Top Data Engineer Jobs

As a Data Engineer at Booz Allen, you'll manage data engineering activities, develop scalable platforms, and work with multidisciplinary teams to extract meaningful insights from big data.

Develop and maintain data pipelines and data services for the life insurance market, ensuring data quality and supporting analytics needs while collaborating with team members and following best practices.

Support CI/CD pipelines and AWS cloud infrastructure in a collaborative environment. Responsibilities include monitoring code execution, managing cloud resources, and assisting with containerization and documentation.

The Data Engineer III designs, builds, and maintains scalable data pipelines and systems, ensuring data quality and supporting integration. They collaborate with cross-functional teams and mentor early-career engineers, optimizing data workflows and implementing automation for insights generation.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.

Develop and implement data pipelines in Databricks, ensuring data governance and compliance while collaborating with teams on ML workflows. Optimize data ingestion and conduct quality analysis.

The Databricks Data Engineer will develop and implement ETL pipelines, CI/CD pipelines, and ensure data governance while collaborating with teams.

As a Data Engineer at Lindy, you'll design ETL pipelines, develop dashboards, and collaborate with leadership to derive critical business insights.

The Data Engineer II builds data science tools and infrastructure, collaborates with engineers, mentors interns, and enhances ETL processes.

As a Data Engineer at Fastly, you will enhance the data infrastructure, optimize data pipelines on GCP, and support data-driven decisions across the organization by building user-friendly analytics products and managing data transformations.

Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.

Lead design, build, and maintain scalable data pipelines and warehouses. Drive technical roadmap, mentor engineers, implement data quality/testing/monitoring, optimize performance and cost, and collaborate cross-functionally to ensure reliable data for BI, ML, and applications.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

The Data Engineer at SOM will manage and develop data pipelines, ensure data quality, and lead automation with tools while mentoring junior staff.

The Snowflake Data Engineer will design, implement, and optimize data solutions using Snowflake, ensuring data integrity, security, and performance while developing efficient data pipelines.

As a Data Engineer at Uline, design and manage ETL workflows, ensure data quality, write optimized SQL queries, and collaborate for smooth production deployments.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

The Cloud Data Engineer will design and develop data ingestion pipelines, manage GCP infrastructure, and ensure data availability for operational systems, leveraging AI tools and collaborating closely with data specialists.

The Data Engineer III role involves managing data projects, developing data solutions and pipelines, automating processes, troubleshooting data issues, and mentoring junior developers.

The Data Engineer II develops data pipelines using Snowflake and Azure Data Factory, enhances data quality, and supports cloud migration efforts.

Designs and implements scalable multi-tenant data solutions and pipelines using Python, SQL, Snowflake, Snaplogic, Azure and AWS. Leads architecture design, ensures QA readiness, documents systems, mentors engineers, and coordinates cross-team project delivery on-time and on-budget.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

The role involves designing and building Azure data platforms, implementing ETL/ELT processes, and managing data architecture while ensuring reliability and governance. The engineer will provide leadership through code reviews and documentation.

The Data Engineer II will build and maintain data pipelines, optimize data transformations, and ensure data quality in a cloud-based architecture.