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# Senior Data Engineer

- **Company:** PRI Technology
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Information Engineering, Data Infrastructure, Data Warehousing, Relational Databases, Python (Programming Language), Machine Learning, Microsoft SQL Server, Oracle (Applications), Query Optimization, Azure Data Lake, SQL Databases, Cloud Platform System, Feature Engineering, Azure Data Factory, Data Lakes, Pyspark, Data Lineage, Data Management, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/d3927a0f-ec4a-42a5-a381-5a3fca9ffae3/senior-data-engineer

## About the Role

* 6+ years of progressive experience in data engineering with demonstrated ownership of complex, production-grade data platforms.
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 * Expert-level SQL (query optimization, indexing strategy, execution plans) and Python (PySpark, pipeline frameworks, testing).
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 * Deep hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage.
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 * Proven experience designing dimensional data models and data lake architecture at enterprise scale.
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 * Experience building data pipelines that directly support machine learning feature engineering and model serving.
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 * Strong background in data quality engineering-automated validation, SLA enforcement, and lineage tracking.
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 * Experience with relational databases (SQL Server, Oracle) and migration from legacy to cloud-native platforms.
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## Description

As a Senior Data Engineer you will own the design and delivery of complex data engineering solutions that power enterprise analytics, AI, and reporting capabilities. Reporting to the Lead Data Engineer, you will drive technical decisions, set engineering standards, and ensure the reliability and scalability of data platform across 49+ integrated enterprise source systems., This role demands deep technical mastery in SQL, Python, and Azure cloud data engineering, combined with a product orientation-understanding how the data assets you build translate into decisions, reports, and AI outputs for the business. You will mentor Data Engineers, contribute to architectural direction, and serve as a technical anchor for delivery across the Tetris team's sprint cycles.