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Data Engineer Entry Level Jobs in Pullman, WA (NOW HIRING)

This is an entry-level opportunity for a motivated engineer looking to gain hands-on experience in ... Understanding of software development principles, data structures, algorithms, and object-oriented ...

New

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Foundational knowledge of APIs, SQL, and cloud data environments. Experience with programming ...

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Foundational knowledge of APIs, SQL, and cloud data environments. Experience with programming ...

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Foundational knowledge of APIs, SQL, and cloud data environments. Experience with programming ...

Data Engineer Entry Level information

See Pullman, WA salary details

$43.5K

$126.7K

$173.4K

How much do data engineer entry level jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer entry level in Pullman, WA is $126,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,300.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Pullman, WA?

The most popular types of Data Engineer jobs in Pullman, WA are:

What cities near Pullman, WA are hiring for Data Engineer Entry Level jobs?

Cities near Pullman, WA with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Pullman, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,738 per year, or $60.9 per hour.

Associate Software Engineer - 1074

Moscow, ID • On-site

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

As an Associate Software Engineer, you will support the development, testing, and maintenance of Lightcast's software solutions while building your technical expertise alongside experienced engineers. This role will focus on maintaining and expanding Lightcast's new marketing website, collaborating with team members around the world to create a premium web experience for current and prospective customers. This is an entry-level opportunity for a motivated engineer looking to gain hands-on experience in a collaborative, fast-paced environment.
Major Responsibilities:
  • Collaborate with software engineers to design, develop, test, and maintain software applications

  • Develop features and functionality based on project requirements and technical specifications

  • Maintain and enhance Lightcast's marketing website to deliver a high-quality customer experience

  • Participate in code reviews to support code quality, maintainability, and established coding standards

  • Troubleshoot and debug software issues

  • Learn and apply relevant programming languages, frameworks, tools, and development practices

  • Collaborate with team members across functions and global locations to deliver software projects

Education and Experience:
  • 0–2 years of professional software development experience

  • Bachelor's degree in Computer Science, Software Engineering, or a related field preferred

  • Experience with TypeScript or JavaScript, React.js/Next.js, Tailwind CSS or CSS, and HTML

  • Familiarity with GitLab or GitHub, CI/CD practices, and Agile methodologies

  • Understanding of software development principles, data structures, algorithms, and object-oriented programming concepts

  • Proficiency in one or more programming languages such as Java, C++, Python, or JavaScript

  • Familiarity with development tools and environments, including IDEs, version control, and bug-tracking systems

  • Strong written and verbal communication skills

  • Ability and willingness to learn new technologies, programming languages, and development practices

  • Internship experience, relevant coursework, or personal coding projects preferred

Lightcast is a global leader in labor market insights, with headquarters in Moscow, ID (US) and offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
 
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.