Top Senior Level Data Engineer Jobs

The Director of Data Management will oversee regional data management needs, deliver master data services, and ensure the quality of data operations. Responsibilities include partnering with business leaders, establishing master data management capabilities, and ensuring adherence to policies and standards.

As a Senior Data Engineer at DRW, you will design and build innovative data solutions for financial markets, managing a Unified Data Platform that supports traders and researchers. This role requires expertise in distributed data systems, data pipelines, and quality assurance, as well as leadership skills to mentor junior team members.

The Lead Analytics Engineer will lead the development and optimization of data analytics frameworks, focusing on ETL processes, data modeling, and orchestration using tools like DBT, Snowflake, Airflow, and Dagster. Responsibilities include mentoring team members, managing multiple projects, collaborating with cross-functional teams, and championing best practices in data analytics.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

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 Governance will oversee and support Data Governance processes, collaborate with business and technical teams, and implement solutions related to Metadata Management, Data Quality, and Data Lineage across multiple data sources. Responsibilities include defining data elements for the Business Glossary, ensuring clean data through quality rules, and managing data governance policies.