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Big Jobs in Georgia (NOW HIRING)

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to ...

Arete Technologies, Inc.

Big Data Hadoop

Atlanta, GA

Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in batch and near real-time), egestion and governance. Participate in collaborative software and system ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Design, development, and support delivery of solutions on Hadoop and Aster Big Data platforms. Work in a fast-paced agile development environment to quickly analyze, develop, and test potential use ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

  • Medical

  • Dental

  • Vision

  • PTO

Overview: Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of Positions: 1 Client is a leading provider of platforms, digital innovation, artificial ...

krg technology inc

Sr. Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Years of Experience - 7+ Mandatory Skills - Java, Oracle, SQL , Green Plum Good Communication skill, Onsite experience Senior Big Data Technology Developer will be responsible for technically leading ...

R2 Technologies Corporation

Big Data Developer- Q123

Alpharetta, GA · On-site

$54.50 - $72/hr

  • Medical

  • Dental

  • Vision

  • PTO

R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) ...

US Corp2Corp

Big Data Architect

Atlanta, GA

$61.25 - $78.75/hr

Big Data Architect Duration: 6+ months Location: Atlanta, GA, 30305 Must have extensive experience with Hadoop, Spark, and Python! Great communication is required, these Architects will be ...

R2 Technologies Corporation

Big Data Developer- Q123

Alpharetta, GA · On-site

$51.75 - $67/hr

  • Medical

  • Dental

  • Vision

  • PTO

R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) ...

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Showing results 1-20

All JobsBig JobsBig Jobs in Georgia

Big information

See Georgia salary details

$15.2K

$83.2K

$152.1K

How much do big jobs pay per year?

As of Aug 16, 2026, the average yearly pay for big in Georgia is $83,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,793.00 and $112,429.00 per year, depending on experience, location, and employer.

What is the difference between Big vs Small?

AspectBigSmall
Company SizeLarge corporations with thousands of employeesSmall businesses or startups with fewer than 50 employees
Work EnvironmentStructured, hierarchical, formal policiesFlexible, informal, collaborative
Required CredentialsOften higher or specialized certificationsFewer formal credentials needed, more on-the-job training
Industry UsageCommon in finance, tech, manufacturingPrevalent in creative, local services, startups

Big companies typically offer structured environments, formal policies, and often require advanced credentials. Small companies tend to be more flexible, informal, and may prioritize practical experience over formal certifications. The choice depends on your preferred work environment and career goals.

What are some common challenges faced by big data engineers when managing large-scale data pipelines?

Big Data Engineers often encounter challenges such as ensuring data quality and consistency across distributed systems, optimizing data pipeline performance to handle massive data volumes, and maintaining data security and compliance. They also need to troubleshoot complex issues that arise with real-time data processing and integration from multiple sources. Collaborating closely with data scientists, analysts, and IT teams is essential to design scalable solutions that meet business needs.

What is a big data engineer?

Big Data Engineers are IT professionals who design, build, and maintain systems that process large volumes of data. They create the architecture and pipelines required to collect, store, and analyze data efficiently, often working with technologies like Hadoop, Spark, and NoSQL databases. Their work enables organizations to derive valuable insights from massive datasets, supporting data-driven decision-making and advanced analytics.

What are the key skills and qualifications needed to thrive as a big data engineer?

To thrive as a Big Data Engineer, you need a strong background in computer science, data modeling, and programming languages like Python, Java, or Scala, often supported by a relevant degree. Proficiency with big data frameworks (such as Hadoop and Spark), cloud platforms, and database systems is essential, along with certifications like AWS Certified Big Data or Cloudera Certified Professional. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills for tackling complex data challenges and working in diverse teams. These skills ensure efficient data processing, reliable infrastructure, and actionable insights that drive business value.

What cities in Georgia are hiring for Big jobs?

Cities in Georgia with the most Big job openings:

Big jobs near you
Infographic showing various Big job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $83,158 per year, or $40 per hour.

Big Data Developer

Tror AI for everyone

Atlanta, GA • On-site

$51 - $66/hr

Contractor

Re-posted 5 days ago

Job description

Job Title: Big Data Developer

Location: Georgia (GA)
Work Authorization: Only USC / GC
Experience: 8+ Years
 

Job Summary

We are seeking an experienced Big Data Developer with strong expertise in Google Cloud Platform (GCP), Dataflow, and modern Big Data technologies. The ideal candidate will design, develop, and ptimize scalable data pipelines and processing frameworks to support enterprise analytics and data-driven applications.

Key Responsibilities

  • Design, build, and maintain scalable Big Data pipelines using GCP services.
  • Develop and manage batch and streaming data processing using Dataflow / Apache Beam.
  • Work with BigQuery, Cloud Storage, Pub/Sub, and Dataproc for end-to-end data solutions.
  • Optimize data processing performance, reliability, and cost efficiency in GCP.
  • Collaborate with data architects, analysts, and application teams to deliver data solutions.
  • Implement data quality, validation, and monitoring mechanisms.
  • Support production deployments, troubleshooting, and performance tuning.
  • Follow best practices for security, governance, and compliance in cloud environments.

Required Skills

  • Strong hands-on experience in Big Data development (8+ years).
  • Expertise in GCP services – Dataflow, BigQuery, Pub/Sub, Cloud Storage, Dataproc.
  • Experience with Apache Beam, Spark, or Hadoop ecosystem.
  • Proficiency in Java, Python, or Scala.
  • Solid understanding of ETL/ELT, data modeling, and distributed systems.
  • Experience with CI/CD, Git, and cloud deployment practices.
  • Strong problem-solving and debugging skills

Preferred Qualifications

  • Experience with real-time streaming architectures.
  • Knowledge of Data governance, security, and IAM in GCP.
  • Familiarity with containerization or orchestration tools (Docker, Kubernetes).
  • Prior experience working in enterprise or large-scale data environments.