Snowflake Data Engineer
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PLEASE READ FIRSTWork authorization: Must be able to work in the U.
S. without current or future sponsorship.
Location:
Remote, with the exception of 3 (consecutive) days per quarter required onsite in Parsippany, NJ: Travel and lodging for onsite visits are at the candidate's own expense, so candidates local to the Parsippany, NJ area are strongly preferred. The final interview round is also in person in Parsippany.
This is a long term (with potential full-time employment conversion) contract opportunity through DWS working for our end client.
JOB DESCRIPTION
About the role
Our client is hiring a Data Engineer to join their digital team on an ongoing project. You'll work on a mature Snowflake platform and own the design, development and performance of data solutions from requirements through production support.
What you'll do
Design and build data warehouse solutions in Snowflake across the full development lifecycle: planning, requirements, development, testing and QADevelop data pipelines and transformations in Python and SQLDiagnose and tune SQL queries to keep the platform fast, reliable and scalableBuild and maintain orchestrated workflows (Airflow, Informatica, Automic or similar)Troubleshoot incidents, find root causes, fix and document issues, and put preventive measures in placeWork with the engineering team to choose and implement the best technical solutionsMaintain metadata and data lineage, and hold a high standard for code quality and designManage your deliverables in a fast-paced environmentWhat you need10+ years designing and developing data solutions in enterprise environments4+ years hands-on with Snowflake, including data warehouse design and developmentExpert-level Python and SQL, including analytical/window functions and query tuningHands-on experience with orchestration tools (Airflow, Informatica, Automic or similar)Shell scripting and JavaScriptA working understanding of metadata management and data lineageExperience with Git, Confluence and Jira2+ years of professional experience in the U.
S.
Strong problem-solving and troubleshooting skills, and a collaborative, clear communicatorNice to haveAzure Data Factory or other Azure data services (equivalent experience on other clouds is welcome)Pharma, life sciences or omnichannel data experienceHands-on use of AI tools in your engineering work (e.g., Copilot, Cursor, Claude, ChatGPT)
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