Pay
Lower than most similar jobs
$108K–$125K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Denver, CO Office · Seattle, WA Office · Denver, Colorado, United States
Actively hiring, first seen by us todayLocation: Denver, Colorado (3-day hybrid in-office role) Compensation: $108K - $125K (Offers Bonus) Essential ResponsibilitiesRead the full posting
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)
Location type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: ECO › Facilities OperationsFrom the employer’s posting
Will you now or in the future require sponsorship for employment visa status in the United States?From the employer’s application form
The Data Engineer, Operations Analytics builds the data platform, pipelines, data standards, and quality controls that make the team’s data reliable.
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.
Build and run production pipelines for power, cooling, equipment, and monitoring data
Govern the Databricks workspace with Unity Catalog, permissions, and lineage
Publish curated tables for models, Tableau scorecards, and KPIs
Build data quality checks, monitoring, alerts, and runbooks
Define and maintain a reference data standard and data dictionary
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.
Design, build, test, and monitor production pipelines for power, cooling, equipment, and monitoring data
Govern the workspace through Unity Catalog, including catalog and schema design, permissions, lineage, and data classification
Publish and maintain curated tables that serve models, Tableau scorecards, and KPIs
Build data quality checks, monitoring, alerts, and runbooks so issues are detected and resolved quickly
Define and maintain a reference data standard and data dictionary
Education, Skills, and Experience - Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience - 3+ years of experience in data engineering, analytics engineering, or a related data platform role
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$108K–$125K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 3+ years of experience in data engineering, analytics engineering, or a related data platform role - Hands-on experience building data platforms and operating production pipelines in Databricks using SQL, Python, and Spark - Experience with Azure data and cloud services, including storage, networking, and identity concepts
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
- Hands-on experience building data platforms and operating production pipelines in Databricks using SQL, Python, and Spark - Experience with Azure data and cloud services, including storage, networking, and identity concepts - Experience using AI-assisted development tools such as Claude Code to build, review, and document code
- 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
- Prepare and maintain data for AI and language model use cases, such as document and text ingestion, vector search indexes, and retrieval pipelines, held to the same quality and change control standards as other production data - Serve as second owner of the Databricks workspace and co-own change control with the Data Scientist, including code review and separate development and production environments - Partner with the Data Scientist, Operations, Reliability, Engineering, and IT teams, and with the Reporting Lead and Business Analysts as they join, to align data structures with modeling, reporting, and operational needs
- Experience building data pipelines for AI and LLM applications, such as document parsing and chunking, embedding generation, vector search indexes, and retrieval evaluation - Preferred familiarity with Databricks, AI/BI Genie, Vector Search, Model Serving, Tableau, and Airtable - Preferred experience with data center, industrial, or building systems data
- Build data quality checks, monitoring, alerts, and runbooks so issues are detected and resolved quickly - Publish and maintain curated tables that serve models, Tableau scorecards, and KPIs so every report and model draws on the same trusted data - Partner with the Data Scientist to build and maintain Genie spaces and LLM-powered tools, including the curated tables, metadata, table and column descriptions, and certified queries they depend on
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Build data quality checks, monitoring, alerts, and runbooks so issues are detected and resolved quickly
Publish and maintain curated tables that serve models, Tableau scorecards, and KPIs so every report and model draws on the same trusted data
Partner with the Data Scientist to build and maintain Genie spaces and LLM-powered tools, including the curated tables, metadata, table and column descriptions, and certified queries they depend on
Prepare and maintain data for AI and language model use cases, such as document and text ingestion, vector search indexes, and retrieval pipelines, held to the same quality and change control standards as other production data
Serve as second owner of the Databricks workspace and co-own change control with the Data Scientist, including code review and separate development and production environments
Partner with the Data Scientist, Operations, Reliability, Engineering, and IT teams, and with the Reporting Lead and Business Analysts as they join, to align data structures with modeling, reporting, and operational needs
Create repeatable exports of platform evidence, such as access and activity logs, to support audits and the Compliance Analyst
Education, Skills, and Experience
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
3+ years of experience in data engineering, analytics engineering, or a related data platform role
Hands-on experience building data platforms and operating production pipelines in Databricks using SQL, Python, and Spark
Experience with Azure data and cloud services, including storage, networking, and identity concepts
Experience using AI-assisted development tools such as Claude Code to build, review, and document code
Experience with data modeling, data quality monitoring, and change control practices such as code review and separate development and production environments
Experience with complex operational datasets, including time-series or telemetry data
Ability to document standards clearly and communicate with technical and non-technical stakeholders
Experience building data pipelines for AI and LLM applications, such as document parsing and chunking, embedding generation, vector search indexes, and retrieval evaluation
Preferred familiarity with Databricks, AI/BI Genie, Vector Search, Model Serving, Tableau, and Airtable
Preferred experience with data center, industrial, or building systems data
Fueled by Excellence & Collaboration
At Rowan, we are a distributed team united by a common mission to transform data center delivery. Across our two offices, we offer a hybrid work environment supported by teamwork, technology, and in-office gathering time to help you be successful. We are headquartered in downtown Denver, Colorado and have an office in Seattle, Washington. Our team of talented and passionate individuals is spread out across the U.S.
Here to support you
At Rowan, we want to make sure you can do great work. We offer competitive benefits focused on helping you be and achieve your best.
Hybrid working environment
Team building and educational opportunities
Generous benefits package including robust health benefits and a 401(k)-company contribution
Unlimited PTO
RTD ECO pass or parking reimbursement
Competitive compensation, bonus, and an incentive plan
Relocating for this role? We offer relocation assistance on a case-by-case basis to help make your transition smooth
Equal Opportunity Employer
Rowan Digital is an equal opportunity employer. We welcome and celebrate diversity in all aspects of our workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We strive to create an inclusive environment where everyone can thrive.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Location: Denver, Colorado (3-day hybrid in-office role) Compensation: $108K - $125K (Offers Bonus) Essential Responsibilities
Denver, Colorado, United States
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)
Fueled by Excellence & Collaboration At Rowan, we are a distributed team united by a common mission to transform data center delivery. Across our two offices, we offer a hybrid work environment supported by teamwork, technology, and in-office gathering time to help you be successful. We are headquartered in downtown Denver, Colorado and have an office in Seattle, Washington. Our team of talented and passionate individuals is spread out across the U.S. Here to support you
More relevant text appears in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.