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Senior Data Engineer 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 ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform ...

URM Stores Inc.

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

URM Stores, Inc . is looking for a Data Integrations Lead , to be the senior hands-on technical ... Platform Engineering: * Build and support integrations using Boomi, Azure Integration Services ...

H2E Inc.

Senior Power Engineer

Liberty Lake, WA

$100K - $139K/yr

Senior Power Engineer ID: 1090 Location: Liberty Lake, WA. Department: Engineering More about this ... Travel to client/customer sites for data collection and to lead startup and commissioning ...

URM Stores Inc

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Description URM Stores, Inc . is looking for a Data Integrations Lead , to be the senior hands-on ... Platform Engineering: * Build and support integrations using Boomi, Azure Integration Services ...

Enverus

Sr Software Engineer

Spokane, WA · On-site

$123K - $163K/yr

Description Senior Software Engineer Why YOU want this position At Enverus, we're committed to ... Design and maintain complex and high-throughput data ingestion and processing pipelines * Take ...

drillinginfo

Sr Software Engineer

Spokane, WA · On-site

$123K - $163K/yr

Description Senior Software Engineer Why YOU want this position At Enverus, we're committed to ... Design and maintain complex and high-throughput data ingestion and processing pipelines * Take ...

Protingent

Senior Electrical Engineer / Analyst

ID · On-site

$150K - $195K/yr

Position Title: Sr. Electrical Engineer / Analyst (Power & Transmission) Position Description ... data centers. * Compliance & Interconnection: Navigate ISO/RTO interconnection processes while ...

Solstice Advanced Materials, Inc.

Sr HSE Engineer

Spokane, WA · On-site

$92K - $113K/yr

As a Sr. HSE Engineer at Solstice Advanced Materials, you will play a critical role in shaping and ... Establish data quality, validation, and documentation practices to support customer disclosures ...

Positron AI

Sr Software Engineer

Liberty Lake, WA · On-site

$123K - $162K/yr

... Senior Software Engineer to contribute to the development of high-performance software for ... collaborating with engineers to ensure efficient data movement between CPUs and FPGAs.

Itron, Inc

Senior Software Engineer

Liberty Lake, WA · On-site

$120K - $158K/yr

Temetra is Itron's next-generation meter data collection and management platform, enabling ... About the PositionItron is seeking a passionate and experienced Senior Software Engineer to join ...

ROI Agency

Sr. Geotechnical Engineer

Spokane, WA · On-site

$130K - $150K/yr

Review billing data prior to issuance of final invoices to clients. * Perform project file ... The Senior Geotechnical Engineer will be a mentor to other junior geotechnical staff and may ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Spokane, WA

Senior Data Engineer information

See Spokane, WA salary details

$81.9K

$127.7K

$176.9K

How much do senior data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data engineer in Spokane, WA is $127,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $145,600.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
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 Senior Data Engineer jobs in Spokane, WA? For Senior Data Engineer jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Spokane, WA look for? The top searched job categories for Senior Data Engineer jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Senior Data Engineer jobs? Cities near Spokane, WA with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Spokane, WA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $127,733 per year, or $61.4 per hour.

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 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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