ZipRecruiter

Log In

1

Junior Data Engineer Jobs in Georgia (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in building and maintaining ETL pipelines using Python and PySpark. * Support the development of ...

Apex Systems

Data Engineer 3

Atlanta, GA · On-site

$55 - $60/hr

Job#: 3047614 Jr. Data Engineer Location: Birmingham, AL (onsite 3-4x a week) Duration: 1-2 year contract with potential to convert full time Rate: $55-60hr. on w2 Authorization: Candidates must be ...

Guidehouse

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Mentor junior data engineers and support technical knowledge sharing across project teams. * Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

Alliance Technical Group

SR Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications * Bachelor's degree in Computer Science, Information Systems, or related field (or ...

3B Staffing LLC

Data engineer

Atlanta, GA · On-site

$110K - $132K/yr

Experience in mentoring junior team members through code reviews and recommend adherence to best ... The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible ...

3B Staffing LLC

Data engineer

Atlanta, GA

$110K - $132K/yr

Experience in mentoring junior team members through code reviews and recommend adherence to best ... The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible ...

Hertz

Sr Data Engineer

Atlanta, GA · On-site

$130K/yr

Mentor junior engineers and promote data engineering best practices. Required Qualifications * Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience ...

The Hertz Corporation

Sr Data Engineer

Atlanta, GA · On-site

$130K/yr

Mentor junior engineers and promote data engineering best practices. Required Qualifications * Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

You will work closely with cross-functional teams, including engineers, product managers, and ... junior data scientists and contribute to the growth and development of the data science team. • ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

... data engineering principles. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members. Key ...

4P Consulting Inc

Data Scientist 3 4P/298

Atlanta, GA · On-site

Lead feature engineering efforts to improve model performance * Perform statistical testing and ... Mentor junior data scientists and promote a data-driven culture * Define long-term strategy for ...

next page

Showing results 1-20

All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Georgia

Junior Data Engineer information

See Georgia salary details

$28.3K

$60.6K

$92.5K

How much do junior data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior data engineer 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 is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

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 Junior Data Engineer jobs in Georgia?

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

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

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

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

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

Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $60,626 per year, or $29.1 per hour.

Junior Data Engineer

Sequoia Connect

Atlanta, GA • On-site, Remote

Full-time

Posted 25 days ago

Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.

Apply