drives business success for our MedTech clients. This role is customer-facing, allowing you to build strong relationships throughout the customer journey, from pre-sales to post-sales interactions. You will assist prospects in overcoming data challenges during the sales process while helping our customers visualize the value AcuityMD brings to their teams.

Join CGS Federal as a Data Engineer!Employment Type: Full-Time, Mid-LevelDepartment: Business Intelligence We are on the lookout for a dedicated and innovative Data Engineer to enhance our rapidly expanding Data Analytics and Business Intelligence platform. In this role, you will provide pivotal solutions that empower our federal clients by transforming data into actionable insights. The ideal candidate is a critical thinker, an avid learner, and eager to broaden their expertise across various technologies while tackling complex challenges. At CGS, we unite motivated, skilled, and creative individuals to address the government's most pressing issues using advanced technology. We seek candidates who are enthusiastic about government innovation, value collaboration, and are proactive in anticipating the needs of our clients. Our supportive environment fosters professional growth through numerous learning opportunities. Key Responsibilities:- Develop and manage data pipelines to effectively store, manage, and provision data for consumers.- Actively participate in an Agile/Scrum team while adhering to best practices.- Write efficient code to ensure the reliability and performance of data extraction and processing.- Facilitate continuous automation processes for data ingestion.- Uphold technical excellence by applying lean-agile engineering principles, including API-first design, simplified design, continuous integration, version control, and automated testing.- Collaborate with program management and engineers to implement and document complex and evolving requirements.- Foster a culture of excellence in customer service, innovation, collaboration, and teamwork.- Work alongside a diverse cross-functional team, including user experience researchers, designers, product managers, engineers, and functional specialists.

About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.

At WHOOP, our mission is to revolutionize human performance by providing unparalleled insights into our members' bodies and daily lives. We empower individuals to reach their peak potential through data-driven understanding.We are actively seeking a talented and innovative Data Engineer II to join our dynamic team in Boston, MA. In this pivotal role, you will take charge of designing, constructing, and optimizing scalable data pipelines and platforms that facilitate our data-driven insights. Your contributions will be essential in shaping robust ELT architectures, enhancing system reliability and performance, and guiding the technical vision of our data platform. With a strong emphasis on modern AWS infrastructure and tools such as Snowflake, DBT, Kafka, and Spark, you will play a critical role in amplifying our analytical and operational capabilities. If you are passionate about harnessing AI to bolster developer productivity and drive meaningful outcomes, we invite you to be part of our journey.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives our team members—whom we affectionately refer to as Klaviyos—bring to our innovative workplace. We believe that everyone deserves an equitable opportunity for success and value the unique insights each individual contributes beyond conventional job qualifications. If you feel you are close to the mark but may not meet every requirement, we encourage you to apply. Curious about life at Klaviyo? Visit klaviyo.com/careers to explore how we empower creators to take charge of their own destinies.At Klaviyo, we thrive on overcoming complex engineering challenges and seek engineers who have specialized skills yet are passionate about building, owning, and scaling features from inception to completion, while overcoming any hurdles or technical challenges that arise. We inspire one another to step outside our comfort zones, embrace new technologies, and strive to make each day an improvement over the last.Team Overview:Klaviyo operates a cutting-edge real-time data analytics platform primarily developed in Python, designed to handle extensive scale and hosted on Amazon Web Services (AWS). The Data Automation team is responsible for creating tools and establishing best practices that empower our Data Platform, fueling core Klaviyo functionalities and generating insightful, data-driven results.As a foundational member of the Data Automation team, you will define both the technical and organizational vision for the team. Your leadership will guide the design and development of systems critical to our analytics infrastructure.Team Tech Stack:AWSTerraformPythonKubernetesClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowHow You’ll Make an Impact:Lead and nurture a team of 7+ engineers to realize your data automation vision and roadmap.Coach engineers, oversee and review technical documentation, and articulate a phased approach to project execution.

ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.

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.

PA Consulting is looking for a Data Engineer to join the Corporate department in Boston. This role centers on designing and building data solutions that align with business objectives. Key responsibilities Collaborate with teams across the company to identify and understand data requirements Develop and maintain data pipelines to ensure reliable data flow Support the implementation of data solutions that contribute to business outcomes

Role Overview Klaviyo is hiring a Software Engineer II focused on Analytics Data Engineering in Boston, MA. This position centers on building and maintaining data systems that support analytics across the company. What You Will Do Work with teams from different disciplines to design and implement data pipelines. Create scalable solutions that help drive data-informed decisions throughout Klaviyo. Use modern technologies to support analytics initiatives and improve data infrastructure.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Role Overview redsox is hiring a Data Engineer in Boston, MA. This role focuses on designing and building data solutions that support decision-making throughout the company. The Data Engineer will work closely with teams from different departments to understand their needs and deliver reliable, scalable data pipelines. What You Will Do Design and implement data pipelines to support analytics and reporting Collaborate with cross-functional teams to gather data requirements Build solutions that help the organization make informed decisions Location This role is based in Boston, MA, United States.

Data EngineerLocation: Boston, MA (Hybrid — 2 days per week in office)About UsClasp is a dynamic, venture-backed startup dedicated to reshaping access to education and career opportunities. We are on a mission to transform how employers attract and retain vital talent while addressing the student debt crisis head-on. Our innovative platform connects employers, educational institutions, and diverse talent, utilizing accessible education financing as a core connection point. More than just a fintech company, we aim to be a catalyst for economic mobility.As a proud member of the Forbes Fintech 50 and a portfolio company of the Society of Human Resource Management (SHRM), Clasp has been recognized as the 'Startup of the Year' by StartUp Boston. Our commitment to social impact and innovation drives us to reshape the workforce's future, one opportunity at a time. Join us in empowering learners and unlocking fulfilling careers that foster positive change within their communities and beyond.The Role – Data EngineerWe are looking for a skilled Data Engineer to develop and manage robust data pipelines that will ingest and provide access to critical data concerning hundreds of millions of dollars in student loans, education enrollment statuses, and employment metrics. The ideal candidate will possess strong programming skills in Python and a fervor for high-performance data pipelines and the analytics they enable.At Clasp, we cultivate a DevOps culture where engineers have complete ownership of their code and the infrastructure it operates on. We seek candidates who are eager to make significant contributions to the architecture that supports our product roadmap and the Stride business, while also pursuing substantial personal growth alongside us!Our modern Data Technology Stack includes Airflow, dbt, PostgreSQL, Superset, BigQuery, Python, and SQL.Key ResponsibilitiesData Pipeline Development & ReliabilityDesign and maintain scalable data pipelines for ingesting and transforming financial, educational, and employment data.Ensure data reliability, timeliness, and accessibility for internal teams and external partners.Proactively identify and resolve data quality issues, including upstream dependencies.

Join Shift Technology, the premier AI-driven platform revolutionizing the insurance sector. Our innovative solutions leverage generative, agentic, and predictive AI to enhance underwriting, claims processing, and fraud detection, ultimately delivering exceptional operational efficiency and customer satisfaction. Trusted by leading insurers globally, we provide impactful AI solutions that drive real results.At Shift, our culture thrives on innovation, trust, and a commitment to transforming the insurance landscape through our SaaS offerings. Our diverse team hails from over 50 countries, uniting to shape the future of insurance.About the TeamAs part of our expansive Data Science team, you will collaborate with over 200 skilled Data Scientists worldwide.This role encompasses a full lifecycle of data science and engineering, providing you with a wealth of technical and professional experience in client engagement, data analysis, and coding.Our company size strikes a balance, allowing individual contributions to significantly impact our success while maintaining our position as a global leader in innovation.Your expertise will be pivotal in deploying enterprise-level solutions for our clients, working closely with our technical specialists.

At Shift Technology, we are at the forefront of revolutionizing the insurance landscape through our cutting-edge AI platform. Our unique blend of generative, agentic, and predictive AI empowers insurers to enhance underwriting, claims processing, fraud detection, and risk management, resulting in remarkable operational efficiency and superior customer satisfaction. Trusted by the world's foremost insurance providers, Shift Technology delivers scalable AI solutions that yield tangible business outcomes.We pride ourselves on a culture that thrives on innovation, trust, and a commitment to transforming the insurance sector via our SaaS offerings. With a diverse team representing over 50 nationalities, we are united in our mission to shape the future of insurance.About the TeamJoin our expansive Data Science team, comprising over 200 skilled Data Scientists globally.Our Data Scientists engage in comprehensive lifecycle roles, gaining profound expertise in data science, engineering, programming, business acumen, and client relations.At Shift, your contributions are significant; while we are a globally renowned leader, our size ensures that each team member's achievements are impactful.As part of the Data Science team, collaborate closely with technical specialists to deploy enterprise-level solutions for our clients.Key ResponsibilitiesContribute actively to the US Health roadmap and engage with a variety of data types, including structured claims data, free text, documents, and images.Develop and optimize data pipelines (structured, text, documents, images) for large language models (LLMs) and multi-modal models.Design, create, and implement LLM-based solutions (RAG, embeddings, instruction tuning) for claims management, document comprehension, and related applications.Explore cutting-edge agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A), and develop minimum viable products for next-generation payment integrity solutions.Create bespoke tools allowing the agent to query internal databases, access external weather APIs, or compute impact forces using telemetry data.Establish robust evaluation frameworks (LLM-as-a-judge) to ensure unbiased, legally sound, and transparent agent decision-making.

Foundation LLM Technologies, based in Boston, is an MIT-founded, venture-backed startup focused on transforming how physical products are designed and built. The company’s Engineering General Intelligence (EGI) platform acts as an AI Copilot to help teams accelerate and improve product development. Role overview The Mechanical Data Engineer will join the Data Studio team and play a central role in shaping the datasets that power EGI. This position focuses on converting raw customer data into well-structured, high-quality datasets used for model training, testing, and delivery to clients. What you will do Develop and maintain data pipelines that process mechanical and manufacturing data Design and implement labeling workflows for data annotation Create reference models to support AI system development Conduct quality assurance checks to ensure data accuracy and reliability Requirements Experience in mechanical engineering or manufacturing design Ability to work hands-on across product development, research, and engineering tasks Strong attention to detail in building and validating technical datasets

Who We AreAt CarGurus (NASDAQ: CARG), we empower individuals to navigate their automotive journey with confidence. What began as a small group of dedicated developers focused on enhancing trust and transparency in car shopping has transformed into the largest and fastest-growing automotive marketplace, achieving profitability for over 15 years.What We DoThe automotive landscape is rapidly changing, and so are we. We are committed to moving the entire car buying experience online, assisting our customers through every phase, from selling an old vehicle to financing, purchasing, and delivering a new one. Our platform attracts tens of millions of visitors each month, and approximately 30,000 dealerships utilize our innovative solutions. Our employees thrive in a culture that prioritizes kindness, collaboration, and innovation—equipping our Gurus with the resources they need for career advancement. Join us in disrupting a trillion-dollar industry!Role OverviewCar shopping can be a daunting task. At CarGurus, we leverage data and technology to simplify this process, providing individuals with the tools necessary to find, buy, finance, or sell a car with ease. Our impact is substantial as we are the most-visited car shopping site in the U.S. and are rapidly expanding our reach internationally. Ready to embark on this journey with us?The Data Engineering team is seeking a Senior Manager of Analytics Engineering to facilitate data-driven decision-making across the organization. You will oversee the development of scalable and high-performance data models that support reporting solutions for various stakeholders, including Product Management, Marketing, and Finance. We are in search of a collaborative leader who can actively influence our corporate analytics strategy as we grow and evolve.