Remote Data Engineer III - Azure & Data Quality Expert

Signature Performance; Houston (TX); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

401(k) Program with Employer Match

Paid Vacation

Paid Holidays

Professional Development and Tuition

Paid Sick Leave

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III to drive data reliability and quality across enterprise systems. You will manage, process, and analyze large data assets, building robust ETL pipelines in Azure Data Factory and collaborating with auditors, business teams, and developers.

The role emphasizes strong SQL skills, data governance, and the ability to multi-task in a dynamic environment while delivering secure, scalable data solutions that support healthcare clients and

Qualifications

• Bachelor's or higher degree required with seven years in Data Engineering.
• Experience with Azure Data Factory and Microsoft data tools (SQL/SSIS/SSRS/SSAS).
• Strong SQL, complex queries, data modeling, and data warehousing experience.

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory.
• Perform configuration, scripting, analysis, and administration of ETL tools.
• Establish data quality measures and governance with DBAs and Dev teams.
• Collaborate across technical and business teams to deliver data solutions.
• Support SDLC processes and ensure data security best practices.

Skills

Data Engineering

Azure Data Factory

SQL

SSIS/SSRS/SSAS

Data Warehouses

Data Marts

Analytical mindset

Education

Bachelor's degree or higher

Seven years data engineering experience

Tools

Azure Data Factory

Power BI

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III to drive data reliability and quality across enterprise systems. You will manage, process, and analyze large data assets, building robust ETL pipelines in Azure Data Factory and collaborating with auditors, business teams, and developers.

The role emphasizes strong SQL skills, data governance, and the ability to multi-task in a dynamic environment while delivering secure, scalable data solutions that support healthcare clients and