Senior Data Engineer

Edwards Lifesciences Gruppe; United States; On-site; USD 108,000 - 153,000; Full time

Job summary

Edwards Lifesciences is seeking a Senior Data Engineer for the Implantable Heart Failure Management team in Irvine, CA. You will build scalable data pipelines and analytics products on the Databricks Lakehouse Platform, enabling trusted data for analytics, reporting, and downstream applications.

The role requires hands-on Databricks, Python, and SQL expertise, with collaboration across Data Science, Analytics, DevOps, and Platform Engineering teams. Onsite in Irvine, relocation not provided.

Qualifications

• Bachelor’s degree in a related field with 4+ years in Data Engineering, DevOps, or SW development.
• Strong hands-on Databricks experience and advanced SQL skills.
• Experience building production-grade data pipelines and data products.

Responsibilities

• Build scalable, governed data pipelines and analytics products on the Databricks Lakehouse Platform.
• Collaborate with Data Science, Analytics, DevOps, and Platform Engineering teams.
• Ensure data quality, testing, monitoring, and CI/CD for data workloads.

Skills

Databricks

Python

SQL

Spark

CI/CD

Data modeling

Education

Bachelor’s degree or higher

Tools

Databricks

Spark

Delta Lake

GitHub Actions

Azure

Job description

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. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. We’re seeking a Senior Data Engineer with strong enterprise experience delivering data product solutions on the Databricks Lakehouse Platform. The ideal candidate brings hands‑on expertise building scalable, governed, production‑grade data pipelines and analytics products using Databricks, Apache Spark, SQL, and CI/CD practices. This role focuses on transforming raw data into trusted, reusable data products that support analytics, reporting, and downstream applications across the enterprise.

How you’ll make an impact:

• 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
• 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 four years of experience in Data Engineering, DevOps, or Software Development -or- Master’s degree plus three years -or- PhD
• Strong hands‑on Databricks experience
• Advanced SQL skills for data transformation, analytics, and data modeling

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

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.

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 $108,000 to $153,000 (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.

Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. Through breakthrough technologies, world‑class evidence and partnerships with clinicians and healthcare stakeholders, our employees are inspired by our patient‑focused culture to deliver life‑changing innovations to those who need them most.