Hybrid Data Engineer: Cloud Platforms & AI Analytics

G2M Insights; Denver (CO); Hybrid; USD 95,000 - 130,000; Full time

Job summary

G2M Insights is a Denver-based data engineering-focused consultancy building scalable data platforms for enterprise clients. The Data Engineer role involves designing, developing, and maintaining ETL/ELT pipelines and analytical data models to enable advanced analytics and AI solutions.

You will collaborate with consultants and software engineers to translate business requirements into resilient data solutions, working in a hybrid setting with in-office days in Denver.

Qualifications

• 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

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

Skills

Python

SQL

Data modeling

Analytical thinking

Communication

Cloud platforms

Education

Bachelor's or Master's in CS/Data Engineering/Software Engineering/IS/Math

Tools

Snowflake

Databricks

Microsoft Fabric

Azure Data Factory

Apache Spark

dbt

Airflow

Git

Docker

Kubernetes

REST APIs

Power BI

Job description

G2M Insights is a Denver-based data engineering-focused consultancy building scalable data platforms for enterprise clients. The Data Engineer role involves designing, developing, and maintaining ETL/ELT pipelines and analytical data models to enable advanced analytics and AI solutions.

You will collaborate with consultants and software engineers to translate business requirements into resilient data solutions, working in a hybrid setting with in-office days in Denver.