Top Hybrid Data & Analytics Jobs in Provo, UT

The Data Engineer will enhance Ancestry's data systems by developing and supporting real-time data streaming solutions, validating the data platform, and implementing Infrastructure as Code practices.

Lead product analytics initiatives to optimize product adoption and revenue growth while serving as a trusted thought partner to senior leaders.

Support strategic pricing, packaging, and monetization initiatives through data analysis, financial modeling, and cross-functional collaboration to enhance revenue growth.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.

The Data Engineer is responsible for building ELT pipelines, migrating data to a new EDW, developing data observability processes, and collaborating with teams to ensure data requirements are met while improving data accessibility.