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Big Query Jobs in Atlanta, GA (NOW HIRING)

Java Developer

Atlanta, GA ยท On-site

$49 - $63.50/hr

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

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

Adobe AEP Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Skills required: strong proficiency in SQL, Python/Scala, ETL/ELT frameworks, APIs, and cloud platforms (Google Cloud Platform-Big Query), along with hands-on experience in AEP components, XDM schema ...

Lead Data Engineer

Alpharetta, GA ยท On-site +1

$100K - $131K/yr

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

... Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 www.polarits.com ...

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Write efficient code to extract, transform, load, and query very large datasets, including unstructured data. Develop standards and new design patterns for Big Data applications. Understand MapReduce ...

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Big Query information

See Atlanta, GA salary details

$41.4K

$44.2K

$46.6K

How much do big query jobs pay per year?

As of Jul 27, 2026, the average yearly pay for big query in Atlanta, GA is $44,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $44,200.00 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.

What job categories do people searching Big Query jobs in Atlanta, GA look for? The top searched job categories for Big Query jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Big Query jobs? Cities near Atlanta, GA with the most Big Query job openings:
Infographic showing various Big Query job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,232 per year, or $21.3 per hour.
Java Developer

Java Developer

Factspan Inc

Atlanta, GA โ€ข On-site

$49 - $63.50/hr

Other

Posted 25 days ago


Job description

Job Title: Java Developer + Data Engineer โ€“ Onsite (Spring Boot / Java / Google Cloud Platform / Airflow / SQL / Python)
Location: Atlanta (Onsite)
Experience: 8-10 years
Employment Type: Full Time

About the Project
This role is part of the MarTech Data Engineering POD supporting a Client Facing Java based Spring Boot application. The initiative aims to build a scalable data warehouse solution which aggregates, transforms and loads sales data into MongoDB from Big Query with the help of Airflow and Dataflow. Finally, publish data with the help of Spring Boot application.

Must have:

Tech: Java, Spring Boot, Google Cloud Platform, Big Query, SQL, Python, Airflow, Apache Beam

Key Responsibilities:

  • Design and develop data ingestion, transformation, and orchestration pipelines using Google Cloud Platform (BigQuery, Dataflow, Cloud Composer) and Airflow.
  • Implement and maintain data integrations between MongoDB and Big Query, ensuring high performance and scalability.
  • Build and optimize ETL/ELT workflows to support data orchestration, transformation and warehousing.
  • Implement data quality checks, monitoring, and exception handling frameworks to ensure clean and reliable data.
  • Work closely with Lead DE and SME to translate Requirements into data pipelines and orchestration rules.
  • Support performance tuning, data reconciliation, and defect resolution during testing and hypercare phases.
  • Collaborate with QA team for end-to-end test validation and ensure production readiness.
  • Participate in daily Agile ceremonies, sprint reviews, and deployment planning.

Required Technical Skills:

  • Must have expertise in Java based Spring Boot Application.
  • Strong hands-on experience in Google Cloud Platform services: BigQuery, Dataflow, GCS, Cloud Composer (Airflow).
  • Proficiency in SQL for data profiling, transformation, and performance optimization.
  • Proficiency in Python for pipeline automation, scripting, and orchestration.
  • Experience building batch and streaming data pipelines.
  • Exposure to working with marketing or customer engagement platforms is a plus.
  • Understanding data quality, logging, monitoring, and alerting best practices.

.Education:

Bachelorโ€™s or Masterโ€™s degree in Computer Science, Information Technology, or a related field.