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Data Engineer, Operations Analytics

Denver, CO Office · Seattle, WA Office · Denver, Colorado, United States

Actively hiring, first seen by us today
Pay
$108,000–125,000/yearAnnual period assumed — pay source
Location: Denver, Colorado (3-day hybrid in-office role) Compensation: $108K - $125K (Offers Bonus) Essential Responsibilities
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Work setting
Hybrid — work setting source
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: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
ECO › Facilities Operations — team source
Department: ECO › Facilities Operations
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Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status in the United States?
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What you’ll work on

Full posting

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

From the employer’s posting
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 & alternatives
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

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Rowan Digital Infrastructure is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • SQL
  • Azure
  • Databricks
  • Spark
  • Tableau
Where the posting names them
- 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

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

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Pay
Location: Denver, Colorado (3-day hybrid in-office role) Compensation: $108K - $125K (Offers Bonus) Essential Responsibilities
Location & working pattern

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)
More source context
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.

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