Collaborate cross-functionally with Data Science, Analytics, DevOps, Product, and Platform Engineering teams to deliver new features and data products
Troubleshoot and resolve data pipeline issues; ensure data quality through testing, monitoring, and CI/CD best practices
Ensure compliance with data privacy standards, including the handling of Patient Health Information (PHI), and adhere to enterprise security and governance policies
Contribute to architecture discussions and implement best practices such as layered data modeling and Lakehouse design patterns
Perform other incidental duties as assigned
What you’ll need (Required)
Bachelor’s degree in a related field, plus experience in Data Engineering, DevOps, or Software Development
Strong hands-on Databricks experience
Advanced SQL skills for data transformation, analytics, and data modeling
This is an onsite role based in Irvine, CA. Relocation assistance is not provided, and candidates must reside within a 50-mile radius of Irvine to be considered.
What else we look for (Preferred)
Hands-on experience with cloud platforms (AWS preferred: EC2, S3, Lambda; Azure or GCP also acceptable)
Experience with Databricks Workflows, Repos, Jobs, and cluster configuration
Proven experience building and deploying production-grade data workloads
Proficiency in Spark (PySpark or Scala) with strong understanding of performance tuning and internals
Experience with Delta Lake (e.g., schema evolution, time travel, optimization)
Understanding of Lakehouse architecture, medallion design, and enterprise data modeling standards
Strong foundation in databases, ETL processes, and data structures
Experience with data governance and security practices (RBAC, data masking, PII handling)
Familiarity with data quality frameworks (e.g., Great Expectations, Deequ, or custom validation checks)
Understanding of data contracts, SLAs, lineage, and data ownership models
Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or GitLab CI) and version control using Git
Experience delivering end-to-end data products (not just pipelines) for analytics, BI, and application use cases
Experience working in regulated environments (e.g., healthcare, finance, or life sciences) preferred
Eligibility to work in the U.S. or EU, with the ability to travel as required
Ability to comply with company policies, including Environmental Health & Safety and applicable workplace protocols
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $87,000 to $123,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
