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Data Engineer
- Insight Global (Vancouver, WA)
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Job Description
A client in the Vancouver, Wa area is looking for a Data Engineer to join their team. This position will be full time/direct hire and will be 5 days on-site, therefore we are looking for someone who enjoys being onsite in a collaborative environment. As a Data Engineer, you will be working with the Data Team and be responsible for Data Engineering as well as Data Operations and maintaining what has been engineered. In this position the tools and technologies you will be working with include, but are not limited to: Python, SQL, ETL processes, APIs (not building but calling APIs), SQL development, working with integrations of 3rd party systems, and assisting on a project to build out a data lake to organize their data. In this role this team is doing data migrations from different systems, 3rd party integrations, building a data lake as data is currently coming from different sources and they want to streamline the process. If this sounds like a role of interest, please apply today! Thank you.
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 [email protected] 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/.
Skills and Requirements
2-3 years of professional experience with SQL Server development, 30% of your time will be spent in SQL
which includes: writing stored procedures, CTE, building indexes, running queries, and reading queries
3+ years of experience working with ETL; building tables
3+ years of experience with Python writing scripts
3-4+ years of experience with Excel and Power BI supporting the infrastructure for the data structure, not building reports, but supporting data that is performant and correct
Experience with APIs Experience with AI: Copilot, Claude code, etc.
Azure experience
Familiar with Star Schema or Snowflake Schema
NetSuite, HubSpot, Pento, Salesforce,3rd party integrations
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