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Data Engineer - Digital Healthcare

Discover International
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$110,000 - $160,000
Skills:
PYTHONSQLAPACHE SPARKDATABRICKSAZUREAPACHE AIRFLOWETLDATA PIPELINESBIG DATADATA ENGINEERING
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Job Description

Posted on: March 7, 2026

Discover International are partnered with a digital health leader that are revolutionizing cardiometabolic care.

They've built a digital health platform that provides AI-powered digital coaching across pre-diabetes, weight and obesity management.

They're focused on transforming healthcare.

This is a critical hire for our client. You will design, implement and maintain highly scalable big data pipelines. You'll work closely with Engineering & Product teams.

Required Skills & Experience

  • Experience in data engineering (additional education beyond the minimum requirement considered as commensurate experience).
  • Ability to work independently and collaboratively as part of a high-power team
  • Experience modeling, recommendations/personalization, working with big data using tools such as Apache Spark, Databricks, and Azure cloud computing strongly preferred
  • Python and SQL programming experience is required
  • Experience with tools such as Microsoft BI, R, Tableau preferred
  • Excellent analytical and problem-solving skills
  • Excellent verbal and written communication skills

Responsibilities

  • Develop automated pipelines, streaming and batched, for a variety of data types and datasets.
  • Design and implement the data architectures to support the data pipelines.
  • Develop and maintain ETL processes and data pipelines using languages and tools like Databricks, SQL, Python, Apache Airflow, Apache Spark or other data integration platforms, as well as Powershell scripting.
  • Document data engineering processes, workflows, and data lineage to facilitate collaboration and knowledge sharing.
  • Work closely with data scientists, analysts, and other external stakeholders to understand their data requirements and ensure data availability
  • Build and maintain custom data pipelines to support ad-hoc data requests from internal and external stakeholders
  • Ingest and integrate data from various sources into Databricks, which may include databases, streaming data, data lakes, and external APIs.

To apply please contact Sam Shinner at Discover International

Originally posted on LinkedIn

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