ZipRecruiter

Log In

2

Part Time Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Amdex Corporation

Data Analyst IV

Atlanta, GA · 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 ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Atlanta, GA

Part Time Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

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

As of Jul 5, 2026, the average yearly pay for part time data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Atlanta, GA as of June 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.
Data Analyst IV

Data Analyst IV

Amdex Corporation

Atlanta, GA • On-site

$50 - $60/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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 government’s most pressing business and technical challenges. Without you, it’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