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Contract Google Test Engineer Jobs in Romeoville, IL

Tech Tammina LLC

SDET Level 4

Chicago, IL · On-site

$51.50 - $66.50/hr

Chicago, IL (Hybrid) Duration : 12-month contract Position's Contributions to Work Group : * AKA Senior SDET Extend testing automation framework using JAVA/JAVA Script * Take ownership in ...

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All JobsContract Google Test Engineer JobsContract Google Test Engineer Jobs in Romeoville, IL

Contract Google Test Engineer information

See Romeoville, IL salary details

$18

$45

$76

How much do contract google test engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for contract google test engineer in Romeoville, IL is $45.11, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $53.41 per hour, depending on experience, location, and employer.

What is a contract Google test engineer?

A Contract Google Test Engineer is a quality assurance professional hired on a temporary or project basis to test software products, systems, or features at Google. Their primary responsibilities include designing test plans, identifying bugs, and collaborating with developers to ensure products meet Google's quality standards. They often use automated and manual testing methods, and may specialize in areas such as web applications, mobile apps, or cloud services. Contract roles can vary in duration and typically require strong technical skills and experience with testing frameworks.

What are the key skills and qualifications needed to thrive as a contract Google test engineer, and why are they important?

To thrive as a Contract Google Test Engineer, you need strong proficiency in software testing methodologies, programming skills (often in Python, Java, or C++), and a solid understanding of test automation, typically supported by a relevant technical degree. Familiarity with Google's testing frameworks, automated testing tools like Selenium or Appium, and continuous integration systems such as Jenkins is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set top candidates apart in this role. These skills ensure reliable product quality, efficient defect identification, and smooth collaboration within dynamic engineering teams.

What are some common challenges faced by contract Google test engineers, and how can they be addressed?

Contract Google Test Engineers often encounter challenges such as quickly adapting to complex codebases, understanding evolving project requirements, and coordinating with cross-functional teams. Since contracts are typically short-term, efficient onboarding and proactive communication are crucial for success. Building strong relationships with development and product teams helps clarify expectations and ensures timely resolution of issues. Utilizing comprehensive documentation and automated testing tools can also streamline the testing process and improve productivity.

What is the difference between Contract Google Test Engineer vs Contract Software QA Tester?

AspectContract Google Test EngineerContract Software QA Tester
CredentialsKnowledge of testing frameworks, scripting, and Google testing toolsGeneral QA certifications, testing methodologies, and tools
Work EnvironmentTech companies, software development teams, often in cloud or online servicesVaried industries, including tech, finance, healthcare, with diverse testing environments
Employer & Industry UsagePrimarily in tech firms, especially those using Google Cloud or productsAcross multiple industries requiring software quality assurance

Contract Google Test Engineers focus on testing Google products and cloud services, often requiring familiarity with Google testing tools and scripting. Contract Software QA Testers have broader roles across industries, emphasizing general testing skills. Both roles involve ensuring software quality but differ in specific tools and industry focus.

What job categories do people searching Contract Google Test Engineer jobs in Romeoville, IL look for?

The top searched job categories for Contract Google Test Engineer jobs in Romeoville, IL are:

Contract Google Test Engineer jobs near you
Infographic showing various Contract Google Test Engineer job openings in Romeoville, IL as of August 2026, with employment types broken down into 46% Full Time, 5% Temporary, and 49% Contract. Highlights an 78% In-person, 5% Hybrid, and 17% Remote job distribution, with an average salary of $93,832 per year, or $45.1 per hour.

Google Cloud Platform Data Engineer

CoSourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 4 days ago

Job description

Job Title: Google Cloud Platform Data Engineer
Duration: 6 months Contract to hire
Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S.
Role Overview
We are seeking a highly skilled Google Cloud Platform Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using Google Cloud Platformnative services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.

Development & Coding
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.

Data Quality, Observability & Reliability
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.

ETL/ELT Modernization
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to Google Cloud Platform-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.

Collaboration & Stakeholder Engagement
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.

Best Practices & Governance
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform) services:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.

Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.

Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability

Apply