Data Engineer
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- Experience with Snowflake
- Experience with Databricks
- Experience with Microsoft Fabric
- Experience with Azure Data Factory
- Experience with Apache Spark
- Experience with dbt
- Experience with Airflow
- Experience with Git and CI/CD
- Experience with Docker or Kubernetes
- Experience with REST APIs
- Experience with Power BI
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
