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Contract Databricks Data Engineer Jobs in Utah (NOW HIRING)

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 ...

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable). * Familiarity with programming languages such as Python for workflow automation and ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

... programming (OOP), error handling, logging, contract testing, and version control Desired ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

... programming (OOP), error handling, logging, contract testing, and version control Desired ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess ... Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ...

... data providers, engineers, and other personnel across the company. Addepar takes a market-based ... Familiarity with using MS Suite, Salesforce, Atlassian, SQL, Databricks, Bloomberg, or other common ...

Sr. Data Governance Engineer

Draper, UT

$99K - $134K/yr

Manage relationships with business, product, and engineering data owners * Partner with enterprise ... Familiarity with Databricks, DBT, Snowflake, Claude code, Codex, Windsurfer * Experience with data ...

Sr. AI Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

... and data workflows, and testing, ensuring AI capabilities are delivered through intuitive and ... Databricks; implement improvements Mentor junior engineers and conduct code reviews across full ...

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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 Contract Databricks Data Engineer jobs in Utah? For Contract Databricks Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Utah look for? The top searched job categories for Contract Databricks Data Engineer jobs in Utah are:
What cities in Utah are hiring for Contract Databricks Data Engineer jobs? Cities in Utah with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Staff Data Platform Engineer

Staff Data Platform Engineer

Pattern

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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 Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
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 Newsweek's Global Most Loved Workplaces®.
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 "Data Fanatic" 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 "can-do" 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 cutting-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 high-visibility projects that define the future of Pattern's technical roadmap.
  • Internal promotion priority for high-performing "Pattern People."

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! What'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 Pattern'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 partner'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 Pattern'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 Nice-to-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 "Partner" 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.