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Tri-State Generation and Transmission Association Logo

IT Data Analytics Engineer

Tri-State Generation and Transmission Association

$77,000 - $135,000
Aug 26, 2025
Westminster, CO, USA
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Elevate and enable Tri-State's strategic data and analytic goals with a constant eye toward long-term sustainable practices

Requirements

  • 5+ years’ worth of experience working with Python, including familiarity with OOP and tools such as Pandas, PySpark, Dash, Sklearn, Sci-Py, FastAPI, etc
  • Advanced SQL abilities including complex query building, window functions, and query performance tuning
  • Experience with BI tools such as Power BI, Tableau, or Dash
  • Experience with Master Data Management (MDM)
  • Knowledge of modern statistics implementation and algorithms including things like XGBM, Causal Systems, Latent Dimensional Management, etc
  • Thorough knowledge of IT, Data, and Analytical concepts, strategies, and methodologies
  • Experience in working on products that are software as a service (SAAS)

Responsibilities

  • Help design and implement the organization’s data warehousing strategy to support scalable analytics and long-term data needs, including data from multiple applications and diverse data sources to enable effective data solutions
  • Develop and maintain ETL/ELT pipelines for seamless integration of third-party applications and internal data sources
  • Help create organizational gold standard reporting solutions to meet business needs
  • Develop and design various dev ops solutions to enable consistent and automated team operations
  • Support ad-hoc data needs for a wide range of various business requirements
  • Design systems with an eye towards the future to support MLOps and demonstrate knowledge of advanced analytics including modeling needs and practices
  • Troubleshoot data integration issues and bugs, analyze reasons for failure, implement optimal solutions, and revise procedures as needed

Other

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or similar degree
  • 8+ years of professional data experience
  • Ability to clearly explain technical and analytical information (verbally, written & in presentation format)
  • Ability to provide total analytic support which includes data extraction, cleaning, manipulation, modern statistics, visualization, and presentation
  • Ability to work overtime at any time of the day or week