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Senior Microsoft Data Engineer Jobs in Utah (NOW HIRING)

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This ...

Engineer every stage to be idempotent and atomic - safe to retry or replay without duplication ... senior leadership to interns - to build understanding, alignment, and support for sound data ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong ETL Experience (especially in extraction and ingestion of 3rd party data) Nice-to-haves: * Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ...

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more . Our business has scaled ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Showing results 21-40

Senior Microsoft Data Engineer information

What is a senior Microsoft data engineer?

A Senior Microsoft Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. They are responsible for developing data pipelines, optimizing data storage, and ensuring the integrity and security of data systems. In addition to technical expertise, they often lead teams, mentor junior engineers, and collaborate with other departments to deliver business intelligence and analytics solutions. Their work helps organizations make data-driven decisions by providing accessible, reliable, and well-structured data.

What are some common challenges senior Microsoft data engineers face when integrating data from multiple sources?

Senior Microsoft Data Engineers often encounter challenges related to data consistency, compatibility, and scalability when integrating data from various sources. Ensuring that disparate data formats and schemas align with the organization's data models can require extensive data transformation and mapping. Additionally, managing data quality and real-time synchronization across platforms like SQL Server, Azure Data Factory, and Power BI are crucial for reliable analytics. Collaborating closely with business analysts and software developers is key to overcoming these challenges and delivering robust data solutions.

What are the key skills and qualifications needed to thrive as a senior Microsoft data engineer, and why are they important?

A Senior Microsoft Data Engineer requires deep expertise in data modeling, SQL, ETL processes, and strong proficiency in Microsoft data platforms such as Azure SQL Database and Synapse Analytics, usually backed by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to collaborate across teams are crucial soft skills. These competencies ensure robust, scalable data solutions that support business intelligence, operational efficiency, and informed decision-making.

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

The most popular types of Microsoft Data Engineer jobs in Utah are:

What cities in Utah are hiring for Senior Microsoft Data Engineer jobs?

Cities in Utah with the most Senior Microsoft Data Engineer job openings:

Senior Data Engineer

LVT

American Fork, UT • On-site

$94K - $128K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

ABOUT LVT
LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.
  • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
  • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
  • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

ABOUT THIS ROLE
As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting, analytics, and business decisions at scale. This is a high-impact individual contributor role: your technical decisions will influence company-wide systems and competitive positioning, not just team-level outputs. You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities.
This role is based in-office out of our Headquarters in American Fork, Utah.
ROLE RESPONSIBILITIES
  • Design, build, and maintain scalable, production-grade ELT pipelines that move data reliably from diverse source systems into a clean, well-governed data platform.
  • Architect and own LVT's Snowflake environment-performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance.
  • Develop and enforce semantic models that expose consistent, trusted business definitions across all reporting and analytics surfaces.
  • Define and drive data engineering standards that improve quality, reliability, and productivity across teams-not just within BI.
  • Lead cross-functional data initiatives, partnering with engineering, finance, operations, and product to deliver solutions that drive meaningful organizational outcomes.
  • Establish data quality infrastructure-implement validation, monitoring, and alerting frameworks that surface problems before they reach stakeholders.
  • Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope.
  • Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions.
OUR IDEAL CANDIDATE
  • Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under pressure and know how to build for long-term reliability.
  • Snowflake Depth: Expert-level Snowflake experience-performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.
  • Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi-team organization.
  • High-Impact Execution: You operate at the level of organizational strategy-your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade-offs, and build for the long term.
  • Data Quality Obsession: Reliability is non-negotiable. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.
  • Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way-without waiting to be told what to do.
  • AI Infrastructure Fluency: Familiar with AI/ML data patterns-RAG architectures, vector stores, embedding pipelines-and able to build the data infrastructure those systems require.
  • Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.

BENEFITS
We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.