SCI Solutions Global LLC Jobs

Senior Data Engineer

SCI Solutions Global LLC

Senior Data Engineer

Posted 23 Hours Ago

Remote

Hiring Remotely in USA

27-27 Hourly

Senior level

Remote

Hiring Remotely in USA

27-27 Hourly

Senior level

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.

The summary above was generated by AI

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.

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