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Atropos Health

Data Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in USA
100K-130K Annually
Junior
Remote
Hiring Remotely in USA
100K-130K Annually
Junior
As a Data Engineer, you will clean, transform, and analyze healthcare data, maintain data pipelines, conduct data quality checks, and work collaboratively with teams.
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About Atropos Health

Atropos Health is the developer of GENEVA™ OS , the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with data-driven care, expediting research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant real-world evidence.

About the Role

As a Data Engineer at Atropos Health, you will turn healthcare data into information. You will clean, transform, and analyze large healthcare datasets and build tools that ensure data quality and consistency across our products. Working closely with commercial, medical, and data science teams,, you will translate requirements into working solutions and build and maintain data pipelines. Your work will help Atropos Health inform every clinical decision and research inquiry with personalized evidence.

Responsibilities
  • Create and maintain data pipelines to integrate, enrich, and map clinical data, claims, and other data from multiple sources

  • Conduct data quality checks and assessments on clinical datasets

  • Automate workflows in multiple public cloud environments

  • Use tooling such as Databricks, Bigquery, Redshift, and dbt alongside command line tools

  • Map data from one source into a common data model using SQL (required) and Python

  • Work remotely with an interdisciplinary team and maintain relationships with research, clinical, and commercial stakeholders

Minimum Qualifications
  • Bachelor’s degree (Required)

  • SQL (any dialect) at least 2 years (Required)

  • Data experience at least 2 years (Required)

  • Interest in applying generative AI technology to healthcare data (Required)

Reporting

The Data Engineer reports directly to the Senior Director of Data Engineering, Philip Ballentine. Data Engineering is part of the Engineering organization.

Location

We are a remote first company! All applicants must be legally authorized to work in the United States on a full-time basis and must not require, now or in the future, employer sponsorship. At this time, we are unable to hire in the following states and territories: Wyoming, North Dakota, Alaska, Hawaii, Puerto Rico, and the U.S. Virgin Islands.

Our Core Values
  • Bias to Action. We are driven by urgency and persistence, ensuring our actions contribute to the relentless pursuit of our mission.

  • Intellectual Honesty. We are committed to the integrity of our work, seeking truth, and building transparent methodologies that go beyond industry norms.

  • Compelled by Curiosity. We seek to solve the unknown, push boundaries, and do not accept the status quo.

  • Impactful Innovation. We pioneer solutions that pursue equity and representation that have a transformative impact for our customers, users, and patients.

  • Mindful Mentorship. We approach all interactions with an empathetic understanding, actively investing in the growth of each other and our customers.

Perks
  •  Health Benefits. Our benefit package includes employer paid Medical, Dental, Vision,  Life, STD, and LTD insurance. We also offer FSA.

  • Parental Leave. We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months.

  • Financial Wellness. Save for retirement through our 401k plan with Human Interest.

  • Flexible Work Environment. We're a remote first company with a flexible vacation policy.

  • Home Office Stipend. All full-time employees will receive a stipend to support their remote office setup.

  • Offsites. As a remote company we take time 2-3 times a year to get together in small teams and all together as a company.

At Atropos, we are committed to fostering a diverse, inclusive, and equitable workplace where every individual feels valued, respected, and empowered to contribute their unique perspectives and talents. We are an equal-opportunity employer that does not discriminate on the basis of race, religion, national origin, age, gender, gender identity or expression, sexual orientation, genetics, disability, pregnancy, veteran status, or any other legally protected status.

Atropos participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work

Top Skills

BigQuery
Databricks
Dbt
Python
Redshift
SQL

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