Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well, not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team.
We are looking for a hands-on Staff Data Engineer to join our data engineering team and drive the implementation of pipelines which deliver the insights core to our business. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS. They should be excited about collaborating with data scientists to bring their research to life.
This position can be fully remote or on-site
Main Responsibilities:
- Build and maintain data pipelines delivering core insights
- Collaborate with data scientists to productionize research results
- Protect our users’ privacy and security through best practices
- Delivering insights via our data warehouse
- Support pipelines in production
- Assist in task planning, estimation, scheduling, and staffing
- Mentor junior and mid-level engineers
- Grow engineering teams by interviewing, recruiting, and hiring
Our Tools:
Python, AWS, Terraform, Snowflake, Git
Ideal Qualifications:
- 7+ years hands-on work building data pipelines and internal applications
- Expertise in Python
- Comfortable working at an intersection of many different parts of the organization
- Comfortable leading research and development projects that produce new designs, products, and processes
- Comfortable checking the team’s work for technical accuracy
- Ability to coordinate work with managers and other staff
- Experience working with an orchestration tool such as Airflow, Argo, Prefect, or Dagster
- Familiarity with healthcare or insurance
- Experience with one or more database warehouses, especially Snowflake
Why You Should Join Our Team:
- You are mission-driven and want to work at a company that can change the healthcare system
- You want to be on a small, fast-paced team that nimbly moves to meet new challenges
- You love ideating on new features and working with data to find new insights
- You’re excited about researching and working with the latest tools and technologies
The target salary range for this position is $190,000 - $220,000 annually. Individual compensation for this role will depend on a variety of 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.
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 [email protected].Beware of job scam fraudsters! Our recruiters use getgarner.com email addresses exclusively. We do not post open roles on Indeed, conduct interviews via text, instant message, or Teams and we do not ask candidates to download software, purchase equipment through us, or to provide sensitive information such as bank account or social security numbers. If you have been contacted by someone claiming to be a Garner recruiter or hiring manager from a different domain about a job offer, please report it as potential job fraud to law enforcement here and to [email protected]
United States
