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Part Time Data Engineer Jobs in Georgia (NOW HIRING)

Data Analyst IV

Atlanta, GA ยท On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Data Architect

Warner Robins, GA ยท On-site

$86K - $198K/yr

You Have: * 5+ years of experience in data architecture or data engineering * Experience managing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AL/ML Engineer, Lead

Atlanta, GA ยท On-site

$98K - $129K/yr

Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Database Administrator

Atlanta, GA ยท On-site

$86K - $198K/yr

Microsoft Certified Azure Data Engineer Associate or Microsoft Certified Azure Solutions Architect ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

With our expertise in data analysis and transportation modeling we optimize the flow of people and ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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Part Time Data Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do part time data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for part time data engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $300,000 or more annually. High compensation often depends on industry, location, and the complexity of projects handled.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data infrastructure that requires human oversight and expertise. While AI can automate certain tasks like data cleaning and processing, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills in data architecture, cloud platforms, and programming, along with significant industry experience and certifications.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive in the Part Time Data Engineer position, and why are they important?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in Georgia? The most popular types of Data Engineer jobs in Georgia are:
What are popular job titles related to Part Time Data Engineer jobs in Georgia? For Part Time Data Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Part Time Data Engineer jobs? Cities in Georgia with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.
Data Analyst IV

Data Analyst IV

Amdex Corporation

Atlanta, GA โ€ข On-site

$50 - $60/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

JOB NUMBER: 1634 | LOCATION: Remote CLEARANCE/ACCESS LEVEL: NACI

Data Engineer & Analyst, Part-time with Full Time Potential

AMDEX.ai The Art of Data Science

We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics, and technical expertise to accelerate data modernization. We specialize in data science and cloud solutions, application development and maintenance, program management, and health IT operations leveraging experience and trusted talent to solve the federal governmentโ€™s most pressing business and technical challenges. Without you, itโ€™s just data.

AMDEX is seeking an experienced Data Engineer & Analyst to join our dynamic team supporting a federal client.

Overview

This position serves as a hybrid data engineer and data analyst, responsible for design, configuration, integration, and operational support of enterprise analytics systems. This role focuses on implementing secure, scalable data pipelines and structured data assets across multiple platforms, including Palantir Foundry, Azure data services, Databricks, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining the capability to support applied analytics workflows when required.

Key Responsibilities

  • Design, build, and integrate secure data workflows across Palantir Foundry, Azure Data Factory, Databricks, and SQL Server environments
  • Develop and maintain structured datasets, data models, and schema designs supporting reporting and surveillance analytics
  • Build, optimize, and maintain ETL/ELT pipelines supporting analytics and operational workloads
  • Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools
  • Perform performance tuning, troubleshooting, and operational monitoring across analytics and database platforms
  • Support the operationalization of analytics workflows into repeatable, production-ready processes

Requirements

Advanced experience working with R and Python

Advanced experience writing and optimizing queries for SQL server

Knowledge of public health, socioeconomic, and demographic datasets and variables

Knowledge of statistical concepts, such as random sampling, basic analysis, and data suppression

Ability to obtain and maintain a Government suitability clearance

Working knowledge of SAS statistical analysis programming is a plus, but not required


AMDEX Corporation offers a competitive salary package and attractive benefits package.

  • Medical | Dental | Vision (Base plan employee premiums 100% company paid)
  • Employer Paid Life and Disability Insurance, STD and LTD
  • Employee Assistance Plan and Employee Discounts
  • 11 Federal Holidays | PTO accrual with carryover
  • 401(k) Plan with company match | Flexible Spending Accounts: Medical, Dependent, Transit
  • Tuition Reimbursement & Training Assistance

Visit our Careers website at www.amdexcorp.com/amdex-ai-jobs/ .

EOE M/F/D/V