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Data Processing Jobs in Sandy, UT (NOW HIRING)

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

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:

Pattern

Staff Data Platform Engineer

Lehi, UT

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:

Paycor

Data Engineer

Salt Lake City, UT

$99.60K - $156.50K/yr

Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform * Ensure data extraction, transformation and loading data meet data ...

Paychex

Data Engineer

Salt Lake City, UT

$99.60K - $156.50K/yr

Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform * Ensure data extraction, transformation and loading data meet data ...

AutoSavvy

Data Engineer

Woods Cross, UT · Remote

$108K - $129.70K/yr

Data Engineer (Mid-Level) Utah (Remote, Hybrid, and Local Required ) Overview AutoSavvy is a fast ... Reduce manual processes through automation Collaboration & Execution * Execute against defined ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

Establish governance standards, naming conventions, version control processes, and documentation to ... This includes data pipeline development, orchestration, transformation logic, and supporting data ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

Establish governance standards, naming conventions, version control processes, and documentation to ... This includes data pipeline development, orchestration, transformation logic, and supporting data ...

Swire Coca-Cola, USA

Data Scientist

Draper, UT · On-site

Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI Position requires a Master's degree in Business Analytics or an ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site

$99.86K - $124.28K/yr

Establish governance standards, naming conventions, version control processes, and documentation to ... This includes data pipeline development, orchestration, transformation logic, and supporting data ...

Swire Coca Cola USA

Data Engineer

Draper, UT

$107K - $128.50K/yr

Build and maintain secure and compliant data processing pipelines, tables, views, procedures and datasets * Integrate, transform, and consolidate data from various structured and unstructured data ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

If you would like more information about how your data is processed, please contact us.

Neighbor

Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

If you would like more information about how your data is processed, please contact us.

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

Strong command of at least one major programming language used for data processing * Hands-on experience designing and maintaining data lakes or cloud-based data warehouses * Deep understanding of ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

Ability to gather requirements and translate business processes into data, ML, and AI solutions * Comfortable working cross-functionally with both technical and non-technical stakeholders * Ability ...

BambooHR

Sr. Data Engineer

Salt Lake City, UT · Hybrid

$110.80K - $133.10K/yr

Ability to gather requirements and translate business processes into data, ML, and AI solutions * Comfortable working cross-functionally with both technical and non-technical stakeholders * Ability ...

University of Utah

Data Engineer III

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

Establish governance standards, naming conventions, version control processes, and documentation to ... This includes data pipeline development, orchestration, transformation logic, and supporting data ...

Epicor

Senior Data Scientist

Lehi, UT · Hybrid

Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches. * Collaborate crossfunctionally with engineering, analytics, finance, and ...

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$11

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How much do data processing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for data processing in Sandy, UT is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.25 per hour, depending on experience, location, and employer.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
More about Data Processing jobs
What are popular job titles related to Data Processing jobs in Sandy, UT? For Data Processing jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Sandy, UT look for? The top searched job categories for Data Processing jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Processing jobs? Cities near Sandy, UT with the most Data Processing job openings:
Data Processing jobs near you
Staff Data Platform Engineer

Staff Data Platform Engineer

Pattern

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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. >
  2. Technical video interview with a senior member of the data platform team
    3. >
  3. Onsite interview with peers and senior leadership
    4. >
  4. Professional reference checks
    5. >
  5. Executive review
    6. >
  6. Offer
    7. >

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. 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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