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Junior Data Engineering Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 12. Mentorship: * Provide guidance and mentorship to junior data scientists and ...

Patientco

Senior Data Scientist

Atlanta, GA · On-site

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

HRC Global Services

This role is ideal for a technically strong data engineering professional who has deep experience ... Mentor junior engineers and contribute to engineering standards, reusable frameworks, and best ...

4P Consulting Inc

Data Scientist 2 - 4P/114

Atlanta, GA · On-site

Cross-functional CollaborationPartner with engineers, business analysts, and domain experts to align data initiatives with organizational goals.MentorshipMentor and guide junior data scientists and ...

4P Consulting Inc

Data Scientist 2 - 4P/114

Atlanta, GA · On-site

Cross-functional CollaborationPartner with engineers, business analysts, and domain experts to align data initiatives with organizational goals.MentorshipMentor and guide junior data scientists and ...

Gordon Food Service

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Guides the Data Engineering team in their collaboration with teams across IT as well as the ... more junior developers. What you will do: * Provide expertise and guidance in defining the ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Primerica

Sr Data Engineer

Duluth, GA · Hybrid

$130K - $135K/yr

Mentoring of junior engineers, including development best-practices, code reviews and ensuring ... Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem

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Junior Data Engineering information

See Georgia salary details

$28.3K

$60.6K

$92.5K

How much do junior data engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior data engineering in Georgia is $60,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $67,600.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Georgia?

The most popular types of Data Engineering jobs in Georgia are:

What are popular job titles related to Junior Data Engineering jobs in Georgia?

For Junior Data Engineering jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Georgia look for?

The top searched job categories for Junior Data Engineering jobs in Georgia are:

What cities in Georgia are hiring for Junior Data Engineering jobs?

Cities in Georgia with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $60,626 per year, or $29.1 per hour.

Senior Data Engineer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Re-posted 9 days ago

Job description

Overview

About You

The ideal candidate is a problem-solver who enjoys working on complex data systems and is passionate about data quality. You thrive in collaborative environments but can also work independently to deliver solutions. You're comfortable working directly with technical and non-technical stakeholders and can communicate complex technical concepts clearly. Most importantly, you're excited about creating systems that empower others to work with data efficiently and confidently.

About the Role

We're seeking a talented Senior Data Engineer to join our Enterprise Architecture team in a cross-cutting role that will help define and implement our next-generation data platform. In this pivotal position, you'll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance. This is an opportunity to shape our data engineering practice from the ground up, working directly with key stakeholders to build mission-critical ML and AI data workflows.

Key Responsibilities

  • Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open source tools
  • Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
  • Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
  • Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
  • Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
  • Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
  • Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
  • Mentor junior engineers and advocate for engineering excellence in data practices

Qualifications

  • 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
  • Bachelor's Degree in CS or equivalent
  • Deep expertise with orchestrating workflows, performance optimization, and operational management
  • Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies
  • Experience with stream processing frameworks and technologies
  • Proficiency with SQL and Python for data transformation and pipeline development
  • Familiarity with containerized application deployment
  • Experience implementing data quality frameworks and automated testing for data pipelines
  • Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Qualifications

  • Experience with self-hosted data orchestration platforms (rather than managed services)
  • Background in implementing data contracts or schema governance
  • Knowledge of ML/AI data pipeline requirements and feature engineering
  • Experience with real-time data processing and streaming architectures
  • Familiarity with data modeling and warehouse design principles
  • Prior experience in a technical leadership role

We emphasize building systems that are maintainable, scalable, and focused on enabling self-service data access while maintaining high standards for data quality and governance.

#LI-HR1 #LI-ONSITE

----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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