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Data Engineer Manager Jobs in Utah (NOW HIRING)

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Manage the interface between our AI systems and the input data they need to operate via streaming ... Experience working on a team of developers, maintaining a shared codebase, and having your code ...

Pwc

ERP AI Engineer - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Fully vertically integrated, we develop, acquire, and manage micro-bay properties across the ... Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and ...

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Data Engineer Manager information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data engineer manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer manager in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Utah? The most popular types of Data Engineer jobs in Utah are:
What are popular job titles related to Data Engineer Manager jobs in Utah? For Data Engineer Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Utah look for? The top searched job categories for Data Engineer Manager jobs in Utah are:
What cities in Utah are hiring for Data Engineer Manager jobs? Cities in Utah with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Senior Data Engineer (Databricks & Cloud Analytics

Judge Group, Inc.

Salt Lake City, UT • On-site

$60 - $65/hr

Other

Posted 15 days ago

Job description

Location: Salt Lake City, UT Salary: $60.00 USD Hourly - $65.00 USD Hourly Description:
About the Role
We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable analytics, reporting, and business decision-making. In this role, you will collaborate with solution architects, business analysts, data scientists, and stakeholders to build scalable cloud-based data platforms and high-performance data pipelines using modern data engineering technologies. The position requires expertise in Databricks, Apache Spark, cloud analytics platforms, and enterprise data integration within an Agile development environment.
Responsibilities
  • Design, develop, test, deploy, and maintain enterprise data engineering solutions using cloud and big data technologies.
  • Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.
  • Build and maintain high-performance data ingestion, transformation, and integration frameworks for analytics and reporting.
  • Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
  • Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
  • Build and integrate RESTful APIs, event-driven architectures, and SOAP-based services to support enterprise data exchange.
  • Develop and maintain streaming and messaging solutions using Apache Kafka.
  • Monitor, troubleshoot, and optimize production data pipelines, perform root cause analysis, and implement long-term solutions.
  • Apply data quality, governance, security, and performance best practices across data platforms.
  • Manage source code using Git and follow CI/CD and DevOps practices.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
  • Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
  • Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.
  • 6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL, Scala
  • Experience with the Databricks ecosystem, including:
    • Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, MLflow, Databricks Jobs
  • Strong SQL development skills, including query optimization and performance tuning.
  • Experience designing and implementing ETL/ELT solutions using Azure Data Factory or similar cloud integration platforms.
  • Experience with Apache Kafka or other event streaming technologies.
  • Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services.
  • Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms.
  • Experience using Git for source code management and collaborative software development.
  • Experience working in Linux environments, including shell scripting and command-line utilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies.
  • Demonstrated ability to manage multiple priorities while delivering high-quality solutions.
  • Proven ability to work independently while mentoring team members and contributing to technical leadership.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Skills
  • Infrastructure as Code (IaC) tools such as Terraform.
  • CI/CD pipeline implementation using Azure DevOps, GitHub Actions, or similar platforms.
  • Microsoft Azure cloud services.
  • Azure Synapse Analytics.
  • Microsoft Fabric.
  • Power BI.
  • Data governance and metadata management.
  • DataOps and MLOps practices.
  • Enterprise data warehousing.
  • Master Data Management (MDM).
  • Experience working with financial services or public sector data environments.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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