Junior Data Engineer

Insight Global is seeking a Junior Data Engineer to join a team within a Fortune 100 Healthcare Organization. This individual will join a large Analytics Vertical, and will be responsible for delivering on their 2025 Roadmap which includes the development of data pipelines to support an advanced analytics platform for business partners. On a day to day basis, candidate will be responsible for building data pipelines with data warehousing solutions, specifically within a Google Cloud Environment. Candidates should have minimum of 3 years of experience building data pipelines utilizing Python and SQL, as well as strong experience working within a cloud environment (GCP preferred).

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 .

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Required Skills & Experience
- 3+ years of experience writing SQL within database systems like BigQuery and Teradata
- 3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)
- 3+ years of experience with Python or other comparable scripting language in a data engineering setting
- 3+ years of experience with data orchestration, and pipeline engineering services such as Airflow, Spark, preferably Composer / DataProc
- 3+ years of experience deploying to, and managing CI/CD within, cloud database platforms.
- 3+ years of experience with ETL/ELT and building high-volume data pipelines.
- 3+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management.

Benefit packages for this role will start on the 31st 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.