1

Staff Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$50 - $55/hr

Data Engineer Job Location: Atlanta, GA Job Type: Contract Job Overview: Pay Range $50hr - $55hr ... leading technology staffing and workforce solutions company serving Fortune 500 companies ...

New

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in ... Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services ...

Solid understanding of data science and ML fundamentals model evaluation feature engineering ... staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data ... All Hands, Enterprise Applications, DECAL All Staff • Position Type: Contract • Experience ...

Data Engineer III

Atlanta, GA

$110K - $132K/yr

We are seeking a Data Engineer III to partner with stakeholders and clients to define problems ... Any staffing/employment agency, person or entity that submits an unsolicited resume to this site ...

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Data Engineer III to partner with stakeholders and clients to define problems ... Any staffing/employment agency, person or entity that submits an unsolicited resume to this site ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for ... Thanks & Regards Jagdish Manager - IT Staffing Email ID: jagdish@polarits.com| Phone: + 1 443 489 ...

Senior data engineer

Alpharetta, GA · On-site

$100K - $136K/yr

OVA.Work is looking for a skilled Data Engineer to design, build, and maintain scalable data ... OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms ...

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Staff • Work arrangements subject to management's discretion Experience Required: 5+ years Key ... Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with ...

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Work is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and ... OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms ...

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... recognize our staff professionals for their work. Full time positions are eligible for a ...

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

At Frazier & Deeter, we're committed to training, mentoring, and developing our staff members. With ... Frazier & Deeter is seeking a Senior Data Engineer to help build and scale the data foundation that ...

New

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

At Frazier & Deeter, we're committed to training, mentoring, and developing our staff members. With ... Frazier & Deeter is seeking a Senior Data Engineer to help build and scale the data foundation that ...

New

next page

Showing results 1-20

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 5, 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.

Infographic showing various Staff Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $83,872 per year, or $40.3 per hour.

$50 - $55/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New


Job description

We are looking for Data Engineer for our client in Atlanta, GA.

Job Title: Data Engineer

Job Location: Atlanta, GA

Job Type: Contract

Job Overview:

Pay Range $50hr - $55hr

Requirement/Must Have:

  • 5+ years of experience in Data Engineering.
  • Strong expertise in cloud-based data engineering.
  • Experience with ETL/ELT development.
  • Proficiency in big data technologies.
  • Experience working in healthcare environments.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data ingestion frameworks from multiple source systems, APIs, databases, and cloud platforms.
  • Develop and maintain enterprise data models, data warehouses, and data lakes.
  • Ensure high levels of data quality, integrity, security, and governance across data platforms.
  • Collaborate with business analysts, architects, data scientists, and application teams to understand data requirements.
  • Implement data transformation, validation, reconciliation, and monitoring processes.
  • Optimize performance of large-scale data pipelines and database workloads.
  • Support analytics, reporting, AI/ML, and advanced data science initiatives through reliable data delivery.
  • Implement metadata management, lineage tracking, and data cataloging solutions.
  • Troubleshoot production issues and perform root cause analysis for data-related incidents.
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Ensure adherence to healthcare regulatory and compliance requirements, including HIPAA and data privacy standards.
  • Work with distributed teams across multiple locations and support enterprise-scale data initiatives.

Nice to Have:

  • Experience in Healthcare, Health Insurance, or Life Sciences domain.
  • Exposure to AI/ML data pipelines and MLOps frameworks.
  • Knowledge of healthcare data standards such as HL7, FHIR, ICD, and CPT.
  • Experience with Snowflake, Databricks, or modern cloud-native data platforms.
  • Familiarity with Agile/Scrum methodology.

Skills:

  • Data Engineering.
  • Data Pipeline Development.
  • ETL/ELT Design and Development.
  • Data Warehousing Concepts.
  • Data Modeling (Dimensional & Relational).
  • Data Lake Architecture.
  • Data Quality and Data Governance.
  • Cloud Technologies (AWS or Azure).
  • Databases (SQL Server, Oracle, PostgreSQL, Snowflake).
  • Programming (Python, SQL, PySpark, Shell Scripting).
  • Big Data Technologies (Apache Spark, Hadoop Ecosystem, Kafka).
  • DevOps & CI/CD (Git, Jenkins/Azure DevOps).

Education and Experience:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently in fast-paced environments.
  • Strong collaboration and mentoring capabilities.
  • Commitment to quality, scalability, and continuous improvement.

=

Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media