ZipRecruiter

Log In

1

Senior Databricks Data Engineer Jobs in Utah (NOW HIRING)

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

LVT

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 ...

LVT

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 ...

LVT

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 ...

Atonom

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 ...

Atonom

AI Data Engineer

Provo, UT · On-site

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 ...

Atonom

AI Data Engineer

Provo, UT · On-site

$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 ...

Arturo

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 ...

Deloitte

Project - Data Engineer II

Salt Lake City, UT · On-site

$110K - $133K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Pwc

Data Strategy-Manager

Salt Lake City, UT

$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 ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Utah

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 is a Senior Databricks Data engineer?

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:
What job categories do people searching Senior Databricks Data Engineer jobs in Utah look for? The top searched job categories for Senior Databricks Data Engineer jobs in Utah are:
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 Databricks Data Engineer jobs near you

Senior Data Engineer

Pattern

Lehi, UT • On-site

$99K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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®.
As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte-scale challenges, transforming raw data into high-octane fuel for our AI models and global marketplace strategies. This is your chance to lead high-stakes technical initiatives that directly accelerate growth for hundreds of global brands in a fast-paced, elite engineering environment.
What is a day in the life of a Senior Data Engineer?
  • Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native architectures.
  • Writing sophisticated, production-grade Python code to automate data orchestration and processing.
  • Building/optimizing complex SQL queries and dimensional models for OLAP and OLTP based systems
  • Collaborating with cross-functional teams to ingest and harmonize data from dozens of global marketplaces.
  • Building and maintaining infrastructure-as-code and containerized workflows to ensure platform reliability.
  • Leveraging AI thoughtfully to optimize processes and workflows

What will I need to thrive in this role?
  • Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent experience).
  • 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and data modeling.
  • 5+ years of expert-level SQL mastery, including window functions, CTEs, and deep performance tuning.
  • 4+ years of professional Python development specifically tailored for data pipelines and tooling.
  • 3+ years of hands-on experience building/optimizing large-scale data warehouses like Snowflake, BigQuery, or Redshift.
  • Proficiency with open-source frameworks such as Apache Spark, Trino, Kafka, and Debezium.
  • A "Data Fanatic" mindset with experience handling petabyte-scale diverse datasets.

What does high performance look like?
  • Successfully executing the migration or optimization of massive data streams with zero downtime.
  • Consistently delivering clean, well-documented, and high-quality code that sets the standard for the engineering team.
  • Acting as a 'Doer' by taking the initiative to resolve platform bottlenecks before they impact partners.
  • Elevating the technical bar of the team through mentorship and the introduction of innovative engineering practices.

What is my potential for career growth?
  • Opportunity to lead major architectural shifts within a rapidly expanding global tech company.
  • Regular networking and collaboration with high-level technical leadership and AI experts.
  • Upward mobility toward Staff Data Engineer or specialized technical leadership roles.
  • Continuous learning opportunities with cutting-edge technologies like Apache Iceberg and real-time streaming architectures.

What does success look like in the first 30, 60, 90 days?
  • 30 Days: Complete onboarding, gain a deep understanding of current data architectures, and begin contributing to existing projects.
  • 60 Days: Identify and implement at least one major performance optimization within the data environment and lead a small-scale pipeline project.
  • 90 Days: Take responsibility for a significant segment of data processes, collaborating with other engineers and contributing to the long-term roadmap for lakehouse integration.

What is the team like?
  • This role reports directly to the Director of Data Engineering.
  • You will be joining a growing team of data professionals that span multiple geographies.
  • In this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing and Sales.

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?
  • Phone Interview with Talent Acquisition
  • Video Interview
  • Onsite Interview
  • Executive Review
  • Offer

How can I stand out as an applicant?
  • Strong Nice-to-Haves: Expertise in AWS services (Terraform, EKS, Lambda), experience with Apache Iceberg or Delta Lake, and a background in real-time streaming (Kafka/Kinesis).
  • Interview Tips: Be prepared to discuss your experience managing large-scale data outages or complex optimizations; highlight any 'Partner Obsessed' moments where your data work solved a critical business problem; and demonstrate your 'Data Fanatic' nature through a deep dive into a past side project or complex pipeline you built.

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.

Apply