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# Data Engineer

- **Company:** Broadtech Solutions LLC
- **Location:** Mundelein, IL, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Big Data, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Database Design, JSON, Python (Programming Language), Machine Learning, Scala (Programming Language), SQL Databases, Jupyter Notebook, Palantir Foundry, Apache Spark, Generative AI, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/d14120ee-c22f-47a6-8c6d-daac27095ed4/data-engineer

## About the Role

* 3-10 years of directly related experience and B.A./B.S. or M.A./M.S. in a related field.
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 * Experience building within Palantir Foundry applications, including Workshop, Ontology Manager, and Gaia.
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 * Experience with Machine Learning models and/or Generative AI.
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 * Experience with APIs.
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 * Previous experience with Advana or the War Data Platform.
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 * Experience with the DoW mission and associated datasets.
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 * Understanding of data modeling/visualization, database design principles, and data governance practices.
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 * Experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
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 * Proficiency in ETL processes and firsthand experience with technologies, such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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 * 3+ years of experience as a Data Engineer.
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 * Experience with Machine Learning models and/or Generative AI.
\n

 * Experience with APIs.
\n

 * Previous experience with Advana or the War Data Platform.
\n

 * Experience with the DoW mission and associated datasets.
\n

 * Understanding of data modeling/visualization, database design principles, and data governance practices.
\n

 * Experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
\n

 * Proficiency in ETL processes and firsthand experience with technologies, such as Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL.
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