Data Engineer, Cloud ETL & SQL Pipelines (Associate)

Martin's Point Health Care Inc.

United States

Remote

USD 87,000 - 107,000

Full time

3 days ago
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Job summary

Martin's Point Health Care is seeking an Associate Data Engineer to support SQL Server workloads, ETL pipelines, and cloud data processes in Azure and Databricks. You will join a mission-driven, not-for-profit team focused on data integrity and scalable data workflows.

You will work with senior engineers to migrate on-prem data activities to cloud-based architectures, develop SQL queries and SSIS components, and help maintain documentation and pipelines in a collaborative, learning-focused

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field; equivalent experience considered.
  • Experience with ETL tools, Azure services, or Databricks preferred.
  • Healthcare experience or familiarity with healthcare data concepts preferred.
  • Foundational SQL skills required.
  • Strong willingness to learn modern data engineering frameworks and techniques.

Responsibilities

  • Assists in developing SQL queries, stored procedures, and basic SSIS components.
  • Supports maintenance activities for the SQL Server on-prem environment.
  • Assists with migrating ETL jobs and SQL logic into cloud-based architectures.
  • Monitors data jobs, investigate failures, and escalates issues as needed.
  • Helps maintain documentation, diagrams, and pipeline inventories.
  • Learns and applies data engineering best practices.

Skills

Foundational SQL
Willingness to learn modern data eng.

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure services
Databricks
ETL tools

Job description

Martin's Point Health Care is seeking an Associate Data Engineer to support SQL Server workloads, ETL pipelines, and cloud data processes in Azure and Databricks. You will join a mission-driven, not-for-profit team focused on data integrity and scalable data workflows.

You will work with senior engineers to migrate on-prem data activities to cloud-based architectures, develop SQL queries and SSIS components, and help maintain documentation and pipelines in a collaborative, learning-focused

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