Remote Data Engineer III: Azure & Data Quality

Signature Performance; Oklahoma City (OK); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Fully Paid Life Insurance

Fully Paid Short & Long-Term Disable

Paid Vacation

Paid Sick Leave

Paid Holidays

Professional Development and Tuition

401(k) Program with Employer Match

Job summary

Signature Performance, a remote-based company, is seeking a ClaimsXM Data Engineer III to build and automate data processes in Azure Data Factory and to drive data quality and governance across enterprise data assets.

The role requires seven years of data engineering experience, strong SQL, and experience with data marts/warehouses. You will collaborate with cross-functional teams, support SDLC, and mentor junior engineers in a fast-paced environment.

Qualifications

• Bachelor's or Associate degree required with significant data engineering experience.
• Experience with Azure Data Factory and ETL tooling required.
• Strong SQL skills including complex queries, stored procedures, and data transformation.
• Experience with data marts and data warehouses; ability to model and optimize data flows.

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory.
• Perform configuration, scripting, analysis, installation, and administration of ETL tools.
• Assist in establishing data quality measures and governance in coordination with DBAs and developers.
• Collaborate with enterprise teams to integrate data across the Data Mart/warehouse solution.
• Document data policies and standards; communicate with auditors and business stakeholders.
• Provide guidance to junior Data Engineers as needed.

Skills

Data engineering

Azure Data Factory

SQL

ETL tools

Data modeling

Team collaboration

Problem solving

Multi-tasking

Education

Bachelor's degree

Associate degree

Tools

SSIS

SSRS

SSAS

Visio

Power BI

Job description

Signature Performance, a remote-based company, is seeking a ClaimsXM Data Engineer III to build and automate data processes in Azure Data Factory and to drive data quality and governance across enterprise data assets.

The role requires seven years of data engineering experience, strong SQL, and experience with data marts/warehouses. You will collaborate with cross-functional teams, support SDLC, and mentor junior engineers in a fast-paced environment.