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Data Engineer Project Jobs in Georgia (NOW HIRING)

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Project Tools: Jira, Zephyr Scale * Familiarity with Agile development and Scrum methodologies

FanDuel

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead projects to build or improve well-scoped data products. Collaborate Across Teams * Work with ... Translate business questions into engineering tasks and contribute to technical planning.

Rubicon

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location: Remote/Hybrid - USA Reports to: Senior Director, Data Department Name ... Strong organizational and project management skills with the ability to manage multiple priorities ...

R2 Technologies Corporation

Azure Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Job Title: Azure data engineer Duration: 12 months Location: Atlanta GA ( Remote) we are looking ... Provide technical direction and engineering support for projects and infrastructure. * Develop and ...

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location: Atlanta GA - Hybrid / / Remote also ok Duration: 12 months ... Collaborate with project stakeholders like database administrators, technical architects, business ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

... project dimensions, solving complex business requirements. • Proactively considers the future ... Data Engineering vision from a strategic perspective, including internal and external platforms ...

Alt

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data ... Autonomy and ownership on projects that matter * $100/month work-from-home stipend * $200/month ...

Mashburn, LLC

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

We are seeking a Data Engineer to join our internal data team and take hands-on ownership of our ... Maintain, extend, and improve an existing dbt project and BigQuery data warehouseDevelop and ...

Mashburn, LLC

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Maintain, extend, and improve an existing dbt project and BigQuery data warehouse * Develop and ... Partner with Power BI developers to ensure datasets support accurate reporting * Contribute to data ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Drive projects to completion while working in an agile environment with evolving requirements in ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Drive projects to completion while working in an agile environment with evolving requirements in ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Drive projects to completion while working in an agile environment with evolving requirements in ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Inspire Brands, Inc.

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

The candidate will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions and perform data ingestion ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

OneDigital

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure ... Personal projects with LLMs, agents, or AI tooling - show us your GitHub Mindset We're Hiring For

OneDigital

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure ... Personal projects with LLMs, agents, or AI tooling - show us your GitHub Mindset We're Hiring For

Pwc

Data Engineer - Senior Manager

Atlanta, GA

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Georgia

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Georgia?

For Data Engineer Project jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Georgia look for?

The top searched job categories for Data Engineer Project jobs in Georgia are:

What cities in Georgia are hiring for Data Engineer Project jobs?

Cities in Georgia with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 7% Part Time, 7% Contract, and 1% Nights. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Engineer 3

4pconsultinginc

Atlanta, GA • On-site

$110K - $132K/yr

Contractor

Re-posted 21 days ago

Job description

Data Engineer 3


Location: Atlanta/ Hybrid
Client- Southern Co Gas Corp

Contract- 1 Year

Position Overview

The Quality Assurance Data Engineer plays a critical role in validating the integrity, reliability, and performance of our enterprise decision-making data platform. This position ensures high-quality data analytics delivery by enforcing standards, executing thorough testing, identifying data-related issues, and supporting continuous improvement throughout the software development lifecycle.

The ideal candidate brings strong analytical skills, exceptional attention to detail, technical proficiency in data testing, and the ability to collaborate effectively across cross-functional Agile teams. This role will require both manual and automated testing across cloud environments, data pipelines, and front-end applications.

Key Responsibilities

  • Develop and execute detailed test strategies, plans, and scripts based on requirements and design specifications

  • Perform functional, regression, integration, and performance testing for data and application workflows

  • Create and maintain testing artifacts including test cases, automation scripts, and test execution results

  • Validate data pipelines, processing logic, ETL/ELT workflows, and data quality rules

  • Collaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standards

  • Identify, log, and track defects using Jira and Zephyr Scale, ensuring timely resolution

  • Support continuous QA improvement, including automation expansion and CI/CD quality gates

  • Participate in Agile ceremonies and contribute to overall delivery planning

  • Advocate and implement data quality best practices and governance standards

  • Support DataBricks and Azure-based testing and quality monitoring workflows

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field

  • Proven QA experience across integrated software and data platforms

  • Experience validating front-end applications and user workflows

  • Strong analytical and problem-solving skills

Technical Skills

  • Testing Tools & QA Frameworks: Tricentis Tosca (preferred), manual testing tools, automated testing frameworks

  • Cloud Platform: Microsoft Azure (Data Engineering ecosystem)

  • Data & Programming: Python, SQL

  • Platform Experience: Azure DataBricks

  • Project Tools: Jira, Zephyr Scale

  • Familiarity with Agile development and Scrum methodologies