Senior Data Engineer

What You’ll Do

• Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
• Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
• Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
• Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
• Collaborate with analytics engineers and product teams to turn models into high-value data products powering analytics applications.
• Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
• Drive improvements in upstream systems and schemas to reduce data issues at the source.

Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
• Strong expertise in SQL and Python for building scalable data pipelines and transformations.
• Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
• Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
• Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
• Experience designing and operating production-grade data pipelines with monitoring and observability.
• Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.