Job Description
We’re looking for an early-career Data Engineer to support the development and maintenance of data pipelines that drive reporting and analytics. This role will work closely with both technical teams and business stakeholders to ensure data is accurate, accessible, and reliable.
You’ll be working primarily in SQL Server and Azure, helping with data integration, ETL processes, and data modeling efforts. This is a hands-on role with strong growth potential for someone looking to build their skills in cloud data engineering.
Build and maintain data pipelines in SQL Server and Azure
Develop and optimize ETL/ELT processes
Support data modeling and warehouse design (star schema)
Write and optimize SQL queries and stored procedures
Work with APIs to ingest and process data
Partner cross-functionally to deliver clean, usable datasets
Monitor pipelines and troubleshoot data quality/performance issues
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
1–3 years of experience in data engineering, data analytics, or similar
Strong SQL skills and experience with relational databases (SQL Server preferred)
Hands-on ETL/ELT experience
Cloud experience (Azure preferred)
Experience with data modeling concepts (star schema)
API/integration experience (REST, JSON, XML)
Python experience (strongly preferred / close to required)
Nice to Have Skills & Experience
Azure Data Factory experience
Exposure to supply chain or operations environments
Experience with SSIS, SSRS, or Power BI
Familiarity with version control (Git)
Bachelor’s degree in a related field (or equivalent experience)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.