Top Data Engineer Jobs

The Lead Data Architect will develop target data models aligned with business priorities, implement data strategy, promote semantic technologies, and ensure data governance.

The Data Entry Team Lead supervises a team responsible for licensing and credentialing tasks. Key responsibilities include training staff, monitoring team performance, providing feedback, and implementing service policies while ensuring customer satisfaction.

The Senior Data Engineer will work with data warehousing team to transform transactional data into datasets for reporting and analytics. Required skills include ETL development, database development, data integration, and strong SQL experience. Experience with large complex data systems, software administration, and ability to learn new tools quickly is crucial.

The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.

The Senior Data Engineer - Datalake analyzes, designs, and develops complex systems and processes. Responsibilities include creating application systems design documents, fulfilling end-user requests, leading cross-functional initiatives, and delivering quality solutions on time. The role demands strong collaboration and problem-solving skills.

Join Known's Media Science team as a Data Scientist in the Buyer Science team. Utilize advanced analytics and machine learning to optimize advertising dollars and drive real business value for clients. Collaborate with data analysts, media strategists, and software engineers to elevate media performance and implement campaign measurement strategies.

As a Staff Data Engineer, you will create and manage data pathways, develop self-service mechanisms, and oversee platform ownership of data systems. You are responsible for building data pipelines, coordinating with engineering teams, and supporting analyst data requests, while driving innovation in data ingestion and engineering best practices.