Top Data & Analytics Jobs

Lead design, build, test, and support cloud-based data platforms and streaming systems. Collaborate across agile teams to deliver scalable ETL, real-time processing, data warehousing, and mentor engineers while ensuring code quality and performance.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead Data Engineer designs, builds, tests, and supports cloud-based data solutions. Collaborates with Agile teams on distributed, real-time, and full-stack systems using Java/Scala/Python, cloud data warehouses, big data and NoSQL technologies while mentoring peers.

Lead Data Engineer responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. Collaborate across Agile teams to build distributed, real-time data and streaming systems, mentor engineers, perform unit tests and code reviews, and leverage big data, NoSQL, and cloud data warehousing technologies.

Lead the migration domain to ensure accurate, complete, repeatable migration of customer, account, product, and transactional data. Oversee migration automation/tooling and legacy data hygiene. Own analytical frameworks, data mapping, and reconciliation controls to ensure institutional and regulatory confidence. Lead cross-functional teams and drive product outcomes aligned with business and technology objectives.

Lead Data Engineer responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. Collaborate across Agile teams on distributed microservices, streaming, and machine learning pipelines using Java/Scala/Python, RDBMS/NoSQL, and data warehousing (Redshift/Snowflake). Mentor engineers, perform unit tests, and deliver performant production systems.

Lead Data Engineer to design, develop, test, implement, and support cloud-based big data solutions. Collaborate across Agile teams on distributed, streaming, and full-stack systems using Java/Scala/Python, RDBMS and NoSQL, Redshift/Snowflake, and cloud platforms. Mentor engineers, perform code reviews, and ensure performant, well-tested implementations.

The Data Manager acts as a liaison for WMS data standards, manages supplier performance, develops process improvements, and leads complex projects.

Lead and mentor engineering teams to design, build, test, and support cloud-based data solutions. Work with big data, streaming, and data warehousing technologies, collaborate with product managers, and ensure performant, well-tested code and architectures.

Lead and mentor a team of data engineers to design, develop, test, implement, and support cloud-based data platforms and full-stack solutions. Build distributed, real-time, and batch data systems using Java/Scala/Python, big data tools (Spark, Hadoop, Kafka), NoSQL and RDBMS, and data warehouses (Redshift, Snowflake). Collaborate with Agile teams, perform unit tests and code reviews, and drive technology experimentation and transformation.