Senior Data Engineer

Posted 7 Hours Ago
Hiring Remotely in USA
Remote
27-27 Hourly
Senior level
Information Technology • Software • Consulting
The Role
Develop enterprise data warehouse solutions and ETL pipelines using Azure Data Factory, Databricks, Snowflake, and related technologies. Process structured and unstructured healthcare data, including HL7 and FHIR files. Build stored procedures, perform data warehouse modeling, prepare ETL specifications, and use Python, source control, and scripting tools to support data integration and engineering initiatives.
Summary Generated by Built In

This is a remote position.


Senior Data Engineer 
Location: Eden Prairie, MN (100% Remote)
Employment Type: W2 Contract
Interview Process: Video Interview
Max Rate:$27/hr W2
Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise data warehousing, Azure Data Factory, Databricks, Snowflake, and healthcare data integration. The ideal candidate will have extensive hands-on experience developing ETL pipelines, designing data warehouse solutions, processing structured and unstructured data, and working with healthcare interoperability standards such as HL7 and FHIR.

Required Qualifications
  • 8+ years of experience in Data Engineering, with a strong focus on data warehousing.

  • 5+ years of hands-on experience with Azure Data Factory (ADF) and Databricks.

  • 5+ years of ETL experience using Informatica PowerCenter, SSIS, or Azure Data Factory.

  • 5+ years of experience with Oracle, Snowflake, or SQL Server.

  • 5+ years of experience developing stored procedures using PL/SQL, T-SQL, or Snowflake SQL.

  • 3+ years of Python programming experience.

  • 3+ years of experience with Azure DevOps, GitHub, or SVN.

  • 2+ years of experience working with structured and unstructured data.

  • Hands-on experience processing HL7 and FHIR files.

  • 3+ years of experience preparing ETL specifications based on business and technical requirements.

  • 3+ years of experience with batch scripting or PowerShell.

  • 3+ years of experience in data warehouse modeling.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.



Skills Required

  • 8+ years of data engineering experience focused on data warehousing
  • 5+ years of hands-on Azure Data Factory and Databricks experience
  • 5+ years of ETL experience using Informatica PowerCenter, SSIS, or Azure Data Factory
  • 5+ years of experience with Oracle, Snowflake, or SQL Server
  • 5+ years of experience developing stored procedures using PL/SQL, T-SQL, or Snowflake SQL
  • 3+ years of Python programming experience
  • 3+ years of experience with Azure DevOps, GitHub, or SVN
  • 2+ years of experience working with structured and unstructured data
  • Hands-on experience processing HL7 and FHIR files
  • 3+ years of experience preparing ETL specifications from business and technical requirements
  • 3+ years of experience with batch scripting or PowerShell
  • 3+ years of experience in data warehouse modeling
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
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The Company
8 Employees

What We Do

SCI Solutions Global LLC is a U.S.-based technology consulting and talent-solutions company. It provides digital-transformation services, IT project-delivery support, skilled technology professionals, and scalable software solutions to businesses ranging from startups to large enterprises. The company helps clients address technology challenges, build high-performing teams, and improve business outcomes through tailored consulting, staffing, systems, and software expertise across multiple industries and technology disciplines.

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