Top Remote Senior Level Data Engineer Jobs in Denver & Boulder, CO
Design, build, and launch credit products and features for Cash App's Underwriting & Credit organization. Collaborate with cross-functional teams and work on impactful projects. Mentor fellow engineers and contribute to development capabilities.
As a Sr. Machine Learning Engineer, you will be central to the continued development of our ML strategy while owning and designing scalable MLOps solutions to enable that strategy.
Lead the SAP Data Migration and integration efforts at NBCUniversal, focusing on SAP MDG and BODS. Responsibilities include gathering requirements, designing and building SAP MDG and Data Services solutions, ensuring master data consistency, and collaborating with offshore teams for successful project delivery.
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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.
As a Staff Data Engineer at Square Banking, you will design large-scale data processing systems, build core datasets, address data quality issues, and collaborate with cross-functional teams to accelerate decision-making processes. This role involves working with real-time Big Data technologies and promoting software engineering best practices in a financial data context.
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.
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.
As a Senior Data Engineer (AI) at Red Canary, you will develop and implement AI/ML models to strengthen cybersecurity defenses, optimize data processing pipelines, collaborate with cross-functional teams, and lead innovative projects within the Data Science team.
Lead the implementation of Oracle Master Data Management solutions across multiple sectors and functional areas.
Collect detailed requirements and direct development of enterprise data-management and business-intelligence solutions for clients. Lead development in multiple technology platforms (Snowflake, Microsoft Azure, Power BI, Qlik). Create solutions supporting delivery of analytic products through dashboards, web applications, and data products.
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