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Intern Databricks Data Engineer Jobs in Provo, UT

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

The Data Research and Collection Intern collects and interprets data for our customers affected by ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

The Data Research and Collection Intern collects and interprets data for our customers affected by ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ... Experience working with modern ML Ops tools, such as Snowflake or Databricks ML features (e.g.

As an intern, you'll work in an AI-enabled development environment, where modern tools accelerate ... Strong foundation in software engineering fundamentals, including data structures, algorithms, and ...

BI Developer 3 (Contract) * Location: Lehi UT, 84043 (Hybrid) * Duration: 6/01/2026 to 9/30/2026 ... Build and optimize data models within Databricks and SQL Server environments * Develop and maintain ...

Showing results 41-60

Intern Databricks Data Engineer information

See Provo, UT salary details

$12

$24

$36

How much do intern databricks data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for intern databricks data engineer in Provo, UT is $24.04, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $27.31 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Provo, UT?

The most popular types of Databricks Data Engineer jobs in Provo, UT are:

What are popular job titles related to Intern Databricks Data Engineer jobs in Provo, UT?

For Intern Databricks Data Engineer jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Intern Databricks Data Engineer jobs in Provo, UT look for?

The top searched job categories for Intern Databricks Data Engineer jobs in Provo, UT are:

Staff Data Platform Engineer

Lehi, UT โ€ข On-site

Pattern
Health Care and Social Assistanceย โ€ขย 11 - 50 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Patternโ€™s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplacesโ€”including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweekโ€™s Global Most Loved Workplacesยฎ.

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.

What is a day in the life of a Staff Data Infrastructure Engineer?
  • Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders
  • Design and implement architectural solutions that drastically reduce friction in data access across the organization
  • Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements
  • Understand and integrate best security practices to ensure access compliance across all data assets
  • Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity
  • Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health
What will I need to thrive in this role?
  • 8+ years of experience in data infrastructure or backend software engineering with a โ€œData Fanaticโ€ mindset
  • Cloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure
  • Data Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus
  • Technical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++
  • Proactive Leadership: A โ€œcan-doโ€ attitude with a proven track record of solving complex problems and taking initiative
  • Collaborative Spirit: Strong ability to work across teams to deliver high-quality, high-impact results
  • System Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems
What does high performance look like?
  • Execution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance
  • System Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively
  • A Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth
  • Setting the Bar: You establish and enforce industry-leading best practices, ensuring the team adopts cuttingโ€‘edge processes
What is my potential for career growth?
  • Direct mentorship opportunities with senior leadership in Data and Architecture
  • Professional exposure through collaboration with diverse departments across the global Pattern ecosystem
  • A clear, merit-based path for advancement within a rapidly growing tech company
  • Opportunities to lead highโ€‘visibility projects that define the future of Patternโ€™s technical roadmap
  • Internal promotion priority for high-performing โ€œPattern Peopleโ€
What does success look like in the first 30, 60, 90 days?
  • First 30 Days: Build context quickly, assess the current platform, and identify the most important opportunities for improvement
  • First 60 Days: Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations
  • First 90 Days: Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization
What is the team like?

This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.

Sounds great! Whatโ€™s the company culture?

We are looking for individuals who are:

  • Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Patternโ€™s processes and outcomes
  • Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data
  • Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partnerโ€™s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern
  • Team of Doers: Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners
What is the hiring process?
  1. Initial interview with Patternโ€™s talent acquisition team
  2. Technical video interview with a senior member of the data platform team
  3. Onsite interview with peers and senior leadership
  4. Professional reference checks
  5. Executive review
  6. Offer
How can I stand out as an applicant?
  • Strong Niceโ€‘toโ€‘Haves: Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects
  • Quantify Success: During the interview, discuss professional accomplishments using specific data and metrics to show your impact
  • Show Your Passion: Highlight any side projects related to data analytics or large-scale infrastructure
  • The โ€œPartnerโ€ Lens: Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform
Why should I work at Pattern?

Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:

  • Unlimited PTO
  • Paid Holidays
  • Onsite Fitness Center
  • Company Paid Life Insurance
  • Casual Dress Code
  • Competitive Pay
  • Health, Vision, and Dental Insurance
  • 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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