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Junior Azure Data Engineer Jobs in Utah (NOW HIRING)

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

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 ...

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

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 ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

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 ...

Wipro Limited

DEVOPS ENGINEER L3

Redmond, UT · On-site

$45K - $121K/yr

Azure Data Factory, Synapse, Cosmos, ADLS - Intermediate * Ability to debug REST APIs - Good to have Mandatory Skills: Enterprise Platform Devops Tools. Experience: 3-5 Years. The expected ...

New

Sunwest Bank

Cloud Platform Engineer

Draper, UT

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Sunwest Bank

Cloud Platform Engineer

Draper, UT · On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Bridge Property Management

Power BI Developer

Sandy, UT · On-site

Connect Power BI to multiple sources: our Azure SQL data warehouse, a semantic layer, an analytics ... Collaborate with data engineering to shape the tables and views that feed your reports and to flag ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with ...

Novva Data Centers

Senior Security Engineer

West Jordan, UT · On-site

$106K - $146K/yr

Position Summary NOVVA Data Centers is seeking a highly skilled Senior Security Engineer to lead ... Mentor junior security staff * Provide technical guidance * Evangelize strong security practices

MRIoA

Senior Azure Cloud Engineer (Remote)

Salt Lake City, UT · On-site +1

$54 - $72/hr

... for all Azure cloud infrastructure and architecture * Define cloud engineering standards ... Manage DNS, certificate lifecycle, and network connectivity supporting data exchange with payers ...

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How much do junior azure data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior azure data engineer in Utah is $65,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $72,800.00 per year, depending on experience, location, and employer.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

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

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Junior Azure Data Engineer jobs near you
Infographic showing various Junior Azure Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,364 per year, or $31.4 per hour.

Senior Data Engineer

LVT

American Fork, UT

$94K - $128K/yr

Full-time

Re-posted 15 days ago

Job description

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.

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