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Databricks Software Jobs in Utah (NOW HIRING)

Diversify

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift) * Strong communicator able to explain complex integration and data concepts to technical ...

Diversify

Sr. Data & Integrations Engineer

Sandy, UT

$108K - $130K/yr

Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift) * Strong communicator able to explain complex integration and data concepts to technical ...

Wipro Limited

DEVELOPER L3(CONTRACT)

Santa Clara, UT · On-site

$45K - $121K/yr

Role Purpose The purpose of this role is to design, test and maintain software programs for ... Familiarity with querying modern data platforms like Databricks, Snowflake, or Redshift.

Wipro Limited

DEVELOPER L3

Santa Clara, UT · On-site

$45K - $121K/yr

Role Purpose The purpose of this role is to design, test and maintain software programs for ... Familiarity with querying modern data platforms like Databricks, Snowflake, or Redshift.

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

ION Solar

BI - Senior Data Analyst

Orem, UT · On-site

$74K - $94K/yr

Organize yourself around best practices for project management in the software suite that the team ... Power BI/Fabric, Databricks, Snowflake) * Strong analytical and problem-solving skills with the ...

ION Solar

BI - Senior Data Analyst

Orem, UT · On-site

$70K - $80K/yr

Organize yourself around best practices for project management in the software suite that the team ... Power BI/Fabric, Databricks, Snowflake) * Strong analytical and problem-solving skills with the ...

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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. Data & Integrations Engineer

Sr. Data & Integrations Engineer

Diversify

Sandy, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Us
Diversify is the future of wealth management. Founded by seasoned advisors and industry leaders, Diversify has developed institutional-grade resources, complemented by the personal attention and support that defines a true partnership.
We strive to cultivate a family-like culture, an institutional platform and an immersive experience that enables advisors and wealth management firms to differentiate themselves, retain their entrepreneurial autonomy, and, most importantly, protect and serve clients effectively.
Learn more about us at https://diversify.com.
About the Position:
As a Senior Integrations Engineer (Data Architecture Focus), you will own the design and governance of enterprise integrations and data architecture that connect our systems and power analytics, reporting, and operations. You'll partner closely with data, finance, product, and engineering teams to ensure our data ecosystem is scalable, reliable, secure, and well-structured.
This role is ideal for a senior technologist who blends systems integration expertise with strong data architecture judgment. This is a full-time in-office position at our headquarters in Sandy Utah. Hybrid work is an option for the right candidate.
Your Impact:
Integration & Data Architecture
  • Architect and deliver enterprise-grade integrations using iPaaS platforms, middleware, APIs, and event-driven patterns
  • Design and maintain ETL/ELT pipelines and real-time data flows that support operational and analytics use cases
  • Define and enforce integration and data architecture standards, patterns, and best practices
  • Ensure reliability, observability, security, and scalability across all integration and data workflows

Data Modeling & Governance
  • Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics
  • Establish data standards, naming conventions, governance policies, and quality validation across integrated systems
  • Architect data warehouse and lakehouse structures aligned to integration outputs and analytics needs
  • Lead architecture reviews for new systems, vendors, and integrations

Leadership & Collaboration
  • Partner cross-functionally to translate business requirements into integration and data architecture solutions
  • Serve as a technical mentor and escalation point for engineers
  • Evaluate and drive adoption of new integration, data, and platform technologies
  • Maintain clear documentation of architectures, data flows, and operational runbooks

Who You Are:
  • 6+ years of experience in integrations, data engineering, or data architecture, including 2+ years in a senior or lead role
  • Strong experience with iPaaS and integration platforms (e.g., MuleSoft, Boomi, Workato, Azure Integration Services)
  • Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift)
  • Strong communicator able to explain complex integration and data concepts to technical and non-technical audiences
  • Detail-oriented, analytical, and skilled at resolving data and integration challenges
  • Experience in financial services, wealth management, or regulated environments preferred

Your Toolkit:
  • SQL and advanced data modeling (relational, dimensional, NoSQL)
  • ETL/ELT tools and frameworks (dbt, Fivetran, Informatica, Talend)
  • APIs, event streaming, and messaging (REST/SOAP, Kafka, EventBridge)
  • Cloud-native architectures on AWS, Azure, or GCP
  • Programming/scripting (Python, Java, Node.js)
  • CI/CD, microservices, containerization (Docker/Kubernetes)
  • Data governance, cataloging, and metadata tools (e.g., Alation, Collibra)
  • Security and compliance standards (SOC 2, GDPR, HIPAA)
  • Familiarity with MDM concepts and tools
  • Relevant certifications a plus

Benefits:
  • Core Benefits - Medical with HSA and FSA options, dental, and vision.
  • Preparing for Your Future - 401(k) with a generous company match, access to a personal financial planner, and unique investment options.
  • Great Team Culture - Team members consistently rave about having great colleagues.
  • Time Off - We value family, giving back, making a positive impact in society, and creating time to enjoy life. You will enjoy 4 weeks paid time off, 12 paid holidays, and 2 days for giving back.

Join Us Now!
If you are ready to fast-track your career, make meaningful connections, and embark on a thrilling journey, apply now!
We demonstrate and act with complete and unconditional honesty and adhering to principles of sound ethics. After accepting an offer of employment, all candidates will go through a pre-employment background check, credit check, and pre-employment drug screen. Diversify is an Equal Opportunity Employer.

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