Top Senior Data Engineer Jobs in Denver & Boulder, CO

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

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

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.

The Software Engineer will manage data collection for AI model training, enhance the ingestion pipeline on GCP, and collaborate with the AI team to improve dataset quality and efficiency.

The Principal Data Engineer will lead the design of data frameworks, mentor teams, implement MDM solutions, and ensure data quality across environments.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The Senior Data Engineer will build and maintain data platform infrastructure, ensuring data reliability across the business, drive architecture decisions, and enhance monitoring of data systems while partnering cross-functionally.

The Senior Data Engineer will design, build, and maintain scalable data pipelines, ensuring data quality and operational reliability while collaborating with cross-functional teams.

The Data Integration Engineer will design and implement data integration solutions for cloud platforms, ensuring data models support analytics and AI initiatives, while collaborating with various teams to maintain data governance and product standards.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The role involves optimizing, supporting, and deploying cloud-based SQL Server environments, troubleshooting performance issues, mentoring junior engineers, and ensuring compliance within healthcare data systems.

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

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

The Principal Data Platform Engineer leads the architecture and delivery of data platforms using Databricks, focusing on data pipeline design and client relationships.

Lead the design and implementation of production data pipelines for a sports tech lakehouse, ensuring reliability and supporting cross-product analytics and AI features.

The Lead Data Engineer will oversee the architecture and operationalization of the Finance reporting data platform, focusing on Databricks, SQL, and Power BI. Responsibilities include designing scalable data solutions, optimizing data workflows, developing reporting datasets, implementing data quality frameworks, and leading data engineering projects.

Responsible for designing, developing, and maintaining databases and ETL systems to support business applications and business intelligence. Collaborates with stakeholders to align business requirements and leads the design of automated solutions for operational efficiency.

The Senior Data Engineer will develop and optimize data pipelines, work with analytics and BI tools, and mentor junior engineers.

The Senior Azure Data Platform Engineer manages Azure SQL databases and Data Factory operations, ensuring stability and performance in a complex environment. The role involves troubleshooting, automating processes, and engaging with clients while leading data load ownership initiatives and enhancing operational practices.

The Senior Data Engineer leads the design and optimization of scalable data pipelines for AI-driven analytics while collaborating with cross-functional teams. Responsibilities include ensuring data integrity, automation, and compliance in cloud environments, particularly on Google Cloud Platform, to enhance decision-making processes.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Principal Data Engineer will manage the analytics data architecture, engage cross-functionally, and create reliable data systems using Snowflake and Python on AWS.