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# Sr. Data Engineer

- **Company:** Albano Systems Inc
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cyber Security, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Data Visualization, Programming Tools, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Snowflake, Data Lakes, Information Technology, Data Analytics, Claude, Data Pipelines, Alteryx, Amazon Redshift, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/4b974736-eadb-43a4-b956-57492c50dac0/sr-data-engineer

## About the Role

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).

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8+ years of deep hands-on experience in data engineering, analytics, or data architecture.

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Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.

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Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.

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Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.

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Experience collaborating closely with data engineering, platform, and architecture teams to ensure long-term operability and support., Experience incorporating or experimenting with AI-enabled analytics or development tools (e.g., Claude, AI code assistants, agent-based analytics) in a secure enterprise environment.

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Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.

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Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive-ready, actionable insights.

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Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.

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Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non-technical audiences.