Remote Data Engineer III — Azure ETL & Data Quality

Signature Performance; New York (NY); Remote; USD 125,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Paid Holidays

Tuition Assistance

401(k) Match

Job summary

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote role open nationwide in the United States. You will build, maintain, and optimize data processes within Azure data factory, and collaborate across teams to ensure data quality and governance.

The ideal candidate has a strong data engineering background, seven years of experience, and proficiency with SQL, SSIS/SSRS/SSAS, and data warehousing concepts, enabling effective data solutions for our healthcare clients.

Qualifications

• Bachelor's or Associate degree plus seven years in Data Engineering.
• Experience using Azure Data Factory is required.
• Strong SQL with complex queries, stored procedures and data modeling.

Responsibilities

• Build, maintain and automate data processes within Azure Data Factory.
• Perform configuration, scripting, analysis, and administration of ETL tools.
• Assist in establishing data quality measures and governance with DBAs and Dev teams.
• Collaborate with other teams to integrate Enterprise DataMart/ data warehouse solutions.
• Help define data policies and standards using data flow tools like Visio.
• Communicate effectively with technical and business teams and auditors.
• Support SDLC components and ensure security best practices.
• Set strategic goals and develop new data products and processes.

Skills

Azure Data Factory

SQL Server

Data Warehousing

ETL Development

Analytical mindset

Multitasking

Education

Bachelor's or Associate degree

Tools

SSIS/SSRS/SSAS

Job description

Signature Performance is seeking a ClaimsXM Data Engineer III for a remote role open nationwide in the United States. You will build, maintain, and optimize data processes within Azure data factory, and collaborate across teams to ensure data quality and governance.

The ideal candidate has a strong data engineering background, seven years of experience, and proficiency with SQL, SSIS/SSRS/SSAS, and data warehousing concepts, enabling effective data solutions for our healthcare clients.