Top Data Engineer Jobs

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Data Engineer will manage, optimize, and expand data infrastructure for a clinical data registry, focusing on building automated data pipelines and supporting healthcare advancements through data insights.

The GTM Data Engineer designs and manages a customer and revenue data foundation, ensuring data quality and availability for Marketing, Sales, and Customer Success teams, while overseeing data integration and reporting.

The Founding Data Engineer/Data Scientist will design and build data systems for payments and fraud, ensuring data accuracy and enabling analytics. Responsibilities include establishing data pipelines, models, quality checks, and documenting processes while collaborating with stakeholders.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

The Data Engineer will develop and integrate data pipelines, ensure data integrity, and support continuous automation in an Agile/Scrum environment.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

The Data Engineer will design, build, and maintain analytics-ready Data Marts, create resilient data pipelines, and ensure data integrity, working closely with analytics teams to deliver reliable datasets.

Senior individual contributor leading design and build-out of enterprise Azure cloud data platform capabilities. Defines architecture, reusable patterns, and standards; provides hands-on implementation, technical mentorship, and cross-functional alignment to enable scalable, secure analytics and data solutions.

Lead design and implementation of enterprise Azure cloud data platform capabilities. Define reference architectures, reusable platform components, standards, and enablement for ingestion, storage, processing, security, and observability. Provide hands‑on engineering, technical leadership, cross‑functional collaboration, and mentorship to ensure scalable, secure, and consistent data solutions.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

As a Data Engineer at Equifax, you will build and maintain data pipelines, implement data frameworks, support AI capabilities, and ensure data quality.

As a Data Engineer at Booz Allen, you'll analyze and visualize structured and unstructured data to derive insights, working closely with stakeholders and leveraging advanced technologies for decision-making support.

As a Data Engineer Lead, you will develop and maintain complex data applications, oversee data engineering activities, mentor teams, and work on mission-driven projects involving data insights.

The Data Engineer II will build and maintain data pipelines and infrastructure, ensuring data flow and integrity for investment decisions while collaborating with stakeholders.

The Junior Data Engineer will build, maintain, and monitor data pipelines for laboratory and R&D functions, ensuring data quality and governance while collaborating with various teams.