Senior Software Engineer Data Products

You Will

• Establish and maintain

  data lineage and governance

  to ensure transparency, traceability, and compliance across all data sources.
• Design and implement

  ETL/data pipelines

  to synchronize data from enterprise systems (Workday, Greenhouse, GSuite, JIRA, internal databases, and GitHub).
• Collaborate with

  product managers, UX designers, and data scientists

  to deliver end-to-end features and data products.
• Ensure

  data quality, consistency, and reliability

  across multiple sources.
• Contribute to architecture and design discussions, including data modeling, storage strategies, and microservices patterns.
• Mentor junior engineers and help improve engineering practices across the team.
• Propose and implement improvements to

  data processing, storage, and product workflows

  .

You Have

• 5+ years of software engineering experience with a strong foundation in

  backend and data engineering.

• Experience designing and building ETL/data pipelines using modern orchestration tools (e.g., Airflow, Dagster, Prefect, or equivalent).
• Solid knowledge of relational databases (schema design, query optimization, data modeling) and familiarity with modern data storage models (e.g., Lakehouse, Delta, Iceberg)
• Experience with event-driven systems (Kafka, Pulsar, etc.).
• Hands-on experience with distributed data processing

  frameworks

  (e.g., Spark) or modern analytics tools.
• Hands-on experience building and deploying microservices (REST/gRPC) in a distributed environment.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and best practices for deployment, scaling, and reliability.
• Strong analytical skills with attention to detail, reliability, and operational excellence.
• Excellent cross-functional collaboration skills, working effectively with UX/Product, Data Science, and Platform teams.
• Exposure to building and deploying microservices (REST/gRPC) in a distributed environment.

What We re Looking For

• Data-first mindset: Comfortable working with multiple data sources, transforming and exposing data as usable products.
• Backend expertise: Able to design and implement robust microservices and APIs in a scalable distributed system.
• Product orientation: Works closely with UX/Product to ensure features are intuitive, reliable, and impactful.
• Collaboration: Thrives in a cross-functional environment, effectively communicating with global teams.
• Innovation: Curious and proactive in proposing new approaches to data integration, storage, and product design.