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Data Engineer

G2M Insights
Posted 13 days ago, valid for 22 days
Location

Comanche Creek, CO, US

Salary

$70,000 - $100,000 per year

Contract type

Full Time

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Sonic Summary

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  • G2M Insights is seeking a Data Engineer for a full-time hybrid position based in Denver, Colorado, offering flexibility for remote work.
  • Candidates should have a Bachelor's or Master's degree in a relevant technical discipline and at least 2-5 years of experience, depending on the level of the position.
  • The role involves designing and maintaining scalable data platforms, developing ETL/ELT pipelines, and collaborating with various teams to support analytics and AI initiatives.
  • Strong programming skills in Python and SQL are required, along with familiarity with cloud platforms like Azure, AWS, or Google Cloud.
  • The salary range for this position is competitive and commensurate with experience, reflecting the importance of building decision intelligence platforms for enterprise clients.

Company Description

G2M Insights is a business and technology consulting firm focused on helping enterprise clients accelerate growth through better decisions. We combine strategy, analytics, artificial intelligence, and software engineering to build trusted decision intelligence platforms that improve go-to-market performance, operational efficiency, and financial outcomes.


Our data engineering team designs and builds modern cloud data platforms that power advanced analytics, machine learning, and AI applications for enterprise clients.


For more information, visit www.g2m.ai.


Role Description

This is a full-time hybrid position based in Denver, Colorado, with flexibility to work from home several days per week.


As a Data Engineer, you will design, develop, and maintain scalable data platforms that enable advanced analytics and AI solutions for enterprise clients. Depending on your education and experience, candidates will be hired as either Data Engineer I or Data Engineer II.


You will work closely with consultants, software engineers, and client teams to ingest, transform, and model large datasets while ensuring quality, reliability, and performance.


Responsibilities include:

  • Developing ETL/ELT pipelines
  • Building scalable cloud data platforms
  • Designing dimensional and semantic data models
  • Integrating data from enterprise systems and APIs
  • Optimizing data performance and reliability
  • Supporting AI and machine learning initiatives
  • Collaborating with consultants to translate business requirements into technical solutions


Qualifications

Required

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, or a related technical discipline
  • Strong programming skills in Python
  • Strong SQL skills
  • Understanding of relational databases and data modeling
  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud
  • Excellent analytical and problem-solving abilities
  • Strong communication skills and the ability to work directly with both technical and business stakeholders


Preferred

Experience with one or more of the following:

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Azure Data Factory
  • Apache Spark
  • dbt
  • Airflow
  • Git and CI/CD
  • Docker or Kubernetes
  • REST APIs
  • Power BI


Why Join G2M?

At G2M, data engineers don't simply move data—they build modern decision intelligence platforms that executives use to make critical business decisions. You'll work across cloud engineering, analytics, AI, and consulting while gaining exposure to enterprise-scale architectures and emerging AI technologies.


NOTE: We are sourcing candidates from the greater Denver area. Remote candidates will not be considered.


G2M Insights is an equal opportunity employer and values diversity in the workplace. We encourage applicants of all backgrounds and experiences to apply.




Learn more about this Employer on their Career Site

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By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

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