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Weekend Amazon Data Engineer Jobs in Utah (NOW HIRING)

Pattern

VP of Data Platform & Architecture

Lehi, UT

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... Obsess over the "developer experience," building self-service capabilities and abstractions that ...

Pattern

VP of Data Platform & Architecture

Lehi, UT

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... Obsess over the "developer experience," building self-service capabilities and abstractions that ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... Obsess over the "developer experience," building self-service capabilities and abstractions that ...

Amazon

Area Manager II

West Jordan, UT · On-site

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

Amazon

EHS Specialist

Marriott Slaterville, UT · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Amazon

EHS Specialist

Marriott Slaterville, UT · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Amazon

Site Leader

West Jordan, UT · On-site

... overnight, weekends and holidays - 7+ years direct management experience, including a salaried ... in Engineering, Operations or related field. MBA preferred Amazon is an equal opportunity employer ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Being the subject matter expert on Amazon (& other marketplaces) and Pattern capabilities such that ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Being the subject matter expert on Amazon (& other marketplaces) and Pattern capabilities such that ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Being the subject matter expert on Amazon (& other marketplaces) and Pattern capabilities such that ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · Hybrid

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · Hybrid

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site +1

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is ... Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

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Weekend Amazon Data Engineer information

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are popular job titles related to Weekend Amazon Data Engineer jobs in Utah? For Weekend Amazon Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Utah look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Utah are:
What cities in Utah are hiring for Weekend Amazon Data Engineer jobs? Cities in Utah with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
VP of Data Platform & Architecture

VP of Data Platform & Architecture

Pattern

Lehi, UT

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.
What is a day in the life of a Vice President of Data Platform & Architecture?

  • Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and platform architecture.

  • Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events.

  • Collaborate with cross-functional teams to drive a company-wide data vision and operating model aligned with corporate goals.

  • Obsess over the "developer experience," building self-service capabilities and abstractions that reduce time-to-delivery from days to minutes.

  • Manage the performance and cost efficiency of the platform, including transitions toward open-source technologies like Airflow, Debezium, Iceberg, Trino, and Spark.

  • Mentor international engineering teams, establishing high-level frameworks for technical excellence and operational rigor.

What will I need to thrive in this role?

  • Scale Systems Expertise: Deep experience architecting and operating large-scale distributed data platforms at a multi-petabyte scale on cloud services (AWS preferred).

  • Platform-First Mindset: Proven ability to build internal developer frameworks and abstractions rather than just managing pipelines.

  • Technical Depth: Strong background in software engineering and distributed systems design, specifically with batch and real-time processing.

  • Global Leadership: Experience leading and scaling international engineering organizations of 50+ professionals.

  • Open-Source Fluency: Familiarity with modern open-source stacks (e.g., Airflow, Debezium, Kafka, Spark, Clickhouse) and the trade-offs involved in platform architecture.

  • Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.

What does high performance look like?

  • Project Execution: The data platform evolves into an open-source, scalable, self-service environment that is fully adopted by engineering teams across the company.

  • System Impact: Measurable improvements in system latency, throughput, and cost-efficiency for production-critical workloads.

  • Team Impact: Measurable increase in developer velocity across the organization, driven by the removal of architectural friction and support of AI tools.

What is my potential for career growth?

  • Direct influence on the technical trajectory of a global ecommerce leader.

  • Opportunity to lead a high-stakes transition from commercial to open-source platform architecture.

  • Executive-level networking and strategic partnership with the broader Engineering and Product leadership.

  • Role as the primary technical authority on scalability and distributed systems for the entire organization.

What does success look like in the first 30, 60, 90 days?

  • 30 Days: Complete a comprehensive audit of the current architecture, identify friction points in developer velocity, and build relationships with international team leads.

  • 60 Days: Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.

  • 90 Days: Demonstrate early wins in system performance or cost-efficiency.

What is the team like?

  • This role reports directly to the Chief Technology Officer (CTO).

  • You will be joining a growing team of 50+ professionals across global locations.

  • In this role, you will collaborate closely with Directors of Data Engineering, SRE Leads, and Product Managers as well as other departments including Engineering, Security, and Sales.

  • This position is mentored by the CTO.

What is the hiring process?

  • Recruiter Interview

  • Technical/Architectural Deep Dive Interview

  • Interview with Engineering Leadership

  • Reference Checks

  • Executive Review

  • Offer

How can I stand out as an applicant?

  • The "Nice-to-Haves": Experience in building developer tools, familiarity with Clickhouse, and a history of contributing/managing significant open-source data projects

  • Stand-Out Tips:

  • Be prepared to discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools - including commercial vs. open-source considerations at scale.

  • Highlight specific instances where you improved developer velocity by introducing platform abstractions.

  • Demonstrate your ability to lead and unify engineering teams across different time zones and cultures.

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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