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Weekend Walmart Data Engineer Jobs in Idaho (NOW HIRING)

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 ...

UNITECH COMPOSITES INC

Quality Engineer

Hayden, ID · On-site

$69K - $89K/yr

M-F with some weekends Location: Hayden, ID POSITION SUMMARY: The Quality Engineer plans ... Reviews all data obtained during all quality control and quality assurance activities to ensure ...

UNITECH COMPOSITES INC

Quality Engineer

Hayden, ID · On-site

$70K - $90K/yr

M-F with some weekends Location: Hayden, ID POSITION SUMMARY: The Quality Engineer plans ... Reviews all data obtained during all quality control and quality assurance activities to ensure ...

Osmose

Field Data Technician - TX

Boise, ID · On-site

$18.75 - $25.75/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... Home most weekends with occasional out of state assignments which may involve longer stays of up to ...

Osmose

Field Data Technician - MO

Boise, ID · On-site

$18.75 - $25.75/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... Home most weekends with occasional out of state assignments which may involve longer stays of up to ...

Osmose

Field Data Technician - CA

Boise, ID · On-site

$18.75 - $25.75/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... Home most weekends with occasional out of state assignments which may involve longer stays of up to ...

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All JobsWalmart Data Engineer JobsWeekend Walmart Data Engineer JobsWeekend Walmart Data Engineer Jobs in Idaho

Weekend Walmart Data Engineer information

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

AspectWeekend Walmart Data EngineerWeekend Walmart Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData warehouses, cloud platforms, technical teamsBusiness units, reporting tools, cross-functional teams
Employer & Industry UsageRetail industry, Walmart-specific data systemsRetail industry, Walmart sales and customer data analysis

Weekend Walmart Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills and engineering certifications. In contrast, Weekend Walmart Data Analysts interpret data to generate insights, often using statistical tools and reporting software. Both roles are essential in Walmart's data ecosystem but differ in technical depth and daily responsibilities.

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

Weekend Walmart Data Engineer jobs near you
Infographic showing various Weekend Walmart Data Engineer job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 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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