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Senior Data Engineer Jobs in Springville, UT (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

$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

$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 ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building, and operating scalable data platforms, analytics systems, and AI/ML infrastructure. We'll rely on your ...

Adobe

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations. What you ...

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

THE ROLE As a 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

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

THE ROLE As a 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

Data Engineer

Provo, UT · On-site

THE ROLE As a 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

$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 ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Lead and guide teams in implementing programming best practices and adopting emerging technologies

Atonom

AI Data Engineer

Provo, UT

$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 ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Lead and guide teams in implementing programming best practices and adopting emerging technologies

ZimZee Recruiting

Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

ZimZee Recruiting is seeking an experienced Senior Data Scientist to join our client in Lehi, Utah ... Strong Python programming skills with experience using scientific computing and machine learning ...

nCino

Senior Data Scientist

Lehi, UT · On-site

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their ... data-related programming languages • Proficient creating machine learning, predictive modeling ...

BambooHR

Sr. Data Governance Engineer

Draper, UT

$99K - $134K/yr

As we continue to grow our data platform and AI capabilities, we're looking for a Senior Data Governance Engineer to help ensure our data is trusted, well-defined, and ready to power better decisions ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with Application Engineering, Product Management, and ... data, as well as in surfacing various analytically-based features in core products • Works on ...

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Showing results 1-20

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Springville, UT

Senior Data Engineer information

See Springville, UT salary details

$75.3K

$117.5K

$162.8K

How much do senior data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior data engineer in Springville, UT is $117,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $133,900.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What cities near Springville, UT are hiring for Senior Data Engineer jobs? Cities near Springville, UT with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Springville, UT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,489 per year, or $56.5 per hour.
Senior Data Engineer

Senior Data Engineer

Pattern

Lehi, UT • On-site

$99K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 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.

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