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Data Engineer Project Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA

$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

Online Data Engineer Manager

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Drive team's results and celebrate accomplishments. * 25% - Project Management & Team Support ...

Civil Engineer Project Manager - Mission Critical Site Development Company Name: Silverman & Light ... Data Centers, Mission Critical Facilities, and Advanced Infrastructure Work Setting: Hybrid (Monday ...

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Working on projects that provide real-time and historical analysis, decision support, predictive ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead Data Engineering Specialist **Location: Atlanta, GA (Hybrid) **Responsibilities:** - Shape ... project outcomes. - Strong problem-solving abilities and adaptability in fast-paced environments.

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead Data Engineer **Location: Atlanta, GA (Hybrid) **Mode: FullTime **Note: Only USC and GC can ... project outcomes. - Strong problem-solving abilities and adaptability in fast-paced environments.

Delivery & Execution • Deliver assigned data engineering tasks aligned to project priorities and timelines. • Collaborate with team members to understand tasks, deliverables, and expectations ...

Delivery & Execution • Deliver assigned data engineering tasks aligned to project priorities and timelines. • Collaborate with team members to understand tasks, deliverables, and expectations ...

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Prepare reports, updates and/or presentations related to progress made on a project or solution;

_____ Civil Engineer Project Manager - Mission Critical Site Development Company Name: Silverman & Light ... Data Centers, Mission Critical Facilities, and Advanced Infrastructure Work Setting: Hybrid (Monday ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of ... Serve as a trusted technical advisor to project leadership and client stakeholders. * Role is ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Experience working on analytics projects with Agile and Scrum Methodologies US PERSON REQUIREMENTS

_____ Civil Engineer Project Manager - Mission Critical Site Development Company Name: Silverman & Light ... Data Centers, Mission Critical Facilities, and Advanced Infrastructure Work Setting: Hybrid (Monday ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Experience working on analytics projects with Agile and Scrum Methodologies US PERSON REQUIREMENTS

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

We Are Looking For Candidates With, We are looking for a Big Data Engineer to significantly contribute to identifying best-fit architectural solutions for one or more projects. You will collaborate ...

PCA Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are a leading construction company committed to delivering high-quality, innovative projects ... We are looking for a talented Data Engineer to join our team and contribute to developing robust ...

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Basic understanding of relational databases and data querying concepts.

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

Showing results 41-60

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 cities in Georgia are hiring for Data Engineer Project jobs?

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

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.

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago


OneDigital rating

6.8

Company rating: 6.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

268th of 311 rated insurance


Job description

No other company in our industry is supercharging the way they work and serve their clients like OneDigital. Fresh thinking has always been the core of OneDigital's vision and growth strategy. It's how we stand out in our industry, it's how we stay competitive and resilient in a changing world. Most importantly, our innovative approach is helping more people do their best work and live their best lives. Innovation fuels our employee experience by making it easier to do your best work anytime, anywhere and from any device. And our tech-based products for clients are a game changer in our industry. If you thrive on change and innovation, OneDigital is the career choice for you.

Our Newest Opportunity:

We're building a modern, AI-native data engineering function on Azure + Snowflake, where AI coding agents are first-class contributors to the dev workflow. You'll join a small team owning the full data lifecycle - ingestion, modeling, governance - and ship production pipelines from day one. This is a great seat for someone early in their career who wants to grow fast in an environment where AI tooling is the default, not an afterthought.

We're optimizing for learning velocity over years of experience. If you have 0-2+ years and a strong foundation, you're in scope.

What You'll Do

  • Build and maintain ingestion pipelines into Snowflake from a range of source systems (Dataverse, SQL Server, APIs, files) using Azure Data Factory
  • Develop transformation logic in Snowflake following a medallion architecture (bronze silver gold), using Coalesce for orchestrated SQL transformations
  • Write Python for orchestration, automation, custom connectors, and lightweight services
  • Partner with AI coding agents (GitHub Copilot, Claude Code, Cortex) as part of your daily workflow - you're expected to be effective at directing them, not just using autocomplete
  • Apply data governance and lineage standards through Atlan
  • Participate in code reviews, CI/CD via Azure DevOps, and on-call rotations for production pipelines
  • Contribute to internal documentation and runbooks

Required Skills

  • Python- comfortable writing clean, modular code; familiar with pandas, requests, basic OOP, virtualenvs/uv
  • SQL- strong fundamentals (joins, window functions, CTEs, query optimization)
  • Azure Data Factory- hands-on pipeline development, parameterization, triggers, linked services
  • Azure services- working knowledge of Storage (Blob/ADLS), Key Vault, DevOps (pipelines, repos)
  • Snowflake- has built or contributed to real warehouses; understands warehouses, roles, micro-partitions
  • Source control- Git workflows, PRs, branching

AI / Agentic Skills (Required at conceptual level)

You don't need to have shipped LLM apps in production, but you should be conversant in:

  • AI coding agents- used Copilot, Cursor, Claude Code, or equivalent for real work (not just demos)
  • LLMs- understand prompting, context windows, tool use / function calling, structured outputs
  • RAG- know what it is, when to use it, the basic architecture (embeddings, vector store, retrieval, generation)
  • MCP (Model Context Protocol)- bonus if you've used it, but willingness to learn quickly is required; we use Atlan MCP and Snowflake MCP

Nice to Have

  • Coalesce, dbt, or another transformation framework
  • Experience with Dataverse / Dynamics 365 / Power Platform data sources
  • Atlan or another data catalog/governance tool
  • CI/CD experience with Azure DevOps YAML pipelines
  • Exposure to vector databases (Pinecone, Weaviate, pgvector, Snowflake Cortex)
  • Personal projects with LLMs, agents, or AI tooling - show us your GitHub

Mindset We're Hiring For

  • Learning mindset.Tooling will change every 6 months. We need someone who's energized by that, not exhausted by it.
  • Bias to ship.Pragmatic over perfect. Get it working, get it reviewed, iterate.
  • AI-leveraged.You treat AI agents as force multipliers. You know when to delegate to them and when to think yourself.
  • Ownership.When a pipeline breaks at 2am, you don't wait to be told.
  • Clear written communicator.Async-friendly, document-as-you-go.

Education

  • Bachelor's degree in CS, Engineering, Math, Stats, or related field - or equivalent practical experience. Bootcamp grads and self-taught engineers with solid portfolios welcome.

Logistics

  • Location:Atlanta, GA - hybrid
  • Experience:2+ years preferred; fresh graduates with strong projects encouraged to apply

Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company's performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement ofjob-related expenses per the company policy and may receive employee perks and discounts.

To learn more, visit:www.onedigital.com/careers

OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals.

OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). A copy of the Federal EEO poster is linked here.

Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant:

City and County of San Francsico

City of Los Angeles

County of Los Angeles

Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or 'ban the box'] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington.

In short, we believe in hiring the most qualified applicant for the position, regardless of background.

If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you.

OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow.

Thank you for your interest in joining the OneDigital team!


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