Data Engineer III

Garnerhealth
New York, NY

Who this role is best for

Strong fit for data engineers with healthcare experience who build scalable pipelines and prioritize data governance.

Best fit for

  • Candidates with 2+ years of data engineering experience in healthcare or insurance domains
    — “Familiarity with healthcare or insurance
  • Individuals skilled in creating reusable datasets and optimizing queries for large-scale systems
    — “Define and build out abstracted reusable data sets... and defining reusable datasets
  • Professionals who thrive in mission-driven environments with high expectations and autonomy
    — “A desire to be a part of a high-performing, mission-driven team

Things to consider

  • Requires in-office presence three days a week in New York City
    — “This role will be based in our New York City office
  • No visa sponsorship available, so candidates must be eligible to work in the U.S.
    — “we are unable to sponsor or take over sponsorship of an employment visa

How to stand out

  • Highlight your experience with federated data validation and data governance frameworks
    — “Design, build, and evangelize a federated data validation framework
  • Emphasize your track record in optimizing data pipelines and working with Snowflake and Airflow
    — “Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
  • Showcase your ability to work with medallion/event-driven architectures and telemetry
    — “Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and maintain data pipelines
  • define and build reusable datasets
  • design and evangelize data validation framework
  • protect user privacy and security
Typical background
2+ years of software/data engineering experienceexpertise in SQL and Pythonexperience with orchestration tools and databases

Skills & requirements

Required

SQLPythonAWSData PipelinesData WarehousingData GovernanceBig DataData PrivacyData QualityAirflowPostgreSQLSnowflakeHipaa Compliance

Preferred

HealthcareInsurance

Stack & domain

PythonSQLAWSPostgreSQLSnowflakeAirflowLeadershipCommunicationHealthcareAI

About the role

Original posting from Garnerhealth via Greenhouse

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: Garnerhealth careers (Greenhouse)

Similar roles