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Staff Data Engineer Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Augusta, GA · On-site

$98K - $133K/yr

Job Title Senior Data Engineer Location Augusta, GA 30905 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education High School / GED Travel None ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... Collaborating with end users, development staff, and business analysts to ensure that prospective ...

Master Data Management Engineer

Atlanta, GA

$110K - $132K/yr

Provide technical assistance and task delegation to a flexible team of staff engineers, consultants ... GCP Professional Data Engineer certification is a plus * Knowledge of best practices in enterprise ...

Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ... Students, faculty, and staff are assured of participation in university programs and in the use of ...

Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ... Students, faculty, and staff are assured of participation in university programs and in the use of ...

Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ... Students, faculty, and staff are assured of participation in university programs and in the use of ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

RIT Solutions, Inc. is seeking a Staff Engineer - Data to design and deliver complex software solutions in a hybrid environment, focusing on healthcare. The role requires technical leadership ...

Data Solutions Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... other support staff). 2. Ability to lead and build consensus among peers and staff. 3. ...

Showing results 21-40

Staff Data Engineer information

See Georgia salary details

$19.4K

$83.9K

$162.5K

How much do staff data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for staff data engineer in Georgia is $83,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $105,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

What is a staff data engineer?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a staff data engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

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

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

What are popular job titles related to Staff Data Engineer jobs in Georgia? For Staff Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Staff Data Engineer jobs in Georgia look for? The top searched job categories for Staff Data Engineer jobs in Georgia are:
Infographic showing various Staff Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 45% In-person, 11% Hybrid, and 44% Remote job distribution, with an average salary of $83,872 per year, or $40.3 per hour.

AI Data Engineer (Snowflake Cortex & Snowpark) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Re-posted 2 days ago


Job description

Overview:
Job Title: AI Data Engineer (Snowflake Cortex & Snowpark)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The modern data warehouse is no longer just for storage-it is the brain of the enterprise. R2 Technologies is seeking an AI Data Engineer specializing in the Snowflake ecosystem. You will move beyond traditional ETL pipelines to build intelligent, agentic workflows directly within Snowflake. Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our enterprise applications and internal SmartEnt platform.
Key Responsibilities:
  • Design and implement high-performance data pipelines using Snowflake, Snowpark (Python/SQL), and dbt.
  • Build and deploy Large Language Model (LLM) features directly on enterprise data using Snowflake Cortex AI, enabling natural language-to-SQL and semantic search workflows.
  • Create and manage Vector Embeddings and hybrid search pipelines within Snowflake to support enterprise RAG architectures.
  • Utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to automate pipeline generation, data testing, and documentation.
  • Modernize legacy data structures into modern open table formats (Apache Iceberg) to future-proof AI data consumption.
  • Implement robust data governance, dynamic masking, and Role-Based Access Control (RBAC) to ensure AI models comply with strict security and privacy standards.

Qualifications:
  • Up to 3 years of experience in Data Engineering, Analytics, or AI/ML Engineering.
  • Strong hands-on proficiency with Snowflake architecture, SQL, and Python.
  • Experience or strong familiarity with Snowflake's modern AI stack (Cortex, Snowpark, Vector functions).
  • Understanding of modern data modeling (Data Vault, Star Schema) and open table formats (Iceberg).
  • Proven experience working alongside AI coding assistants to enhance productivity.
  • Familiarity with building LLM context windows, prompt engineering, and RAG frameworks.

Skills:
Snowflake,Cortex,snowpark