Top Hybrid Data Engineer Jobs

The Data Management Coordinator will oversee North American master data domains, collaborating with business areas to manage data operations and ensure compliance with policies. Responsibilities include providing insights on data usage, resolving master data issues, executing training programs, and contributing to process improvements.

Lead Data Engineer role at a leading industrial distributor focusing on centralizing and integrating high-quality, complex data sets in a scalable cloud platform. Responsibilities include designing data pipelines, working with architects, implementing data models, enabling data discovery, building frameworks, and mentoring team members. Requires 10 years of experience in modern data engineering projects and proficiency in various technologies and tools like AWS, Snowflake, Python, Docker, Kubernetes, and BI tools like Tableau and PowerBI.

As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.

The Sr. Data Engineer is responsible for designing and maintaining data architecture and pipelines, solving complex data problems to deliver insights, and creating data products for various teams. The role involves mentoring other professionals, evaluating emerging tools, and ensuring operational efficiency within data solutions while collaborating with multiple engineering teams.

The Associate Principal, Data Analytics Engineering will lead efforts to enhance OCC's analytics capabilities by managing internal corporate data and its accessibility for analysts. Responsibilities include designing and building an analytics data warehouse, automating data processes, integrating data from various sources, ensuring data quality, and creating data visualizations. The role requires collaboration with business and technical teams to enable data-driven decision-making and promote data literacy. The ideal candidate should have strong communication skills and a commitment to continuous learning in data analytics best practices.

The Principal Analytics Architect will lead the Tableau function and data strategy for the Marketing Intelligence Team at Morningstar. Responsibilities include developing analytics reporting suites, collaborating with cross-functional teams, building cloud data environments, mentoring junior analysts, and optimizing Tableau dashboards to drive marketing effectiveness.

The Data Engineer will design and build scalable data systems and contribute to the architecture of Canoe's Alts Data Platform. Responsibilities include developing data models and pipelines, collaborating with AI/ML engineers, and ensuring operational excellence.