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Weekend Amazon Data Engineer Jobs in Tooele, UT (NOW HIRING)

Nicholas & Company Inc

Data Engineer

Salt Lake City, UT · On-site

$109K - $131K/yr

Data Engineer We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The ... Manage and optimize data storage solutions on platforms like Amazon Redshift to enable efficient ...

New

Pwc

Data Engineer - Manager

Salt Lake City, UT

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong DB Expertise in an Amazon environment (RDS, Postgres, and DynamoDB) * Strong ETL Experience ... Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to ...

Amazon

Senior Automation Engineer

West Jordan, UT · On-site

$97K - $127K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - 4+ years of process or production environment related PLC ...

Amazon

IT Support Engineer I, OTS

Salt Lake City, UT · On-site

About OTS Operations is at the heart of Amazon's business. We are known for our speed, accuracy ... Key job responsibilities - Network engineering and troubleshooting, data cabling and systems ...

Amazon

Operations Manager

West Jordan, UT · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

West Jordan, UT · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Salt Lake City, UT · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

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

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

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

North Salt Lake, 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

Operations Manager

Salt Lake City, UT · On-site

... data-driven decisions and analytical problem-solving. Our Operation's workflow has three major ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Synchrony Financial

VP, Amazon Analytics

Draper, UT · On-site

Lead end-to-end analytics delivery: problem definition, data sourcing/mining, analysis, insight ... Degree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Tooele, UT

Weekend Amazon Data Engineer information

See Tooele, UT salary details

$41.8K

$121.8K

$166.6K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend amazon data engineer in Tooele, UT is $121,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

What is a Weekend Amazon Data Engineer?

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 does a typical weekend look like for a Weekend 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 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 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 cities near Tooele, UT are hiring for Weekend Amazon Data Engineer jobs? Cities near Tooele, UT with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Data Engineer

Nicholas & Company Inc

Salt Lake City, UT • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Nicholas and Company rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

164th of 415 rated retail wholesalers

Job description

Data Engineer

We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The successful candidate will play a crucial role in building and maintaining our data infrastructure and analytics capabilities. You will work collaboratively with our data science and business intelligence teams to ensure the efficient flow and quality of data across our systems.

Apply at: http://www.nicholasandco.com/join-our-team

Schedule: Monday-Friday 8:00 AM-5:00 PM. This is a salaried position schedule may change due to business demands

Pay: Based on experience

Responsibilities:

  • ETL Development:
    • Design, develop, and maintain robust ETL processes for extracting, transforming, and loading data from various data sources to our data warehouse.
  • Data Analysis & Modeling:
    • Collaborate with data analysts and stakeholders to understand data requirements and build efficient data models.
  • Data Pipeline Management:
    • Develop and optimize scalable data pipelines to handle large volumes of data efficiently using Spark and other big data technologies.
  • Data Integration:
    • Utilize tools like HVR and Matillion to integrate data from diverse sources, ensuring data integrity and availability.
  • Data Visualization:
    • Create and maintain dashboards and reports using PowerBI and Looker to support business decision-making.
  • Data Warehousing:
    • Manage and optimize data storage solutions on platforms like Amazon Redshift to enable efficient querying and data analysis.
  • Collaboration:
    • Work with cross-functional teams, including data science, software engineering, and business intelligence, to deliver comprehensive data solutions.
  • Machine Learning Support:
    • Collaborate on the development and deployment of machine learning models, ensuring proper data preprocessing and management.
  • Code Versioning:
    • Use Git for code versioning and collaboration on data projects.

Required:

  • Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
  • At least 5 years of experience as a Data Engineer or in a similar data-focused role.
  • Previous hands-on experience with Amazon Redshift.
  • Previous experience in Python for data processing and analysis.
  • Previous experience in developing ETL workflows and data pipelines.
  • Previous experience working in Agile environment is a plus.
  • Ability to be familiar with Spark for data processing.
  • Ability to work independently and part of a team as well.
  • Ability to have strong communication and collaboration skills.
  • Ability to be proficient with Git for version control and collaboration.
  • Ability to have strong problem-solving skills with an analytical mindset.
  • Ability to have high attention to detail and a commitment to data quality.
  • Ability to be proficient in Power BI and Looker for building impactful dashboards.
  • Ability to understand machine learning concepts and the ability to work ML models.
  • Working knowledge of HVR and Matillion for data integration.
  • Working knowledge of querying, analysis, and database management.

About us

Since 1939, our family has delivered quality and integrity—in our business, our products, and our relationships. Founded by Nicholas Mouskondis over 80 years ago, Nicholas and Company are third-generation family owned and operated. With both our family and our business rooted in the community, we’re the local choice for foodservice.

https://www.nicholasandco.com/about-us/

What we offer

  • Competitive compensation package and generous Health benefits (Medical, dental and vision)
  • 401K profit-sharing plan
  • HSA with employer contributions
  • Wellness program with premium incentives
  • Tuition reimbursement up to $4,000 per calendar year
  • Driven work environment that recognizes, respects, and appreciates results.

Must be able to perform essential duties and responsibilities efficiently, accurately, and safely with or without accommodation. Must comply with all company policies and procedures, as well as, state, federal and safety regulations.




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