Top Hybrid Data Engineering Jobs

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

Lead design, implementation, automation, and maintenance of large-scale ETL pipelines and scalable data solutions. Translate business questions into data requirements, validate and test datasets, mentor junior engineers, collaborate with analytics and stakeholders, and ensure robust, production-ready data solutions across global clients.

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.

The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.

Design, build, and maintain scalable ETL/ELT pipelines using Python, Spark, Databricks, Airflow and SSIS. Integrate and cleanse diverse healthcare datasets, implement Unity Catalog for metadata and governance, optimize Spark performance and JVM tuning, support Medallion architecture, and collaborate with cross-functional teams to automate CI/CD, observability, and data quality processes.

As a Data Engineer Intern, you'll develop and maintain data pipelines, support ETL processes, analyze data, and complete a capstone project, while learning from experienced mentors.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.