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Junior Data Engineering Jobs in Georgia (NOW HIRING)

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 ...

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 ...

AArete

Senior Data Scientist

Vienna, GA · On-site

... junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions * Advanced Generative AI experience, including prompt engineering, LLM ...

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

AArete

Senior Data Scientist

Vienna, GA · On-site

... junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions * Advanced Generative AI experience, including prompt engineering, LLM ...

Quanta Services

Lead Data Engineer

Atlanta, GA · On-site +1

$120K - $130K/yr

Lead technical projects and mentor junior engineers * Help hire and develop future data team members as the function grows * Take on additional responsibilities as the role evolves and new learning ...

New

Ampacity, LLC.

Lead Data Engineer

Atlanta, GA · On-site +1

$120K - $130K/yr

Lead technical projects and mentor junior engineers * Help hire and develop future data team members as the function grows * Take on additional responsibilities as the role evolves and new learning ...

New

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Georgia

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 Sep 6, 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.

Data Scientist 2 - 4P/114

4P Consulting Inc

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist (5 to 10 Years of Experience)

A Data Scientist with 5 to 10 years of experience plays a pivotal role in leveraging data to uncover actionable insights, create predictive models, and drive informed decision-making within an organization. This role requires expertise in advanced analytics, machine learning, and problem-solving to extract meaningful value from large and complex datasets.

Key Responsibilities:

Data Analysis

  • Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
  • Apply statistical techniques to derive meaningful information from data.

Predictive Modeling

  • Develop and deploy machine learning models to forecast trends, behaviors, and outcomes.
  • Employ techniques such as regression analysis, clustering, and classification.

Data Visualization

  • Design and present compelling visualizations to communicate findings effectively to technical and non-technical audiences using tools like Tableau, Power BI, or Python libraries.

Hypothesis Testing

  • Formulate and validate hypotheses to support data-driven business decisions.

Feature Engineering

  • Engineer and optimize features to enhance the performance of machine learning models.

Algorithm Development

  • Build, test, and fine-tune algorithms, including decision trees, random forests, neural networks, and more, tailored to specific challenges.

Data Integration

  • Collaborate with IT teams to integrate and access data from diverse sources and data warehouses.

Model Deployment

  • Implement machine learning models in production to support real-time decision-making.

A/B Testing

  • Design and analyze A/B tests to evaluate the impact of interventions and enhancements.

Data Ethics

  • Ensure adherence to ethical data practices, including privacy standards and compliance with data protection regulations.

Cross-functional Collaboration

  • Partner with engineers, business analysts, and domain experts to align data initiatives with organizational goals.

Mentorship

  • Mentor and guide junior data scientists and analysts to foster their professional development.

Continuous Learning

  • Stay abreast of the latest tools, techniques, and trends in data science through ongoing education and professional development.

Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). A Master's or Ph.D. is preferred.
  • 5 to 10 years of hands-on experience in data science, including machine learning and statistical analysis.
  • Proficiency in programming languages such as Python, R, or Julia.
  • Solid understanding of machine learning algorithms and their practical applications.
  • Expertise in data visualization tools (e.g., Tableau, Power BI) or Python libraries (e.g., Matplotlib, Seaborn).
  • Strong skills in SQL for data manipulation and querying.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is an advantage.
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills to convey complex insights effectively to varied audiences.
  • Knowledge of data privacy, ethical considerations, and compliance frameworks.

A seasoned Data Scientist with 5 to 10 years of experience is an invaluable contributor to any organization. This professional combines technical expertise, advanced analytics, and strategic thinking to transform data into actionable insights, optimize decision-making, and mentor emerging talent, ensuring sustainable growth in data-driven operations.

Apply