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Weekend Amazon Data Engineer Jobs in Idaho (NOW HIRING)

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

No dumb perks (and a trail mix bar) No weekend dog-walking gimmicks that look cool but cost nothing ... engineers, data analysts, and stakeholders. Requirements * Bachelor's (BA or BS) in computer ...

Amazon

Flight Monitor, Amazon - Prime Air

Nampa, ID · On-site

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

Amazon

Flight Monitor, Amazon - Prime Air

Nampa, ID · On-site

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

Amazon

Prime Air Ground Handler, Amazon Prime Air

Nampa, ID · On-site

$15.75 - $18.75/hr

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... weekends, and holidays This role may require travel, up to 25% of the time Export Control License:

Amazon

Flight Monitor, Amazon - Prime Air

Nampa, ID · On-site

Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

Amazon

Prime Air Ground Handler, Amazon Prime Air

Nampa, ID · On-site

$15.75 - $18.75/hr

Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been ... weekends, and holidays This role may require travel, up to 25% of the time Export Control License:

Amazon

Area Manager II

Nampa, ID · 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 ...

Kochava

Data Scientist

Sandpoint, ID · On-site

... and engineering teams to clarify requirements, scope analytical work, and deliver on project ... Amazon Redshift or Google BigQuery. • Experience working with high volume and high velocity data ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

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Weekend Amazon Data Engineer information

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 in Idaho are hiring for Weekend Amazon Data Engineer jobs?

Cities in Idaho with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Senior Data Engineer

Post Falls, ID • On-site, Remote

Corporate Tools
Software Development • 51 - 200 employees
Learn more about Corporate Toolsexternal

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Key responsibilities

  • Build and manage data services and platforms from scratch using OpenSource technology.

  • Create and maintain ETL pipelines that clean, transform, and load data from multiple sources into databases or data sources.

  • Collaborate with Data Analysts to provide necessary data and implement process improvements for scalability and automation.

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
Up to $150,000 / year
Benefits
  • 100% employer-paid medical, dental & vision Full coverage for employees - nothing comes out of your paycheck. Plus an annual review with a raise option.
  • Time off that grows with you 22 days PTO + 4 holidays to start. After 3 years it bumps to 29 days, and after 5 years you move to flexible time off - not accrued, not capped. Take time off when you want.
  • Parental leave & 401(k) match Paid parental leave, plus up to 6% company 401(k) matching with no vesting period - it's yours from day one.
  • Quarterly allowance Spend it on whatever makes work better: a comfier remote setup, continuing-education classes, a plant for your desk, coffee for a coworker, a massage for yourself... really, whatever.
  • No dumb perks (and a trail mix bar) No weekend dog-walking gimmicks that look cool but cost nothing because nobody uses them. We spend on benefits you'll actually use - an open-concept office, friendly coworkers, a creative environment, and yeah... a trail mix bar.

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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