Top Data Engineer Jobs

As the Lead Data Engineer, you'll guide the Customer Identity team, focusing on improving customer recognition systems, implementing quality KPIs, and mentoring engineers.

Build and operate data pipelines for research training data, collaborate with researchers to develop APIs and tooling for data management and analysis, and embed with teams to enhance workflows and solutions.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

The Senior Data Engineer collaborates with clients to address their data needs, leads analytics and visualization projects, develops dashboards, and enhances data solutions. Responsible for SQL and NoSQL database projects, and supports the Department of Justice's mission-critical operations.

The Data Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

The Data Platform & Analytics Engineer builds and maintains a Snowflake data platform, implements MDM processes, and ensures data quality for AI/ML use.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Lead Data Engineer designs and oversees data systems to facilitate data-driven decisions, collaborating with teams to build scalable data infrastructure and tools.

The Senior Data Engineer will create AWS-based data pipelines, ensuring data quality and a single source of truth while collaborating in an agile environment.

The Senior Data Engineer will design, build, and optimize data infrastructure and pipelines, manage cloud data platforms, and work on AI projects, ensuring high data quality and efficient integration across systems.

The Senior Data Engineer will design and optimize data infrastructure on cloud platforms, manage large-scale data projects, and support AI initiatives. Responsibilities include developing ETL pipelines, implementing data solutions, optimizing performance, and mentoring junior engineers.

Lead the data engineering team to design and maintain data pipelines, evaluate technologies, mentor juniors, and ensure system performance and reliability.

As a Senior Data Engineer, you'll design and manage scalable data pipelines and infrastructure, transform raw data, and collaborate on AI-driven projects, ensuring high data quality and effective workflows.

The Senior Data Engineer is responsible for designing, building, and optimizing data pipelines, managing databases, and ensuring data integrity while leading junior engineers.

Lead and define architectural solutions for data pipelines, mentor teams, optimize ETL/ELT processes, and ensure data governance in a client-facing environment.

The role involves building and owning data pipelines, maintaining data quality, and creating reporting systems that provide insights to various teams. The candidate will also design AI-ready data infrastructure.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

The Data Engineer will design and maintain data pipelines, collaborate with teams on data needs, and ensure data integrity and quality while leveraging AWS services.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.