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Data Infrastructure Manager Jobs in Utah (NOW HIRING)

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128.50K/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 ...

Octanner

Manager, IT Operations

Salt Lake City, UT

Infrastructure Expertise: * Strong understanding of data center management, v irtualization, server and storage hardware architecture/management, Azure, AWS, Linux and Windows based systems, cloud ...

Bread Financial

Data Engineer

Draper, UT

$107K - $128.50K/yr

This includes data infrastructure and pipelines to support analytics and product, as well as data ... Effectively manages time and computing resources in order to deliver on time/correctly on ...

New

NetDocuments

Data Architect

Lehi, UT · On-site

$210K - $230K/yr

Architect and implement event-based data infrastructure using technologies such as Kafka, SQS, and SNS. * Define standards for event schema design, topic management, consumer patterns, and data ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

Pattern

Staff Data Platform Engineer

Lehi, UT

Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure. * Data Processing: Strong experience with distributed data ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure. * Data Processing: Strong experience with distributed data ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure. > * Data Processing: Strong experience with distributed data ...

Navitas Semiconductor

Your mission is to consolidate fragmented data from CRM and ERP systems into a unified, automated infrastructure that powers the global semiconductor sales strategy. 1. Cloud Data Infrastructure ...

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Data Infrastructure Manager information

What are the key skills and qualifications needed to thrive as a Data Infrastructure Manager, and why are they important?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by Data Infrastructure Managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What are Data Infrastructure Managers?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What are the most commonly searched types of Data Infrastructure jobs in Utah? The most popular types of Data Infrastructure jobs in Utah are:
What are popular job titles related to Data Infrastructure Manager jobs in Utah? For Data Infrastructure Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in Utah look for? The top searched job categories for Data Infrastructure Manager jobs in Utah are:
What cities in Utah are hiring for Data Infrastructure Manager jobs? Cities in Utah with the most Data Infrastructure Manager job openings:
Data Infrastructure Manager jobs near you
Data & Infrastructure Engineer

Data & Infrastructure Engineer

WorkBay

Draper, UT • On-site

$107K - $128.50K/yr

Full-time

PTO

Posted 19 days ago

Job description

Salary: Based on Experience

Company: WorkBay
Location: Salt Lake City, UT area | On-Site
Employment Type: Full-Time
Compensation: Based on experience


About WorkBay
WorkBay is the largest owner/operator of micro-bay industrial warehouse parks in the United
States. Fully vertically integrated, we develop, acquire, and manage micro-bay properties across
the country's top markets. We move fast, think strategically, and build systems that scale and
we're looking for an engineer who does the same.


Position Overview
We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the
data platform that powers WorkBay's operations, analytics, and strategic decision-making. You
will maintain and extend our data pipelines, API integrations, cloud deployments, and AI powered tools ensuring the integrity, security, and reliability of our proprietary systems as we continue to scale.


Key Responsibilities

  • Maintain and extend scheduled data sync pipelines that pull from third-party APIs into our
    PostgreSQL database
  • Monitor and troubleshoot cloud deployments across Vercel (serverless functions) and
    Railway (container services), including uptime, logs, and performance
  • Build and manage API integrations designing endpoints, handling authentication, and
    ensuring reliability across internal and external services
  • Enforce data integrity standards including validation, cleansing, deduplication, and quality
    assurance across complex multi-source data
  • Implement and maintain data security protocols to protect WorkBay's proprietary
    information, including access controls and encryption
  • Support and extend our AI infrastructure, prompt configurations, evaluation suites, and cost
    monitoring
  • Own database schema migrations, indexing, and query optimization in PostgreSQL
  • Manage version-controlled codebases using GitHub, including code reviews, CI/CD pipelines,
    and deployment workflows
  • Collaborate with leadership to design data-driven tools and dashboards that support
    operational decision-making
  • Document data architecture, runbooks, and processes to ensure organizational continuity


Qualifications

Required

  • 35 years of professional experience in data engineering, platform engineering, or a related
    field
  • Strong proficiency in Python and SQL
  • Production experience with PostgreSQL (schema design, migrations, query optimization)
  • Experience building and consuming REST APIs
  • Proficiency with GitHub and modern version control workflows (branching, PRs, CI/CD)
  • Experience with serverless platforms (Vercel, AWS Lambda, Cloudflare Workers, or similar)
  • Comfort with Linux CLI, shell scripting, and remote server management
  • Strong problem-solving skills with the ability to work independently and manage multiple
    priorities


Preferred

  • Exposure to AI/LLM architecture understanding how large language models consume
    data and how to structure pipelines that support AI-driven applications
  • Experience with container-based deployment platforms (e.g., Railway, Docker, Fly.io)
  • Experience with CRM integrations (e.g., Salesforce, HubSpot) or property management systems
    (e.g., Yardi, MRI, RealPage)
  • Background in real estate, property management, or commercial real estate tech
  • Experience with ETL/ELT patterns and workflow orchestration (e.g., APScheduler, Airflow,
    Dagster)
  • Familiarity with React/TypeScript (not required, but helpful for full-stack debugging)
  • Experience in a high-growth or scaling company environment


What We Offer

  • Competitive compensation based on experience
  • Generous PTO policy
  • Opportunity to own critical infrastructure at a fast-scaling company in commercial real estate
  • A lean, entrepreneurial environment where your work directly impacts company growth
  • Cutting-edge AI/ML workflows for real estate you'll work with LLM APIs, prompt engineering, and AI-powered automation in a live business context


WorkBay is an equal opportunity employer. We celebrate diversity and are committed to
creating an inclusive environment for all employees