Senior Data Engineer

SCI SOLUTIONS GLOBAL; United States; Remote; USD 31,000 - 44,000; Full time

Job summary

SCI Solutions Global is seeking a Senior Data Engineer to design and implement enterprise data warehousing solutions and robust ETL pipelines. Experience with HL7 and FHIR in healthcare data integration is essential.

Proficiency with Azure data services and Databricks will drive data processing across structured and unstructured data. The role emphasizes hands-on development, data modeling, and adherence to governance standards, with a focus on scalable data architectures for healthcare

Qualifications

• 8+ years of experience in Data Engineering with a focus on data warehousing.
• 5+ years with Azure Data Factory and Databricks.
• 5+ years ETL experience with Informatica PowerCenter, SSIS or ADF.
• 5+ years Oracle, Snowflake or SQL Server experience.
• 5+ years developing stored procedures: PL/SQL, T-SQL, or Snowflake SQL.
• 3+ years Python programming.
• 3+ years Azure DevOps, GitHub, or SVN.
• 2+ years working with structured and unstructured data.
• Hands-on experience processing HL7 and FHIR files.
• 3+ years preparing ETL specifications from business and technical requirements.
• 3+ years batch scripting or PowerShell.
• 3+ years data warehouse modeling.
• Bachelor's degree in CS/IT/Engineering or related field.

Skills

Data warehousing

Azure Data Factory

Databricks

ETL

Python

HL7 / FHIR

SQL

Batch scripting

Azure DevOps

Data modeling

Education

Bachelor's degree in CS/IT/Engineering

Tools

Informatica PowerCenter

SSIS

Azure Data Factory

Snowflake

Oracle

T-SQL

PL/SQL

Azure

GitHub

SVN

Job description

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.