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Data Warehouse Engineer

  • Data Warehouse Engineer job type Posted on: Oct 11, 2026
  • Data Warehouse Engineer experience level BeaconFire Inc.
  • Data Warehouse Engineer employment type Denver Metropolitan Area, Colorado
  • Data Warehouse Engineer employment type Onsite
  • Data Warehouse Engineer salary Full-time

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Job Title :

Data Warehouse Engineer

Job Type :

Full-Time

Job Location :

Denver Metropolitan Area Colorado United States

Remote :

No

Jobcon Logo Job Description :

Qualifications: Passion for data and a deep desire to learn. Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline. Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc) Experience with relational databases (SQL Server, Oracle, MySQL, etc.) Strong written and verbal communication skills. Ability to work both independently and as part of a team. Responsibilities: Collaborate with the analytics team to find reliable data solutions to meet the business needs. Design and implement scalable ETL or ELT processes to support the business demand for data. Perform dataextraction, manipulation, and production from database tables. Buildutilities, user-defined functions, and frameworks to better enable data flow patterns. Build and incorporate automated unit tests, participate in integration testing efforts. Work with teams toresolve operational & performance issues. Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

10440_4474833130

Employment:

Full-time

City:

Denver Metropolitan Area

Job Origin:

APPCAST_CPC

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Qualifications: Passion for data and a deep desire to learn. Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline. Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc) Experience with relational databases (SQL Server, Oracle, MySQL, etc.) Strong written and verbal communication skills. Ability to work both independently and as part of a team. Responsibilities: Collaborate with the analytics team to find reliable data solutions to meet the business needs. Design and implement scalable ETL or ELT processes to support the business demand for data. Perform dataextraction, manipulation, and production from database tables. Buildutilities, user-defined functions, and frameworks to better enable data flow patterns. Build and incorporate automated unit tests, participate in integration testing efforts. Work with teams toresolve operational & performance issues. Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.

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