Data Engineer, Operations Analytics

About the role

At Rowan Digital Infrastructure, we are transforming data center delivery for speed and scale. Our mission is to deliver best-in-class data center solutions to hyperscale customers who share our commitment to sustainability, and to do so with an unwavering focus on efficiency, quality, and flexibility. Our data center solutions are tailored to our customers’ needs and delivered by our exceptional end-to-end team. Rowan is assembling a strategic portfolio of data center sites in Tier 1 markets across the United States at various stages of development, and we’re looking for incredible and passionate people to help us advance our company and our commitment to building a more sustainable future.

Rowan is backed by Quinbrook, a leading investor in the energy transition, and Blackstone, the world’s largest alternative asset manager.

Ready to join us in transforming the future of data centers and sustainability? Apply now to explore exciting career opportunities at Rowan Digital Infrastructure and be a part of our mission to revolutionize data center delivery.

Role Summary

The Data Engineer, Operations Analytics builds the data platform, pipelines, data standards, and quality controls that make the team’s data reliable. Working alongside the Data Scientist, this role owns the data from the agreed handoff point through to curated, analysis-ready tables. The role reports to the Director, Operations Analytics.

This role partners closely with the Data Scientist, IT, vendor partners, Operations, and Compliance to make sure reliable data is in place before the first turnkey solution in mid-2027, which will add new data sources and users. As the team grows, it also gives the Reporting Lead and Business Analysts documented standards and curated tables to build on. As a second owner of the analytics workspace, the position reduces dependence on any one person, keeps the platform supportable through shared change control and documentation, and supports audit readiness. It also prepares and governs data for AI and language model use cases.

Travel: Ability to travel up to 25% for company gatherings or to project sites.

Location: Denver, Colorado (3-day hybrid in-office role)

Compensation: $108K - $125K (Offers Bonus)

Essential Responsibilities

- Build and evolve the team’s data platform on Azure and Databricks, including ingestion, storage, and curated layers

- Govern the workspace through Unity Catalog, including catalog and schema design, permissions, lineage, and data classification, so access is controlled and auditable as new users and data sources come online

- Own ingestion into Databricks from the agreed handoff point with vendor partners and IT, and review upstream building and facility data platform work

- Design, build, test, and monitor production pipelines for power, cooling, equipment, and monitoring data, and scale them as new data sources and users come online

- Define and maintain a reference data standard and data dictionary, including consistent naming for sites, assets, equipment, and vendors, documented so new team members can onboard quickly