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Databricks Software Jobs in Utah (NOW HIRING)

Packsize

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case ... years in software development or data engineering * Hands-on experience building LLM-based ...

Adobe, Inc.

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Advanced hands-on experience with enterprise business intelligence software applications including ...

Adobe

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Advanced hands-on experience with enterprise business intelligence software applications including ...

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $129K/yr

Its open platform integrates with nearly 650 software, data and consulting partners to power end-to ... Develop scalable data analytics processes for validation in Databricks * Write custom Python logic ...

Pwc

AI & GenAI Data Scientist - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Databricks, Snowflake, or related data and AI credentials - Demonstrating proficiency in AI ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

This includes the maintenance of hardware, software, networks, databases, and communication systems ... BigQuery, Databricks). * Strong command of SQL, Python, or R for data manipulation and analysis.

Crew Career Center

VP, Data Sciences

Lehi, UT

This includes the maintenance of hardware, software, networks, databases, and communication systems ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

Patientco

VP, Data Sciences

Lehi, UT

This includes the maintenance of hardware, software, networks, databases, and communication systems ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight * Experience with Agile software ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight * Experience with Agile software ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Utah? For Databricks Software jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Utah look for? The top searched job categories for Databricks Software jobs in Utah are:
What cities in Utah are hiring for Databricks Software jobs? Cities in Utah with the most Databricks Software job openings:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Utah as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Sr. AI Engineer

Sr. AI Engineer

Packsize International LLC

Salt Lake City, UT • On-site

$53.50 - $69/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Job Description:
Sr. AI Engineer
Preferred Locations: Salt Lake City, UT; Louisville, KY, or Amsterdam (All Hybrid)
About Packsize
Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.
About the Role
We are seeking an experienced AI Engineer to partner with our internal Data & Analytics and IT teams to design, build, and operationalize production-grade AI agents within the Microsoft ecosystem.
This role will focus on delivering enterprise-ready solutions using:
  • Microsoft Copilot Studio (low-code orchestration)

  • Azure AI Foundry (custom agent development & advanced processing)

The engagement will operate in a co-building model, working alongside consultants and internal teams to deliver initial AI pilot agents while establishing a scalable, governed AI platform.
What You'll Do:
AI Agent Architecture & Design:
Define reference architecture for agentic AI solutions across Copilot Studio and Azure AI Foundry
Establish design patterns for:
  • Retrieval-Augmented Generation (RAG)

  • Multi-agent orchestration

  • Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem)

Guide use-case prioritization and platform selection (Studio vs Foundry vs hybrid)
AI Agent Development & Delivery:
Build and deploy production-grade AI agents, including:
  • Knowledge & troubleshooting agents

  • Operational / workflow automation agents

  • Data and analytics-driven agents

-Implement:
  • Prompt engineering and evaluation strategies

  • Agent workflows and orchestration logic

  • API, connector, and system integrations

Platform Foundation & Governance:
Establish enterprise AI guardrails, including:
  • Security, RBAC, and identity integration (Entra ID)

  • Data access boundaries and governance

  • Audit logging and monitoring frameworks

-Define and implement:
  • Agent lifecycle (draft → pilot → production → retirement)

  • CI/CD pipelines and deployment standards

Azure AI & Microsoft Ecosystem Implementation:
Configure and deploy:
  • Azure OpenAI / model endpoints

  • Azure AI Search (vector + semantic retrieval)

  • Application Insights / Log Analytics monitoring

-Build and support:
  • Copilot Studio environments and orchestration layers

  • Azure AI Foundry-based custom agent services

Co-Development & Enablement:
Work directly with consultants and internal teams to:
  • Co-build pilot agents

  • Facilitate adoption and value-based outcomes

Partner with data engineering team on:
  • Data product and semantic layer alignment

  • AI orchestration

  • Observability and feedback loops

Enable internal teams on:
  • Agent design patterns

  • Responsible AI practices

  • Ongoing support and scaling

What You'll Bring:
Technical Expertise:
Strong experience with:
  • Azure AI services (Foundry, Cognitive Services, AI Search)

  • Microsoft Copilot Studio / Power Platform

  • Cloud-native architecture (Azure)

Experience building:
  • Conversational AI / chatbot / agent solutions

  • RAG pipelines and LLM-based applications

  • API integrations, MCP frameworks, and enterprise workflows

Architecture & Engineering:
Proven ability to design:
  • Scalable, secure AI platforms

  • Hybrid architectures (low-code + pro-code)

Experience with:
  • MLOps and CI/CD pipelines

  • Monitoring and observability (App Insights, logging, tracing)

  • Secure cloud networking and identity

  • Validating and optimizing AI systems

  • Evaluating and selecting AI platforms and tools (cloud-native and third-party)

  • Defining design patterns, standards, and guardrails for AI solutions

  • Balancing rapid experimentation with maintaining platform consistency and avoiding fragmentation

Governance & Responsible AI:
Experience implementing:
  • AI governance frameworks

  • Data security, privacy and compliance controls

  • Lifecycle management and deployment gating

Understanding of regulatory considerations (e.g., data privacy, AI compliance risks)
  • Experience with auditing, monitoring, and incident response for AI systems in production

Experience:
  • 5+ years in cloud / data / AI engineering or architecture roles

  • 5+ years in software development or data engineering

  • Hands-on experience building LLM-based applications or agentic AI solutions

Preferred Qualifications:
Microsoft certifications (Azure AI Engineer, Azure Architect, etc.)
Experience integrating AI agents with:
  • Microsoft Teams / M365

  • ERP / CRM systems (SAP, Salesforce)

Familiarity with Databricks or lakehouse architectures
Experience delivering multi-phase AI programs (pilot → scale)
Engagement Model:
  • First 90 days: co-build solutions with Microsoft Partner

  • Establish AI foundation and standards

  • Drive adoption and value realization

  • Create support model and roadmap enterprise AI solutions

What Success Looks Like:
  • Production-ready AI agents deployed within Microsoft 365

  • Scalable AI agent platform established (governed, monitored, secure)

  • Internal teams enabled to independently build and operate agents

  • Clear pipeline of business-driven AI use cases

  • Consistent use of defined AI platforms and patterns across teams

  • Reduced duplication and fragmentation across AI solutions

  • Clear intake, prioritization, and decision-making for AI use cases

  • Align with vendor best practice to build, take ownership, and continue building value for the organization!

What We Offer:
The base salary range for this role is $140k-$180k, however, Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience education / training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

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