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Big Query Jobs (NOW HIRING)

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Understand relationship between GCP products well - Primarily Data Fusion, Big Query and Looker, and demonstrate experience in Data Fusion [comparable ETL acceptable] and Google Big Query [Comparable ...

Factspan Inc

Java Developer

Atlanta, GA

$49 - $63.50/hr

Must have: Tech: Java, Spring Boot, Google Cloud Platform, Big Query, SQL, Python, Airflow, Apache Beam Domain: MarTech, Retail Key Responsibilities: * Design and develop data ingestion ...

Applied Systems Canada

Canada External Job Ad Amazing Career Moments Happen Here       Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ...

Redolent, Inc.

Senior Data Engineer (Java/Spark)

Sunnyvale, CA · On-site

$65.50 - $86.50/hr

You have experience with Trino, Big Query , Apache Pinot * You have experience with data integration tools like Automic, or Airflow * You are experienced in public cloud computing platforms (e.g ...

Factspan Inc

Data Scientist

Atlanta, GA

Python, ML concepts, good with coding, Google Cloud Platform (Big Query, Vertex.AI) * Excellent communication skills: * Candidate needs to drive the discussion with consumers (merchant, buyers and ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... GCP big query, or Alteryx. 5. Designing Data Pipeline Architectures (ETL/ELT) to ensure efficient data flow and integration using tools including GCP big query, astronomer airflow, terraform, or ...

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How much do big query jobs pay per year?

As of Jun 8, 2026, the average yearly pay for big query in the United States is $45,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $46,000.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

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

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

More about Big Query jobs
What cities are hiring for Big Query jobs? Cities with the most Big Query job openings:
What states have the most Big Query jobs? States with the most job openings for Big Query jobs include:
What job categories do people searching Big Query jobs look for? The top searched job categories for Big Query jobs are:
Big Query jobs near you
Infographic showing various Big Query job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 11% As Needed, 78% Full Time, 3% Part Time, 2% Temporary, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $45,995 per year, or $22.1 per hour.
Sr. Data Engineer

Sr. Data Engineer

NAVA Software Solutions

Washington, DC • On-site

$129K - $156K/yr

Contractor

Posted 17 days ago

Job description

NAVA Software solutions is looking for a Sr. Data Engineer.
Details:
Sr. Data Engineer
Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok
Duration: 6-12 months
Position Summary
The incumbent in this position will be part of the Data Science and Engineering Technologies team and will be filling in for a data engineer must be able to analyze, design, develop, integrate, run, and support various GCP ETL and Data related jobs from ETL, Data Warehouse to across multiple technologies and architectures involving various technologies including application servers, databases, logs, APIs for external data sources and operating systems.
This position will be required to:
  • Work with Business Owners, Data and Business Intelligence teams [On Looker/Tableau etc] to identify requirement on new and existing data sources and implement ETL logics from various different types of interfaces that we extract from - APIs, Web Services, Databases, external and On-Prem databases and warehouses.
  • Work with business users and technical designers to assist in efficient data model designs that meet business unit requirements involving integrations of various ACS technical data from systems and platforms.
  • Work with management, project managers and other lead developers to design and develop pipelines and ensure data accuracies.
  • Lead and participate in troubleshooting and fixing major system problems in core data systems and supplemental data pipelines as well.
  • Understand relationship between GCP products well - Primarily Data Fusion, Big Query and Looker, and demonstrate experience in Data Fusion [comparable ETL acceptable]
    and Google Big Query [Comparable DW acceptable].
  • Provide strong leadership and mentoring for less senior personnel in the areas of design, implementation, and professional development.
  • Where required, effectively delegate tasks to development teams of Software
    Engineering, providing guidance and proper knowledge transfer to ensure that the work is completed successfully.
  • Be flexible to work during non-Business hours.

The ideal candidate will:
  • Have experience with Data Fusion or Equivalent, Big Query or Equivalent, SQL server, scripting in Java/Python that works well in GCP products, and their respective practices.
  • Python experience is a plus.
  • Develop data ETL pipelines that meets both the functional and non-functional requirements, including performance, scalability, availability, reliability and security.
  • Have experience with writing code in Java, in order to work on data extracts that require cleanup.
  • Have a working knowledge of XML, JSON and other forms of data streaming artifacts and related technologies in a Java/Python environment.
  • Have strong written and verbal communication skills
  • Able to multi task on various streams of the entire data process.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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