Top Data Engineer Jobs in Denver & Boulder, CO

As a Data Engineer, you'll design data models, build data pipelines, implement AI capabilities, and ensure data quality for analytics. You'll collaborate with stakeholders to deliver robust datasets and support cross-functional strategies using advanced data tools.

The Data Engineer will develop and maintain data pipelines and frameworks, leveraging AI tools, while ensuring compliance and operational excellence across data platforms.

The Data Engineer I will build and maintain ETL processes, manage data pipelines, and collaborate with team members on data solutions using AWS, SQL, and Python.

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

This Data Engineer role involves designing software solutions focused on ETL, data management, optimizing SQL queries, and ensuring data quality and accessibility.

Lead Data Engineer maintains and optimizes enterprise data architectures while ensuring data quality and operational reliability using AWS services and developing sophisticated ETL processes.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The Senior Data Engineer develops and maintains data pipelines, evaluates business requirements, integrates data, ensures quality, and collaborates with teams to fulfill data infrastructure needs.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

The Data Engineer develops and maintains data pipelines, collaborates with teams to optimize data architecture, and ensures data quality and accessibility.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Azure AI Data Engineer will develop and support data solutions in Azure, automate data pipelines, and enhance services using AI. Responsibilities include troubleshooting data issues, collaborating with stakeholders, and maintaining documentation.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Data Engineer will build and maintain data pipelines, optimize queries, collaborate with teams, and ensure data quality across Google Cloud systems.

As a Data Engineer, you will design and maintain data infrastructure, build ingestion pipelines, and collaborate with ML and product teams for data-driven features.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.