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DevOps Data Engineer

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Reef
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 175000 USD Yearly USD 125000.00 175000.00 YEAR
Job Description & How to Apply Below

Dev Ops Data Engineer

Company: Reef Capital

Location: Lehi, UT (On-site)

Salary: $125,000 - $175,000

Please note:

we cannot offer relocation or visa sponsorship.

Reef Capital is a Utah‑based vertically integrated investment and development firm founded in 2005, with three primary lines of business:
Investments, Real Estate, and Lifestyle. Reef’s team is currently involved in some of the most prominent development transactions in Utah and other targeted geographies across the United States.

Built on two decades of success, our investment approach combines proven expertise with purposeful innovation. Reef’s team has completed more than 500 transactions across all lines of business. In addition to our real estate investment strategy, Reef and/or affiliates own and operate various businesses that add significant long‑term value to its projects. We have grown rapidly, expanding from about 25 employees to well over 400, with managed assets on behalf of over 750 institutional and individual partners worldwide.

With the motto “Expect the Best,” Reef’s most prominent developments include Black Desert Resort, a $2 billion luxury resort in Ivins, Utah;
Marcella, a luxury private golf community in Park City, Utah;
Tributer Resort, Virginia’s newest premier private lakeside golf destination;
Cornerstone Club, a 5,000‑acre residential community, private club, and resort in Telluride, Colorado;
Sweetens Cove, a renowned and evolving golf destination nestled in the Tennessee Valley; and the restoration of the historic Coco Palms Resort in Wailua, on the island of Kauai, Hawaii.

At Reef, our mission is to recruit, develop, and retain entrepreneurial individuals who desire to build and create something long‑lasting and meaningful. Our business enables bright, committed people to work in high‑performing teams within an environment that allows each person to achieve their professional objectives. Reef values a strong culture dedicated to the health and well‑being of our employees.

Position Summary

Reef is seeking an experienced and highly motivated Dev Ops Data Engineer to design, build, and maintain scalable data infrastructure, pipelines, and integrations that support enterprise analytics, reporting, and data‑driven decision‑making. This role is essential for centralizing data from multiple sources, ensuring data quality and accessibility, while automating processes and aligning data solutions with business objectives. The ideal candidate will combine expertise in data pipelines, cloud platforms, scripting, and integration with strong project collaboration skills.

Key Responsibilities Data Infrastructure and Pipelines
  • Design, build, and maintain data lakes (e.g., using AWS Lake Formation, S3, Snowflake, or similar platforms like Microsoft Fabric) for centralized data storage, ingestion from multiple sources, and governance.
  • Implement and optimize data pipelines for ETL (Extract, Transform, Load) processes, ensuring data quality, security, compliance, and handling large‑scale enterprise data volumes from SaaS applications.
Data Migration and Optimization
  • Plan and execute data migrations with a focus on preserving data integrity and minimizing downtime.
  • Optimize data flows and storage for advanced analytics, reporting, and real‑time syncing.
Integrations and Automation
  • Lead integration projects to enable interoperability across enterprise applications (e.g., Salesforce, Microsoft 365, Hub Spot).
  • Develop scripts in Python and Power Shell for custom data ingestion, transformation, automation, and system efficiency tasks.
  • Identify automation opportunities to reduce manual data handling and enhance integrated environments.
Analytics and Reporting Support
  • Build custom reports and visualizations using tools like Microsoft SQL scripting, Power BI, or SharePoint.
  • Support data governance, security best practices, and documentation.
Project Management and Collaboration
  • Collaborate with cross‑functional teams to translate business needs into technical data solutions.
  • Lead data‑related projects, including migrations, pipeline deployments, and technology initiatives.
  • Research and recommend emerging technologies (e.g., cloud‑native data tools) to…
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