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Data Developer 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 ...

APCO Holdings

Senior Data Developer

Norcross, GA

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

APCO Holdings

Senior Data Developer

Norcross, GA · On-site

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

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 ...

Geotab

Data Operations Developer

Atlanta, GA · On-site

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance.

Home Depot

Senior Developer, Item Data

Atlanta, GA · On-site

The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product information, architecting robust data pipelines and sophisticated data models that ensure a reliable ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

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Data Developer information

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$44

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How much do data developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for data developer in Georgia is $44.85, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $50.72 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Data Developer, and why are they important?

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
What are popular job titles related to Data Developer jobs in Georgia? For Data Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Georgia look for? The top searched job categories for Data Developer jobs in Georgia are:
What are popular job titles related to Data Developer jobs in GA? For Data Developer jobs in GA, the most frequently searched job titles are:
Data Developer jobs near you
Infographic showing various Data Developer job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,295 per year, or $44.9 per hour.

Big Data Developer

Tror AI for everyone

Atlanta, GA • On-site

$51 - $66/hr

Contractor

Re-posted 27 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.