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Senior Databricks 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 ...

Senior Data Engineer

American Fork, UT

$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 ...

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 ...

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Past JobThe Sr. Data Engineer designs, builds, and maintains the pipelines, graph, and semantic data models that form the Xenter Data Layer - the cloud platform where human clinical needs meet ...

New

Senior Data Engineer

Midvale, UT · On-site

$100K - $135K/yr

We are looking for a highly versatile and hands-on Senior Data Engineer to help design, build, and operate a modern cloud data platform. This role sits at the intersection of data engineering ...

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 ...

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 ...

Data Platform & Databricks Administration - Strong data engineering background with experience designing, building, and supporting data pipelines and cloud data platforms. Hands-on experience ...

AI Data Engineer

Provo, UT

$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 Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Senior Manager, Data Engineering Location: Home Office Compensation: $125,000 - $150,000 Reports to ... Databricks, Redshift, Synapse, etc.) Real-Time Data & Streaming (Kafka or similar) Data Governance ...

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Senior Manager, Data Engineering Location: Home Office Compensation: $125,000 - $150,000 Reports to ... Databricks, Redshift, Synapse, etc.) Real-Time Data & Streaming (Kafka or similar) Data Governance ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case ... Data access boundaries and governance * Audit logging and monitoring frameworks -Define and ...

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 ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$53.50 - $69/hr

Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case ... Data access boundaries and governance * Audit logging and monitoring frameworks -Define and ...

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

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 ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Utah? The most popular types of Databricks Data Engineer jobs in Utah are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Utah? For Senior Databricks Data Engineer jobs in Utah, the most frequently searched job titles are:
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What cities in Utah are hiring for Senior Databricks Data Engineer jobs? Cities in Utah with the most Senior Databricks Data Engineer job openings:

Senior Data Engineer

LVT

American Fork, UT • On-site

$94K - $128K/yr

Other

Re-posted 11 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.