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Data Engineering Jobs in Post Falls, ID (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

This is hands-on engineering position requiring the ability evaluate execution layer code. Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

This is hands-on engineering position requiring the ability evaluate execution layer code. Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior ...

Bespoke Labs

Data Engineer

Coeur D Alene, ID · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Spokane, WA · On-site

$115K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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 ...

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 ...

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 ...

URM Stores, Inc.

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Job Type Full-time Description URM Stores, Inc . is looking for a Data Integrations Lead , to be ... Platform Engineering: * Build and support integrations using Boomi, Azure Integration Services ...

URM Stores Inc

Data Integrations Manager

Spokane, WA

$125K - $130K/yr

Description URM Stores, Inc . is looking for a Data Integrations Manager to lead URM's enterprise ... Lead, coach, and develop integration developers, engineers, contractors, and offshore resources.

URM Stores Inc.

Data Integrations Manager

Spokane, WA · On-site

$125K - $130K/yr

URM Stores, Inc . is looking for a Data Integrations Manager to lead URM's enterprise-wide data ... People and Vendor Leadership: • Lead, coach, and develop integration developers, engineers ...

URM Stores, Inc.

Data Integrations Manager

Spokane, WA · On-site

$125K - $130K/yr

Job Type Full-time Description URM Stores, Inc . is looking for a Data Integrations Manager to lead ... People and Vendor Leadership: • Lead, coach, and develop integration developers, engineers ...

BuyWander

VP of Data & AI

Spokane, WA · On-site

$185/hr

Think: • Entertainment meets eCommerce • Treasure hunting meets Black Friday • Physical supply chain meets Data Engineering_____ THE ROLE We are hiring our first Head of Data & AI . You will ...

Element Materials Technology

Data Processor

Spokane, WA · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

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Data Engineering information

See Post Falls, ID salary details

$45.1K

$162K

$239K

How much do data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineering in Post Falls, ID is $161,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $166,800.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are popular job titles related to Data Engineering jobs in Post Falls, ID? For Data Engineering jobs in Post Falls, ID, the most frequently searched job titles are:
What cities near Post Falls, ID are hiring for Data Engineering jobs? Cities near Post Falls, ID with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Post Falls, ID as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $161,958 per year, or $77.9 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Re-posted 7 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


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 strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

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