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Associate Test Engineer Jobs in Nebraska (NOW HIRING)

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Test all repairs to ensure compliance with documented standards and specifications Supervisory ... Associate in Electronics Engineering, Electrical Engineering Technology, or a related field ...

... tests, documentation, and exposures to improve data quality, observability, and stakeholder ... Associates degree in computer science or a related field of study * A minimum of 3 years of ...

Implement dbt tests, documentation, and exposures to improve data quality, observability, and ... Associates degree in computer science or a related field of study * A minimum of 3 years of ...

Develop a connection base with customers, DOTs, trade associates, architects, engineers and public ... tests. WHAT WE OFFER * Competitive salary * Retirement Savings: Choose from 401(k) pre-tax and/or ...

Showing results 41-60

Associate Test Engineer information

See Nebraska salary details

$39.6K

$78.8K

$125.9K

How much do associate test engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate test engineer in Nebraska is $78,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $90,600.00 per year, depending on experience, location, and employer.

What is an associate test engineer?

An Associate Test Engineer is an entry-level professional who assists in the testing and quality assurance of products, typically in the software or hardware development industries. They are responsible for executing test cases, reporting defects, and supporting senior engineers in identifying issues and ensuring products meet quality standards. This role often involves working closely with development teams to understand product requirements and contribute to creating effective testing strategies.

What are the key skills and qualifications needed to thrive as an associate test engineer?

To thrive as an Associate Test Engineer, you need a solid understanding of software testing principles, basic programming skills, and a relevant degree in engineering or computer science. Familiarity with test management tools like Jira, automation frameworks such as Selenium, and knowledge of scripting languages are typically required. Strong analytical thinking, attention to detail, and effective communication help you excel in identifying issues and collaborating with development teams. These abilities are essential to ensure high-quality products and efficient resolution of defects in fast-paced engineering environments.

What are some common challenges faced by associate test engineers during the transition from manual to automated testing?

Associate Test Engineers often encounter challenges such as learning new automation tools and scripting languages, adapting to rapidly changing project requirements, and ensuring test scripts remain maintainable as the product evolves. Collaboration with developers and senior testers is key to overcoming these hurdles, as is proactively seeking mentorship or training opportunities within the team. Embracing a continuous learning mindset helps new associates effectively bridge the gap between manual and automated testing practices.

What is the difference between Associate Test Engineer vs Test Analyst?

AspectAssociate Test EngineerTest Analyst
Required CredentialsTypically a bachelor's degree in Computer Science or related field; certifications like ISTQB are commonSimilar educational background; ISTQB certification often preferred
Work EnvironmentInvolves manual and automated testing, working closely with development teamsFocuses on testing strategies, test planning, and defect analysis
Employer & Industry UsageUsed across IT, software development, and tech companiesCommon in software firms, quality assurance departments

Both roles require similar educational backgrounds and certifications, with overlapping responsibilities in testing and quality assurance. The Associate Test Engineer often performs hands-on testing, while the Test Analyst emphasizes test planning and analysis. They are integral to software quality processes in tech industries.

What are the most commonly searched types of Test Engineer jobs in Nebraska?

The most popular types of Test Engineer jobs in Nebraska are:

What are popular job titles related to Associate Test Engineer jobs in Nebraska?

For Associate Test Engineer jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Associate Test Engineer jobs in Nebraska look for?

The top searched job categories for Associate Test Engineer jobs in Nebraska are:

What cities in Nebraska are hiring for Associate Test Engineer jobs?

Cities in Nebraska with the most Associate Test Engineer job openings:

Infographic showing various Associate Test Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $78,789 per year, or $37.9 per hour.

$80 - $100/hr

Other

Posted 3 days ago

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Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics-ready datasets that power enterprise reporting, analytics, and business decision-making. This role focuses on building and maintaining well-structured data models using SQL and analytics engineering best practices. The Analytics Engineer sits at the intersection of data engineering and analytics, partnering closely with technical and business stakeholders to ensure data is reliable, well-documented, and scalable.

Data Modeling & Analytics Engineering
  • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts, dimensions).
  • Translate business requirements into clear, well documented data models that are intuitive, performant, and reusable across analytics and BI tools.
  • Own the analytics layer of the data platform, ensuring consistency, clarity, and trust in metrics and definitions.
  • Implement dbt tests, documentation, and exposures to improve data quality, observability, and stakeholder confidence.
  • Partner with analytics, BI, and business teams to define and standardize core metrics and KPIs.
dbt Development & Platform Practices
  • Develop and maintain dbt projects using best practices:
    • Modular, well structured models
    • Version control (Git based workflows)
    • CI/CD and environment promotion patterns
    • Optimize dbt models for performance, cost efficiency, and scalability within the cloud data warehouse.
    • Leverage dbt features such as snapshots, seeds, macros, and packages where appropriate.
  • Participate in code reviews and contribute to shared analytics engineering standards.
Cross Functional Collaboration
  • Collaborate closely with Data Engineers on upstream data ingestion patterns and source system modeling.
  • Work with Analytics, Reporting, and Business stakeholders to ensure data models meet analytical and operational needs.
  • Support BI tools (e.g., Power BI, Tableau, Looker) by providing well designed, analytics ready datasets rather than ad hoc SQL.
Senior Level Expectations
  • Act as a technical leader for analytics engineering and data modeling practices.
  • Influence data modeling standards, naming conventions, and metric definitions across the organization.
  • Mentor junior analytics engineers and analysts.
  • Partner with platform leadership on analytics architecture, governance, and roadmap planning.
Preferred Qualifications
  • Advanced proficiency in SQL for analytics, data modeling, and validation.
  • Experience designing dimensional data models (facts, dimensions, marts, star schemas).
  • Experience using dbt for analytics engineering, including testing and documentation.
  • Familiarity with cloud-based data warehouses such as Snowflake.
  • Experience with Git-based version control workflows.
  • Exposure to enterprise BI tools such as Power BI, Tableau, or Looker.
  • Experience supporting or building standardized metrics and KPI frameworks.
  • Prior experience helping organizations mature from ad hoc analytics to modeled, metrics-driven analytics.
Required Qualifications
  • Associates degree in computer science or a related field of study
  • A minimum of 3 years of experience in software development
  • Demonstrated analytical thinking and problem-solving skills
  • Demonstrated ability to work across teams
  • Experience interpreting business requirements, functional specs and test scripts
  • Intermediate Microsoft Excel and Word skills

At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employer. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.

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