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Data Engineer Manager Jobs in Spokane, WA (NOW HIRING)

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

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 ...

Altek Inc

Engineering Manager

Liberty Lake, WA · On-site

$100K - $120K/yr

Job Title: Engineering Manager Shift: Day Dept.: Engineering Type: Salary Reports to: Chief ... Review customer design data for manufacturability, functionality, quality requirements, and cost ...

ALTEK Inc

Engineering Manager

Liberty Lake, WA

Job Title: Engineering Manager Shift: Day Dept.: Engineering Type: Salary Reports to: Chief ... Review customer design data for manufacturability, functionality, quality requirements, and cost ...

Canonical

Engineering Manager, MAAS

Spokane, WA

We are hiring an Engineering Manager as we expand the MAAS team . Our mission with MAAS ("Metal as ... MAAS aims to revolutionize data center management at scale starting from day zero deployment to ...

Avista

Data Visualization Specialist

Spokane, WA · Hybrid

$32.70 - $59.31/hr

Interact with business units, data owners, data architects, data engineers, other analysts and management teams developing models and recommending phasing of deliverables. Requirements: * AA/BS ...

HEICO

Engineer I-Absolute Aviation

Cheney, WA

Under the direction of the Engineering Manager, create component repair documentation, suitable for FAA and/or airline approval. Create manufacturing data needed to fabricate components, printed ...

Heico

Engineer I-Absolute Aviation

Cheney, WA · On-site

Under the direction of the Engineering Manager, create component repair documentation, suitable for FAA and/or airline approval. Create manufacturing data needed to fabricate components, printed ...

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$45K

$131.2K

$179.5K

How much do data engineer manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer manager 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 does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.
More about Data Engineer Manager jobs
What are the most commonly searched types of Data Engineer jobs in Spokane, WA? The most popular types of Data Engineer jobs in Spokane, WA are:
What are popular job titles related to Data Engineer Manager jobs in Spokane, WA? For Data Engineer Manager jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Spokane, WA look for? The top searched job categories for Data Engineer Manager jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Data Engineer Manager jobs? Cities near Spokane, WA with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Spokane, WA as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 57% Physical, 7% Hybrid, and 36% Remote job distribution, with an average salary of $131,159 per year, or $63.1 per hour.
Senior Data Engineer

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 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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