Remote Data Engineer III — Azure Data & Quality

Signature Performance; Kansas City (MO); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance (Fully Paid)

Disability Insurance (Short & LongTerm

Paid Vacation

Paid Sick Leave

Paid Holidays

Tuition Assistance

401(k) Match

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III to design and optimize data pipelines in a remote, nationwide setting. You will manage data processing and analytics, partnering with auditors and business teams to uphold data quality and reliability.

The role requires seven+ years in data engineering, strong SQL, and experience with Azure Data Factory, data marts, and data warehouses. This is a full-time position offering competitive compensation and benefits.

Qualifications

• Bachelor's or Associate degree required.
• 7+ years of Data Engineering experience or equivalent.
• Experience with Azure Data Factory is required.
• Strong SQL skills including complex queries and stored procedures.
• Familiarity with data marts/warehouses and data transformation.

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory.
• Configure, script, analyze, install, and administer ETL tools.
• Help establish data quality measures, cleansing, and governance with teams.
• Collaborate with other teams to integrate Enterprise DataMart/Data Warehouse solutions.
• Communicate with technical and business teams as well as auditors.

Skills

Analytical mindset

Problem solving

Team player

Self-starter

Multitasking

Communication

Data engineering

Education

Bachelor's or Associate degree

Tools

Azure Data Factory

SQL

SSIS

SSRS

SSAS

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III to design and optimize data pipelines in a remote, nationwide setting. You will manage data processing and analytics, partnering with auditors and business teams to uphold data quality and reliability.

The role requires seven+ years in data engineering, strong SQL, and experience with Azure Data Factory, data marts, and data warehouses. This is a full-time position offering competitive compensation and benefits.