Pay
In line with similar jobs
$150K–$175K 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
New York, NY
Live, first seen by us 23 days ago- Pay
USD 150,000–175,000/yearAnnual period assumed — pay source
Compensation: $150,000—$175,000 USD Who We Are:
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 4 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.
What you’ll work on
Full postingOur data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills.
This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.
Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence, and operational needs.
From the employer’s posting
Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.
This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.
Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions. Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products. Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products. Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis. Build and maintain robust data models that support clinical, business intelligence, and operational needs.
Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis. Build and maintain robust data models that support clinical, business intelligence, and operational needs. Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
About K Health
We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 22, 202623 days ago
- Recorded sightings
- 24
- Last seen by us
- Nov 14, 2026
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 23
Similar jobs usually come down between day 6 and day 56.
From 13,700 similar postings that came down. Coming down is not always a hire.
K Health is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 50% 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
- AWS
- Azure
- GCP
- Kubernetes
- Airflow
Where the posting names them
About the role: Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.
- 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing) - Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python. - SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets.
- Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python. - SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets. - Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
Bonus: - Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions. - Knowledge of data orchestration tools (e.g., Airflow)
- Understanding of CI/CD practices and version control systems. - Experience with Kubernetes. - Experience in ML/AI development.
- Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions. - Knowledge of data orchestration tools (e.g., Airflow) - Understanding of CI/CD practices and version control systems.
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
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
About the role:
Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.
This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.
What you will do:
- Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
- Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
- Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
- Build and maintain robust data models that support clinical, business intelligence, and operational needs.
- Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
- Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.
What we’re looking for:
- 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing)
- Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python.
- SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets.
- Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
- A passion for maintaining data quality and ensuring trust in business-critical data.
Bonus:
- Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions.
- Knowledge of data orchestration tools (e.g., Airflow)
- Understanding of CI/CD practices and version control systems.
- Experience with Kubernetes.
- Experience in ML/AI development.
Benefits & Perks: #LI-Hybrid
- Monday to Thursday onsite work schedule with Fridays remote
- Weekly lunches (Mon, Tues, and Thurs) and stocked kitchen with healthy snacks and beverages
- Monthly social committees for company events
- 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
- Stock options for every full-time employee
- Paid parental leave
- 401k benefit
- Commuter Benefits
- Competitive health, dental, and vision insurance options
Compensation:
$150,000—$175,000 USD
Who We Are:
Behind every leading health system is K Health’s AI-powered virtual care engine.
Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.
We’re founded in 2016, headquartered in New York City, and backed by over $443.5M from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.
We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.
We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.
We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation: $150,000—$175,000 USD Who We Are:
- Location & working pattern
New York, NY
- Experience in ML/AI development. Benefits & Perks: #LI-Hybrid - Monday to Thursday onsite work schedule with Fridays remote - Weekly lunches (Mon, Tues, and Thurs) and stocked kitchen with healthy snacks and beverages
- Work authorization
Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. What you will do:
More relevant text appears in the full description.