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Director Data Engineering Jobs in Utah (NOW HIRING)

Director of Engineering Job type: Full Time · Department: Technology · Work type: Hybrid · USD ... Data & Messaging: PostgreSQL, Kafka, Airflow. * Operations/CI/CD: GitLab, Grafana, Loki. Varo is an ...

Director of Engineering Payments provides strategic leadership and operational oversight for ... data privacy standards, and internal financial controls. * Partner across departments (Product ...

Director of Engineering Payments provides strategic leadership and operational oversight for ... data privacy standards, and internal financial controls. * Partner across departments (Product ...

Director of Engineering Payments provides strategic leadership and operational oversight for ... data privacy standards, and internal financial controls. * Partner across departments (Product ...

Director of Engineering Payments provides strategic leadership and operational oversight for ... data privacy standards, and internal financial controls. * Partner across departments (Product ...

Smule is seeking a Director of Engineering to lead teams building scalable, reliable, and AI ... Partner with Product, Design, Data, Research, and technical leaders on roadmap planning ...

As the Director of Engineering for Xplor's Laundry SaaS business unit, you will be responsible for ... Have a bias to action ("Move with Purpose" Principle) - being data driven but also knowing when to ...

As the Director of Engineering for Xplor's Laundry SaaS business unit, you will be responsible for ... Have a bias to action ("Move with Purpose" Principle) - being data driven but also knowing when to ...

Showing results 41-60

Director Data Engineering information

See Utah salary details

$66.5K

$177.3K

$231.2K

How much do director data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for director data engineering in Utah is $177,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $230,300.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Utah?

The most popular types of Data Engineering jobs in Utah are:

What cities in Utah are hiring for Director Data Engineering jobs?

Cities in Utah with the most Director Data Engineering job openings:

Infographic showing various Director Data Engineering job openings in Utah as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% In-person job distribution, with an average salary of $177,258 per year, or $85.2 per hour.

Full-Stack Software Engineer, Platform Data

Zanskar

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Role Overview
Title: Full-Stack Software Engineer, Platform Data
Hours: Full-time; salaried
Location: Salt Lake City, UT (on-site, with hybrid flexibility)
Benefits Eligible: Yes
Manager: JD White
Mission - Why we exist and why we need you
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it's been hard to find and expensive to develop. At Zanskar, we're using better technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid. Joining us means having a direct impact in displacing carbon emissions - and growth opportunities in a startup environment.
The Platform Data team exists to organize all of Zanskar's data - internal, purchased, and public - and transform it into actionable insights. We do that in two ways: we build the data systems and pipelines that bring messy, heterogeneous data into one trustworthy place, and we build the web apps that put that data in front of the geoscientists, engineers, data scientists, and operators who use it to make decisions.
Outcomes - Problems you'll solve
You'll design and operate pipelines that ingest data from many sources - internal systems, purchased datasets, and external feeds - reconciling them into clean, well-modeled, findable data that people trust. You'll also build the web apps which deliver that data to stakeholders including dashboards, internal applications, and other interfaces. In short, you will be helping create a scalable data ecosystem in keeping with best practices so that geothermal experts can make decisions with confidence.
You'll own features end to end: designing system architecture, pipelines, APIs, and frontends, while being accountable for ensuring the entire system runs smoothly. You'll partner directly with teams across the organization to understand what they're trying to learn from the data, then build the thing that allows them to answer their questions.
Competencies - What we're looking for
  • Full-stack builder: You've built and maintained backend data systems and their associated user-facing applications. You're fluent in Python and SQL on the backend and in TypeScript and React on the frontend. You own features spanning the whole path from source to screen.
  • Data engineering instincts: You've designed schemas and built pipelines that move data reliably from messy sources into clean, queryable form. You think about idempotency, data quality, and what happens when an upstream source changes. Experience with orchestration and warehouse tooling (e.g., Airflow, Dagster, dbt, Snowflake, or BigQuery) is a strong plus. Experience with geospatial or scientific data - raster/vector formats, large file stores, PostGIS, or similar - is also nice-to-have.
  • Product-minded and collaborative: You can sit with a geoscientist, watch where they get stuck, and translate that into shipped products. You treat stakeholders as partners, working comfortably across teams, keeping people in the loop, surfacing trade-offs early, and building alignment on what to build and why.
  • Cloud & infrastructure fluency: You're comfortable deploying and operating what you build on a public cloud (AWS or GCP), with containers (Kubernetes) and infrastructure-as-code (e.g., Pulumi and Terraform).
  • Self-directed and comfortable with unsolved problems: You research options and make recommendations, doing your best work when the problem is real and the constraints are hard. You leverage and delegate to AI, treating modern AI tools as a core part of how you work, handing off tasks to AI agents to use them as a force-multiplier.
Benefits
  • Paid holidays
  • 18 days PTO + PTO accrual increase based on tenure
  • Medical, Dental & Vision coverage
  • Short term and long term disability
  • Equity Packages
  • 401k with matching
  • Paid Parental Leave

Equal Opportunity Employer
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.