Edwards Lifesciences
Data Engineer
USA - California – Irvine
Sponsorship not specified$87k-$123kDetected 9 days ago
PythonScalaData StructuresGitSQLDatabricksAWSGCPAzureCloud PlatformsCI/CDGitHub ActionsDevOpsPlatform EngineeringSparkData EngineeringData ScienceHIPAAPatient Care
About the role
- Many structural heart patients suffer from heart failure with limited options.
- Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention.
- Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members.
Responsibilities
- Apply hands-on expertise in Python, cloud technologies, Databricks, Apache Spark, SQL, and AI to build scalable and innovative data solutions
- Design, build, and maintain scalable, well-documented enterprise data products and ETL/ELT pipelines supporting batch and near-real-time processing
- Monitor, optimize, and tune data infrastructure and Spark/Databricks workloads to improve performance and cost efficiency
- Collaborate cross-functionally with Data Science, Analytics, DevOps, Product, and Platform Engineering teams to deliver new features and data products
- Contribute to architecture discussions and implement best practices such as layered data modeling and Lakehouse design patterns
- Perform other incidental duties as assigned
- This role focuses on transforming raw data into trusted, reusable data products that support analytics, reporting, and downstream applications across the enterprise.
- Proven experience building and deploying production-grade data workloads
- Understanding of Lakehouse architecture, medallion design, and enterprise data modeling standards
Requirements
- Experience with Databricks Workflows, Repos, Jobs, and cluster configuration
- 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)
- 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)
- 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
- Eligibility to work in the U.S. or EU, with the ability to travel as required
Nice to have
- Bachelor's degree in a related field, plus experience in Data Engineering, DevOps, or Software Development
- Hands-on experience with cloud platforms (AWS preferred: EC2, S3, Lambda
- Azure or GCP also acceptable)
Compensation
- For California (CA), the base pay range for this position is $87,000 to $123,000 (highly experienced).
Benefits
- Experience working in regulated environments (e.g., healthcare, finance, or life sciences) preferred
- Ability to comply with company policies, including Environmental Health & Safety and applicable workplace protocols
- Ensure compliance with data privacy standards, including the handling of Patient Health Information (PHI), and adhere to enterprise security and governance policies
Company info
- Join us and be part of our inspiring journey.
- We're seeking a Data Engineer with strong enterprise experience delivering data product solutions on the Databricks Lakehouse Platform.
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