Remote Data Engineer III - Azure DW & Data Quality

Signature Performance; Wichita (KS); 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 Holidays

Tuition Assistance Program

401(k) Program with Employer Match

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote-based role open nationwide in the United States. The candidate will build, automate, and optimize data pipelines in Azure Data Factory, ensuring data quality and governance across data marts and warehouses.

The ideal candidate has seven years of data engineering experience, strong SQL/ETL skills, and a proven ability to multi-task in a fast-paced environment, while collaborating with auditors and cross-functional teams.

Qualifications

• Bachelor's or Associate degree and seven years of Data Engineering experience
• Azure Data Factory experience required
• Microsoft SQL/SSIS/SSRS/SSAS knowledge
• Experience creating complex SQL databases, queries, stored procedures, and functions
• Experience with Data Marts and Data Warehouses
• Strong communication and collaboration skills
• Self-starter with ability to multi-task and work in fast-paced environments

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory
• Perform configuration, scripting, analysis, installation, and administration of ETL tools
• Establish data quality measures, data cleansing processes and governance
• Collaborate with DBA and Development teams for data governance
• Communicate and collaborate with technical and business teams and auditors
• Support SDLC and security best practices
• Provide guidance to junior Data Engineers

Skills

Data engineering

Analytical mindset

Problem solving

Self-starter

Multi-tasking

Education

Bachelor's or Associate degree

Tools

Azure Data Factory

SQL

SSIS

SSRS

SSAS

Power BI

Visio

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote-based role open nationwide in the United States. The candidate will build, automate, and optimize data pipelines in Azure Data Factory, ensuring data quality and governance across data marts and warehouses.

The ideal candidate has seven years of data engineering experience, strong SQL/ETL skills, and a proven ability to multi-task in a fast-paced environment, while collaborating with auditors and cross-functional teams.