Top Senior Data Engineer Jobs in Denver & Boulder, CO

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.

Own operational support and optimization of enterprise data warehouse systems on AWS. Build and maintain scalable batch and streaming ETL/ELT pipelines, lead incident management and RCA, implement CI/CD and IaC, collaborate with cross-functional Agile teams, and provide shift-based on-call support while evaluating Generative AI integration opportunities.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

Lead design and delivery of enterprise data centralization and automation for reporting and BI. Build and maintain ETL/SSIS pipelines, data orchestration, file delivery and quality controls, follow SDLC/agile, mentor junior engineers, and partner with business stakeholders to capture requirements and ensure timely data delivery.

Design, implement, optimize, and maintain scalable, high-availability database solutions for a SaaS healthcare product. Integrate client data, resolve complex data issues, refactor systems for Azure, optimize MSSQL performance, participate in code reviews, and deliver features within Agile/Scrum to ensure reliable, high-performance data services.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

As a Senior Data Engineer, you will guide technical implementations for marketing operations and data science, collaborating with various stakeholders on strategy and infrastructure development.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.

The Senior Data Engineer will lead BI development, enhance Power BI architecture, mentor developers, and ensure efficient delivery governance for BI projects.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

Develop enterprise data platforms and data pipelines, integrate systems, manage CI/CD and IaC strategies, and coach junior engineers.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.

The Senior Data Engineer will design and maintain cloud data pipelines, ensuring data quality and security while collaborating with stakeholders using DBT and AWS.

The role involves guiding customers through cloud data warehousing transformations, providing technical leadership, and assisting in production planning and deployment in various data warehousing technologies.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

The Integration Engineer designs and implements data integration solutions, ensuring data quality and governance across diverse domains while building scalable streaming and batch data pipelines.

The Senior Data Engineer designs and maintains data pipelines, evaluates new technologies, mentors junior engineers, and ensures data system performance and reliability.

The Senior Data Engineer leads data management strategies, implements data ingestion, cleansing, transformations, and develops workflows to enhance data utility for the enterprise.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.