Top Senior Level Data Engineer Jobs

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 Director of Data Engineering will lead data engineering initiatives at GoFundMe/Classy, overseeing the development of data pipelines and analytics tools. Responsibilities include collaborating with stakeholders, managing a team of data engineers and analysts, and driving best practices in data management and continuous improvement. Additionally, they will develop key product metrics and foster a culture of innovation.

The Senior Data Processor will manage the processing and quality control of hydrographic data, including multibeam bathymetry, sidescan sonar, and LiDAR. Responsibilities include data compilation, analysis using specific software, documentation, report preparation, and ensuring adherence to ISO standards and client requirements.

Design, develop, and maintain scalable data pipelines using pyspark on Databricks, implement stream processing workflows using Kafka, leverage Databricks platform on AWS for data processing, collaborate with data analysts, ensure data integrity and quality, stay up-to-date with latest technologies.

The Data Operations Manager will oversee the management of an ophthalmic imaging data lake, focusing on data collection, storage, access, and quality while ensuring compliance with healthcare regulations. Responsibilities include designing data procedures, managing access controls, providing technical support, and collaborating with internal and external stakeholders on data needs.

The Data & AI Solutions Lead will manage a team of analytics professionals, focusing on leveraging Tableau for data visualization, driving insights, and supporting business decisions. Responsibilities include consultation, coaching, and managing team performance while working with large datasets and communicating complex concepts to stakeholders.

The Senior Data Operations Engineer will manage ETL processes, build and maintain data assets, troubleshoot data issues, support data append systems, and collaborate with various stakeholders to improve data operations.