Job Description

Job Description Insight Global is seeking a Data Engineer for a Fortune 10 retail pharmacy client contributing to a large cloud adoption. This is a remote contract position with the potential to convert. This candidate will support the build of data ingestion pipelines to build new warehouses in GCP BigQuery, working in an agile environment. The right candidates will have knowledge in SQL and Python, and database infrastructure who is eager to grow their skills. This is an exciting opportunity to join a growing organization! Compensation: $30/hr to $40/hr Exact compensation may vary based on several factors, including skills, experience, and education. 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. 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: Skills and Requirements - Strong python experience (scripting, creating lists, searching in lists,) - SQL experience (Tables, identifying unique values, joining, optimizations, etc.) - Experience extracting data from databases (snowflake, terradata, oracle, bigquery)

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Contract work,

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