Staff Data Engineer
Staff Data Engineer
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$ 220000 - 260000
1 Vacancy
Job Description
Garnersmission 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 datadriven 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 toptier venture capital firms are growing rapidly and looking to expand our team.
Were looking for a Staff Data Engineer to lead the engineers on the Health Intelligence team in building robust scalable data pipelines tooling and infrastructure. This role reports to the Manager Data Engineering.
This is a hybrid role and will require 3 days most weeks in Garners New York City office.
Responsibilities will include:
- Build and maintain high quality data systems that calculate Garners provider rankings
- Implement algorithms to improve the accuracy of our provider rankings data while lowering total associated costs and resource utilization
- Partner with engineers across Garner to define and implement coding standards common libraries and shared tooling
- Partner with Data Science Researchers and Product to convert ideas from research into reliable performant production systems
- Drive the technical strategy in the team to ensure we are building maintainable scalable resilient software
- Help the team grow by mentoring junior members and raising the engineering bar
Ideal candidate has:
- 10 years of experience with the 3 most recent years specifically in Data Engineering or distributed Software Engineering.
- Must have a Computer Science degree or equivalent experience demonstrating CS fundamentals.
- Mastery of Python as well as SQL for data extraction transformation and analysis.
- 3 years of experience working in the cloud (AWS preferred).
- 3 years of experience building ETL/ELT pipelines with tools like Apache Spark Apache Beam AWS Glue etc.
- 2 years managing pipeline workflows with tools such as Airflow Argo Prefect etc.
- 2 years of experience working with Apache Iceberg AWS Lake Formation Apache Hudi or equivalent.
- 2 years of experience leveraging analytical solutions such as Snowflake Redshift BigQuery or Trino for largescale data processing and analytics.
- 2 years of experience leading other Data Engineers on complex big data initiatives as the tech lead.
- Preferred experience working in an environment that required strict data privacy standards (e.g. GDPR HIPAA) and security best practices.
- Preferred experience with Kubernetes
- Preferred experience with Tableau Looker or other data visualization and reporting solutions.
- A willingness to roll up your sleeves and do whatever is necessary to ensure company success
- Experience working in a rapidly evolving startup environment
- A desire to be a part of our mission to improve the U.S. healthcare system
What we look for at Garner:
- Mission First: Our mission is to transform our healthcare system delivering high quality and affordable care to all. Everything else is secondary.
- Expect Extraordinary: Our mission is audacious so we will only succeed by producing exceptional results. We continually push ourselves and each other to new heights and beyond our comfort zones.
- Courageous Communication: Transparency and candor are imperative to realizing our potential as an organization and as individualseven when uncomfortable. Many companies talk about these values. We live them.
- Supportive community: We know that people do their best work and learn the most when they feel genuinely supported and cared for. Its also more fun that way.
The target salary range for this position is: $220000 $260000. 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. This position is also bonus eligible.
Required Experience:
Staff IC
Employment Type
Full-Time
