Azure Data Engineer III - Data Quality & Warehousing

signatureperformancecareers; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

Fully Paid Life Insurance

Fully Paid Short- & Long-Term Disposal

Paid Vacation

Paid Sick Leave

Paid Holidays

Professional Development and Tuition 　

401(k) Program with Employer Match

Job summary

Signature Performance seeks a Data Engineer III to build, automate, and manage enterprise data processes in Azure Data Factory. You will configure ETL tools, enforce data quality, and collaborate across teams to support a data warehouse ecosystem.

You will also mentor junior engineers and contribute to SDLC and security practices. The role emphasizes hands-on data engineering, cross-functional teamwork, and delivering reliable data for federal healthcare-related clients, with a focus on

Qualifications

• Bachelor's or Associate degree plus seven years of Data Engineering experience.
• Experience with Azure Data Factory is required.
• Strong knowledge of Microsoft SQL Server tools (SSIS/SSRS/SSAS) and complex SQL development.

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, data cleansing, and governance with DBAs and Development teams.
• Collaborate with other teams to build data warehouse/enterprise data mart components.
• Communicate and coordinate with technical, business teams and auditors to ensure SDLC and security practices.
• Provide guidance to junior Data Engineers when needed.

Skills

Data Engineering

Azure Data Factory

SQL/SSIS/SSRS/SSAS

Data Warehouses/Data Marts

Analytical mindset

Problem-solving

Multitasking

Communication & collaboration

Self-starter

Education

Bachelor's or Associate degree

Tools

Power BI

Job description

Signature Performance seeks a Data Engineer III to build, automate, and manage enterprise data processes in Azure Data Factory. You will configure ETL tools, enforce data quality, and collaborate across teams to support a data warehouse ecosystem.

You will also mentor junior engineers and contribute to SDLC and security practices. The role emphasizes hands-on data engineering, cross-functional teamwork, and delivering reliable data for federal healthcare-related clients, with a focus on