Top Senior Level Data Engineer Jobs in Denver & Boulder, CO

Design and develop data models in Snowflake with DBT for internal business partners, write advanced SQL queries, collaborate on data transformation and analytics documentation, promote business data models, and follow best practices in data governance and security.

The Senior Machine Learning Platform Engineer at Block will focus on building self-service tooling for the model lifecycle, collaborating with internal teams, and leading architectural discussions to ensure a modular and scalable platform. The role requires 8+ years of combined experience in software engineering and machine learning engineering.

Seeking a Staff Data Engineer to build the next generation of data pipelines and applications using emerging technologies like generative AI and large language models. Responsibilities include designing, building, and scaling data pipelines, collaborating with internal stakeholders and technologists, and supporting APIs and machine learning services.

Contribute to modelling and simulation tools for RF Mission architectures in space, air, and ground domains. Develop new tools and algorithms for mission systems modeling and data analysis. Collaborate with cross-functional teams to provide technical solutions and support new business initiatives.

The Data Engineer III contributes to the credit union by participating in the design, development, and maintenance of efficient and resourceful data marts, data pipeline processes, and other database related solutions. The Data Engineer III also assists as a technical lead in review and mentoring of other Data Engineers.

We’re looking for a Principal level Data Engineer in JumpCloud’s Business Data Engineering team to provide technical leadership and strategic direction that supports JumpCloud’s growth strategy.

The Senior Data Modeler is responsible for designing, implementing, and maintaining data models across Snowflake, Azure or AWS environments. They collaborate with stakeholders to translate business requirements into effective data models, optimize database performance, and ensure compliance with data governance standards. The ideal candidate possesses strong analytical skills, proficiency in data modeling tools, and expertise in Snowflake, Azure or AWS database management systems.