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

The Senior Analytics Engineer at Gusto will be responsible for defining and maintaining datasets crucial for data analysis, creating and managing data products, and collaborating with cross-functional teams to ensure high-quality data for informed decision-making. Key responsibilities include designing data warehouse schemas, constructing data pipelines, empowering users to explore data, leading QA initiatives, and optimizing data warehousing processes.

The Senior Data Integration Consultant interfaces with customers' functional teams to understand the data and automation needs required to achieve a connected reporting experience. The role is responsible for the design and delivery of the Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, and Data Prep.

Seeking a Director of Data Science to lead a team in analyzing customer behavior, optimizing marketing strategies, and driving business growth through applied analytics. Responsibilities include developing quantitative models, building automated reporting dashboards, and identifying impactful opportunities for marketing optimization. This role is highly strategic and involves partnering with senior executives to achieve business goals.

As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will work closely with AI Product Managers and engineers to troubleshoot and resolve data requests, develop a detailed understanding of the NOW platform, and ensure timely resolution of issues.

Design and develop data models in Snowflake with DBT for internal business partners, write advanced SQL queries for ELT/data warehousing/Business Intelligence, collaborate and lead projects, promote business data models for Self Service Reporting, perform ad-hoc queries/reports, ensure data governance, and work in a fast-paced team environment.

Looking for a Senior Data Engineer passionate about testing data and enhancing datasets and data products. Must have experience in SQL, Python, ETL/ELT pipelines, and data privacy. Collaborate with peers and optimize solutions for performance and scalability.

As a Manager in the SAP Human Capital practice, lead SAP SuccessFactors data migration implementations and develop integrations using the SAP Business Technology Platform. Utilize JAVA and Python for custom solutions and provide SAP SuccessFactors product specialization to clients for achieving business outcomes.