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Data Programmer Jobs in Atlanta, GA (NOW HIRING)

AMB Sports + Entertainment

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer As a Data Engineer, you will own key parts of the pipeline lifecycle--from ingesting source data through transformation, testing, and publishing trusted datasets for downstream ...

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

AMB Sports & Entertainment, LLC

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

AEG

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

iVoyant

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The Data Engineers will work with the client functional SMEs within the Digital and the Business team to understand the requirements and prepare technical design. They will ensure the availability ...

Kasmo Global

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

Job Title - Data Engineer Duration - Contract Location - Dallas, TX Only Local Note: Second round interviews will be in person In Client : LTI M/Delta Airlines. Top 3 Mandatory Skills and Experience:

Staffworxs Inc

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Opportunity At Staffworxs, we don't just connect talent -- we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep ...

Diverse Lynx

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Role - Data Engineer Location - Atlanta, GA (Onsite) Exp need - 6+ years Responsibilities: * Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and ...

Furniture.com

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

They are seeking a Data Engineer to join their data engineering team, responsible for developing scalable data products and collaborating with various stakeholders. Responsibilities : • Own a ...

New

Equifax, Inc.

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions ...

Equifax

Data Engineer

Alpharetta, GA · Hybrid

$111.80K - $134.20K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements ...

Apollo ITS

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Location: Atlanta, GA(Hybrid) Duration: 8+ months Note: * Must be physically located in Georgia * On-site: Tuesday to Thursday (per manager's discretion) * Mandatory in-person meetings:

STEMtech

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · Hybrid

$110.10K - $132.20K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Tata Consultancy Services

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

ACI Infotech

Data Engineer

Atlanta, GA · Hybrid

$110.10K - $132.20K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

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Data Programmer information

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$15

$27

$45

How much do data programmer jobs pay per hour?

As of May 28, 2026, the average hourly pay for data programmer in Atlanta, GA is $27.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $28.65 per hour, depending on experience, location, and employer.

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

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

Is it hard to get a job as a data analyst?

Securing a job as a data analyst can be competitive and typically requires strong skills in data analysis tools like Excel, SQL, and visualization software, along with relevant education or certifications. Building a solid portfolio and gaining experience through internships or projects can improve job prospects in this field.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Data Programmer jobs in Atlanta, GA? For Data Programmer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Programmer jobs in Atlanta, GA look for? The top searched job categories for Data Programmer jobs in Atlanta, GA are:
Data Programmer jobs near you
Infographic showing various Data Programmer job openings in Atlanta, GA as of May 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, 4% Part Time, 1% Temporary, 15% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $56,292 per year, or $27.1 per hour.
Data Engineer

Data Engineer

AMB Sports + Entertainment

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

As a Data Engineer, you will own key parts of the pipeline lifecycle—from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.

Responsibilities:
  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
  • Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation
  • Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
  • Build and deploy serverless data solutions using Azure Functions for event-driven processing and microservice integrations
  • Design and implement data orchestration workflows using platforms such as Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
  • Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps)
  • Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
  • Implement data quality frameworks, monitoring, and alerting to ensure data integrity and reliability across the platform
  • Contribute to the evolution of the data platform architecture, advocating for best practices in performance, security, and scalability
  • Participate in code reviews to uphold engineering standards
Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience)
  • 3+ years of professional experience in data engineering or a related discipline
  • Strong relational database experience, including data modeling (star schema, snowflake schema, 3NF) and advanced SQL development (T-SQL, PL/SQL, or equivalent)
  • Proficiency in Python development for data engineering use cases (pandas, PySpark, API development, scripting, testing)
  • Hands-on experience with Databricks or Snowflake for data lakehouse/warehouse architecture and large-scale data processing
  • Experience building and deploying Azure Functions or similar serverless compute for data workflows
  • Working knowledge of Git-based platforms such as GitHub or Azure DevOps for version control, branching strategies, and CI/CD pipelines
  • Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline scheduling, monitoring, and dependency management
  • Strong understanding of data warehousing concepts, ETL/ELT patterns, and data integration best practices
  • Excellent communication and collaboration skills with the ability to work cross-functionally in a fast-paced environment
Preferred Qualifications:
  • Industry certifications demonstrating proficiency in data engineering (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer Associate)
  • Experience with a major cloud platform (Azure, AWS, or GCP) including infrastructure-as-code and cloud-native data services
  • Prior experience in sports, entertainment, media, or live events industries
  • Familiarity with streaming and real-time data technologies (Kafka, Event Hubs, Spark Structured Streaming)
  • Experience with data governance, cataloging, and lineage tools (Unity Catalog, Purview, Collibra)
  • Exposure to machine learning pipelines and MLOps practices
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.

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