Pay
In line with similar jobs
$166K–$205K against $127K–$190K, the middle half of what similar US postings state.
From 2,232 postings in the last year. Stated ranges, not salaries paid.
Data Engineer III
New York City, New York
Live, first seen by us 65 days ago- Pay
$166,000–205,000/yearAnnual period assumed — pay source
Compensation Transparency: The target salary range for this position is $166,000 - $205,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice:
Read the full posting- Work setting
On-site — work setting source
Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do:
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time
What you’ll work on
Full postingWe are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack.
This role will be based in our New York City office.
Build, optimize, and maintain data pipelines that power the business
Define and build reusable data sets for BI, marketing and data science
Design and build a federated data validation framework to monitor inconsistencies
Protect user privacy and security through best practices
From the employer’s posting
We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
What you’ll bring
All qualificationsCore experience
- 2+ years of software or data engineering experience
- Expertise in SQL and Python
- Expertise in building scalable data pipelines, query optimization and data modeling
- Experience with Airflow, PostgreSQL and Snowflake
Qualification wording
2+ years of software/data engineering experience
Expertise in SQL and Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 5, 202665 days ago
- Recorded sightings
- 43
- Last seen by us
- Nov 9, 2026
- Reposted
- once since Apr 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 65
Up longer than most. Similar jobs usually come down between day 5 and day 54.
Well past Garner Health’s usual: its jobs come down by about day 20.
From 12,127 similar postings that came down, and 7 of Garner Health’s. Coming down is not always a hire.
Garner Health is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
- 13% of open jobs were reposted
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
- SQL
- Airbyte
- AWS
- dbt
- DuckDB
- Elasticsearch
- Iceberg
- Looker
- PostgreSQL
- Snowflake
- Spark
- Terraform
- Airflow
Where the posting names them
About the role: We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work:
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality). - Expertise in SQL and Python - Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Technologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake) - Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry. - Familiarity with healthcare or insurance
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets - Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake) - Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Garner Health posted this job before?
Yes. We’ve followed one other Data Engineer III job there since April 2026. It came down after 141 days.
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
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
- Protect our users’ privacy and security through best practices
The ideal candidate has:
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
- Expertise in SQL and Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
- Familiarity with healthcare or insurance
- Familiarity with data security and HIPPA compliance
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $166,000 - $205,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation Transparency: The target salary range for this position is $166,000 - $205,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice:
- Location & working pattern
New York City, New York
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: