Top Data Engineer Jobs

As a Data Engineer Manager at PGIM, you will design and implement scalable data pipelines using Azure services, develop data models, optimize data retrieval, and ensure data integrity while collaborating with analysts and data scientists.

The Principal Data Engineer for Geospatial Platforms at AiDash will design, build, and optimize data pipelines and architectures for managing large-scale geospatial data. The role involves collaborating with data science teams, ensuring data quality, proposing big data solutions, and providing technical leadership to enhance data infrastructure.

The Senior Snowflake Data Engineer will design and implement data models, manage data quality, optimize data processes, and mentor offshore engineers. Responsibilities include building scalable data solutions, collaborating with stakeholders to deliver analytics products, and driving improvements in data management practices.

The Data Engineer will design, implement, and maintain data pipelines and data warehousing solutions. Responsibilities include extracting data from various sources, transforming it for usability, and loading it into Azure data storage solutions. The role also involves ensuring data quality, collaborating with stakeholders, and documenting processes.

The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes, collaborate with teams to meet data needs, optimize workflows, and troubleshoot issues. This role requires strong analytical and problem-solving skills while ensuring efficient data storage and compliance with governance practices.

The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.

As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.

The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.

Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.

The Data Engineer will migrate existing data flows to JWICS AWS, automate data gathering and cleaning using Python, and develop a data management system for the intelligence enterprise. Responsibilities include designing data systems, optimizing data architectures, and assisting the government in maintaining data infrastructures.

Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.

The Senior Data Engineer will collaborate with Agile teams to design, develop, and support full-stack technical solutions. This role involves leveraging various programming languages and technologies to deliver cloud-based services that enhance customer financial empowerment, while mentoring team members and driving tech innovations.

As a Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.

As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.

The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.

The Data Engineer will manage the data warehouse and associated pipelines while administering the production OLTP database. Responsibilities include ensuring smooth data operations and maintaining best practices with a focus on current technologies and effective communication.

Join a team of data engineers at Egen, a data engineering and cloud modernization firm. Responsibilities include building event-driven data pipelines, solving data integration challenges, and working on cloud-native data warehouse processing. Requires strong skills in Python, SQL, Bash, and experience with distributed data warehousing technologies and Kafka.