IT Data Engineer

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/.

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) 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)