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Weekend Amazon Data Engineer Jobs in Spokane, WA

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you ... engineers, data analysts, and stakeholders. Requirements * Bachelor's (BA or BS) in computer ...

Amazon

Operations Manager

Spokane Valley, WA · 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 - Spokane, WA

Spokane, WA · 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 - Spokane, WA

Spokane, WA

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager - Spokane, WA

Spokane, WA

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Zoller, Inc.

Applications Engineer - WA

Spokane, WA · On-site

$60K - $80K/yr

Modifying software on-site for format generating for machine-specific data transfer * Modifying ... Work a flexible schedule including weekends * Travel Monday through Friday * Travel outside of ...

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you ... Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean ...

Corporate Tools

Junior Automation Engineer

Spokane, WA · On-site

$55K/yr

No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you ... Develop automated scripts centered around test automation for form submission and data input.

Corporate Tools

iOS App Developer

Post Falls, ID · On-site +1

$120K/yr

... corporations can get your meta data. Running a second phone line and keeping our users ... No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you ...

Corporate Tools

Sr. iOS App Developer

Post Falls, ID · On-site +1

$150K/yr

... corporations can get your meta data. Running a second phone line and keeping our users ... No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Spokane, WA

Weekend Amazon Data Engineer information

See Spokane, WA salary details

$45K

$131.2K

$179.5K

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

As of Jul 29, 2026, the average yearly pay for weekend amazon data engineer in Spokane, WA is $131,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,000.00 per year, depending on experience, location, and employer.

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

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Overview
Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits.
As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created.
Wage
$150,000 / year
Benefits
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
    • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
    • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
    • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Creative environment where you can make a difference
  • No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
  • Trail Mix Bar - oh yeah

Responsibilities
  • Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech).
  • Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
  • Consume data from roughly 40 different sources
  • Collaborate closely with our Data Analysts to get them the data they need.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Improve existing data models while implementing new business capabilities and integration points.
  • Creating proactive monitoring so we learn about data breakages or inconsistencies right away.
  • Maintaining internal documentation of how the data is housed and transformed.
  • Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools.
  • Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders.

Requirements
  • Bachelor's (BA or BS) in computer science, or related field.
  • 2+ years in a full stack development role
  • 4+ years of experience working in a data engineer role, or related position.
  • 2+ years of experience standing up and maintaining a Redshift warehouse
  • 4+ years of experience with Postgres, specifically with RDS.
  • 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions.
  • Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies.
  • Experience working with both analytical and transactional databases.
  • Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases.
  • Experience with Grafana or other monitoring/charting systems.
  • Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business.
  • Experience hosting and operating data platforms in cost efficient manner.
  • Ability to translate business requirements into non-technical, lay terms.
  • Proven expertise with data architecture design and deployment, data modeling, and database development.

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