Remote Data Engineer III – Azure ETL, Data Quality

Signature Performance; Little Rock (AR); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Fully Paid Life Insurance

Disability (Short & Long-Term)

Paid Vacation

Paid Holidays

Tuition Assistance

Professional Development

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III to lead data processing, modeling, and governance across enterprise data assets. The role emphasizes building reliable ETL processes, ensuring data quality, and collaborating with cross-functional teams in a remote setting.

You will manage, process, and analyze data within Azure Data Factory, SQL environments, and data warehouses, while guiding junior engineers and partnering with auditors and stakeholders.

Qualifications

• Bachelor's or Associate degree required or seven years of Data Engineering.
• Azure Data Factory experience required.
• Experience with SQL, SSIS/SSRS/SSAS, and complex SQL queries.
• Experience building/maintaining Data Marts and Data Warehouses.
• Strong communication and collaboration skills.
• Self-starter with ability to multitask 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.
• Help establish data quality measures, cleansing processes and governance with DBAs and Dev teams.
• Collaborate with data teams to build Enterprise DataMart/warehouse solutions.
• Document data policies, procedures and standards; communicate with technical and business teams.

Skills

Analytical mindset

Problem solving

Self-starter

Multi-tasking

Team player

Uncommon contributor

Education

Bachelor's or Associate degree

Tools

Azure Data Factory

SQL

SSIS

SSRS

SSAS

Power BI

Data Marts/Data Warehouses

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III to lead data processing, modeling, and governance across enterprise data assets. The role emphasizes building reliable ETL processes, ensuring data quality, and collaborating with cross-functional teams in a remote setting.

You will manage, process, and analyze data within Azure Data Factory, SQL environments, and data warehouses, while guiding junior engineers and partnering with auditors and stakeholders.