Pay
Lower than most similar jobs
$87K–$123K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
USA - California – Irvine
Actively hiring, first seen by us 10 hours ago- Pay
$87,000–123,000/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Employer’s visa record
- 107 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
- Eligibility
Relocation assistance is not provided, and candidates must reside within a 50-mile radius of Irvine to be considered. — eligibility source
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.
Read the full posting
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
At Edwards Lifesciences, jobs usually come down by about day 41.
From 13,754 similar postings that came down, and 47 of Edwards Lifesciences’s. Coming down is not always a hire.
Edwards Lifesciences is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- GCP
- S3
- Spark
- PySpark
- Great Expectations
Where the posting names them
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
- 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)
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 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:
- 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
- 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
- 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
- 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
- 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
- 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
Your next step
Complete your application on edwards.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Edwards Lifesciences posted this job before?
Yes. We’ve followed one other Data Engineer job there since June 2026. It came down after 23 days.
About Edwards Lifesciences
- People
- About 16,000 in 2025, up 1% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EW.
- H-1B visas
- 14 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 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 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
USA - California – Irvine
- 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):
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.