Remote Data Engineer III - Azure ETL & Data Quality

Signature Performance; Des Moines (IA); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

401(k) Match

Paid Vacation

Paid Holidays

Tuition Assistance

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote role open to applicants nationwide. You will build, maintain, and automate data processes within Azure Data Factory, and collaborate with auditors and business teams to ensure data quality.

The position requires seven years of data engineering experience, Azure Data Factory expertise, and strong SQL/SSIS/SSAS skills. You will guide junior engineers and help enforce data governance across enterprise data warehouses.

Qualifications

• Bachelor's or Associate degree in a related field; seven years of data engineering experience if no degree.
• Experience working with Azure Data Factory is required.
• Strong SQL skills including stored procedures and complex queries.
• Experience with Data Marts/Data Warehouses and data transformation.
• Excellent communication and collaboration in a team setting.

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory.
• Perform configuration, scripting, analysis, installation, and admin of ETL tools.
• Help establish data quality measures, cleansing, and governance with DBAs and dev teams.
• Collaborate with multiple teams to integrate data within Enterprise Data Warehouse.
• Enforce data policies and standards using data flow tools; communicate with auditors.
• Support SDLC and ensure security best practices are followed.
• Provide guidance to junior Data Engineers when needed.

Skills

Azure Data Factory

SQL

SSIS/SSRS/SSAS

Data modeling

Team collaboration

Analytical mindset

Education

Bachelor's or Associate degree

Tools

Power BI

Visio

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote role open to applicants nationwide. You will build, maintain, and automate data processes within Azure Data Factory, and collaborate with auditors and business teams to ensure data quality.

The position requires seven years of data engineering experience, Azure Data Factory expertise, and strong SQL/SSIS/SSAS skills. You will guide junior engineers and help enforce data governance across enterprise data warehouses.