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Senior Data Engineer- 3242639

AMS Staffing Inc.

United States

Remote

USD 60,000 - 80,000

Part time

3 days ago
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Job summary

A leading company is seeking a Senior Data Engineer to design and build ETL pipelines with a focus on healthcare data. The role requires strong SQL and Snowflake expertise, along with the ability to manage complex datasets. This part-time position offers remote flexibility and a collaborative work environment.

Qualifications

  • 5+ years in data engineering with strong SQL and Snowflake experience.
  • Hands-on with healthcare data types and their unique structures.

Responsibilities

  • Build and optimize ETL workflows in Snowflake using SQL.
  • Translate business KPIs into efficient data structures.

Skills

SQL
Snowflake
Communication

Job description

Job Title: Senior Data Engineer

Location: Remote, USA

Salary/Payrate: $50-$60/hr 1099

Work Environment: Remote in USA

Term: Part-time contract – 6+ months, 20+ hrs a week

Bachelor’s degree required: No

Job Description

We’re hiring a Senior Data Engineer with deep experience in healthcare data and strong Snowflake expertise. You’ll be responsible for designing and building robust ETL pipelines, writing stored procedures, and translating complex analytical and technical requirements into scalable solutions.

Key Responsibilities
  • Build and optimize ETL workflows in Snowflake using SQL and procedural logic.
  • Work with healthcare datasets (claims, EHR, lab, patient, DiX) to develop data models and analytics-ready tables.
  • Translate business KPIs and analytical frameworks into efficient data structures.
  • Develop stored procedures and reusable components for data processing.
  • Collaborate on Tableau dashboard integration and backend data design.
Requirements
  • 5+ years in data engineering with strong SQL and Snowflake experience.
  • Hands-on with healthcare data types and their unique structures.
  • Proven experience building and managing complex ETL pipelines.
  • Skilled in writing stored procedures and handling large datasets.
  • Strong communication skills and ability to deliver against specifications independently.
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