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Jr Data Engineer Jobs in Acworth, GA (NOW HIRING)

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... Engineer and select relevant features to improve model performance * Fine-tune model parameters and ...

Adidev Technologies Inc

Jr Android Developer

Atlanta, GA · On-site

$60 - $85/hr

We excel in IT consultative services and quality engineer development, with Good years of ... Knowledge of mobile data storage using SQLite, Room. * Familiarity with RESTful APIs for back-end ...

BofA Securities

Feature Lead - Technology

Kennesaw, GA · On-site

The team is a Data Engineering group focused on building and maintaining robust Database centric ... Present team's work to Business partners and Lead Sr and Jr team members onshore and offshore ...

Bank of America

Feature Lead - Technology

Kennesaw, GA · On-site

The team is a Data Engineering group focused on building and maintaining robust Database centric ... Present team's work to Business partners and Lead Sr and Jr team members onshore and offshore ...

nLeague

Quality Analyst (Testing)

Atlanta, GA · On-site

GA DOL location: 148 Andrew young Jr Blvd. Atlanta, Georgia 30303 Duration: 4+ Months Onsite MUST ... The ideal candidate will possess a deep understanding of testing Java programming language, and JCL ...

My3Tech Inc

Quality Analyst (Testing)

Atlanta, GA · On-site

Job: GA DOL - Quality Analyst (Testing) (798834) Location : 148 Andrew young Jr Blvd. Atlanta ... The ideal candidate will possess a deep understanding of testing Java programming language, and JCL ...

My3Tech Inc

Quality Analyst (Testing)

Atlanta, GA · On-site

Job: GA DOL - Quality Analyst (Testing) (798834) Location : 148 Andrew young Jr Blvd. Atlanta ... The ideal candidate will possess a deep understanding of testing Java programming language, and JCL ...

Inalfa Roof Systems Group B.V.

CMM Programmer

Acworth, GA · On-site

$80 - $120/hr

JR- 16381**We open up your world with every drive**Would you like to work on the development of ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

LabAnswer

LIMS SME/Business Analyst

Atlanta, GA · Remote

Define data migration requirements. Create and maintain SDLC & EPLC documentation. Contribute in ... Coordinates closely with programmers to ensure proper implementation of program and system ...

Inalfa Roof Systems Group B.V.

General Manager

Acworth, GA · On-site

$180 - $260/hr

JR-2026-16513**We open up your world with every drive**Would you like to work on the development of ... engineering, health & safety and logistics & materials. Support functions in the facility(s) such ...

All JobsJr Data Engineer JobsJr Data Engineer Jobs in Acworth, GA

Jr Data Engineer information

See Acworth, GA salary details

$39.7K

$115.8K

$158.4K

How much do jr data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for jr data engineer in Acworth, GA is $115,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,700.00 per year, depending on experience, location, and employer.

What does a Jr Data Engineer do?

A Jr Data Engineer is responsible for supporting the design, development, and maintenance of data pipelines and systems. They work with senior data engineers to collect, clean, and organize data from various sources, ensuring that the data is reliable and accessible for analysis. Junior data engineers may also assist in troubleshooting data issues, optimizing data flows, and learning best practices in data engineering. Their role provides foundational experience in data management, database technologies, and programming.

What types of projects and tasks can a Jr Data Engineer expect to work on during their first year?

As a Jr Data Engineer, you can expect to be involved in projects such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data analysts, senior engineers, and business stakeholders to ensure data is accessible and reliable for analysis. During your first year, you'll gain experience with ETL tools, cloud data platforms, and scripting languages, while learning best practices in data architecture and quality assurance. This hands-on involvement lays a strong foundation for future growth into more advanced engineering or analytics roles.

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

To thrive as a Jr Data Engineer, you need a solid understanding of database concepts, SQL, and programming languages like Python or Java, usually supported by a relevant degree or coursework. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Strong problem-solving, attention to detail, and effective communication are important soft skills for collaborating with teams and handling data issues. These combined skills ensure efficient data pipeline development, accurate data handling, and smooth integration of data solutions within an organization.

What is the difference between Jr Data Engineer vs Data Analyst?

AspectJr Data EngineerData Analyst
Required SkillsBasic SQL, Python, ETL processes, data pipeline developmentData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting tools, dashboards
CertificationsEntry-level data engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

The Jr Data Engineer typically focuses on building and maintaining data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. In contrast, a Data Analyst concentrates on interpreting data, creating reports, and visualizations. Both roles often work within similar industries and environments but serve different functions in data management and analysis.

What cities near Acworth, GA are hiring for Jr Data Engineer jobs?

Cities near Acworth, GA with the most Jr Data Engineer job openings:

Jr Data Engineer jobs near you
Infographic showing various Jr Data Engineer job openings in Acworth, GA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,791 per year, or $55.7 per hour.

Data Scientist II

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 4 days ago

Job description

Position: Data Scientist II


Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID
Duration:  1 Year

Client: Southern Company

Position Overview

The Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization.

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and 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 Responsibilities

Data Analysis & Insight Generation

  • Collect, clean, and analyze complex datasets
  • Identify trends, patterns, and actionable insights
  • Apply statistical techniques to support data-driven decisions

Predictive Modeling & Machine Learning

  • Develop and deploy machine learning models to predict future trends and outcomes
  • Apply regression, clustering, classification, and advanced modeling techniques
  • Build and optimize algorithms such as:
    • Decision Trees
    • Random Forests
    • Neural Networks
    • Gradient Boosting models

Feature Engineering & Model Optimization

  • Engineer and select relevant features to improve model performance
  • Fine-tune model parameters and validate predictive accuracy
  • Ensure models are scalable and production-ready

Model Deployment & Production Support

  • Deploy machine learning models into production environments
  • Support real-time decision-making applications
  • Monitor model performance and retrain as needed

Data Visualization & Communication

  • Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.)
  • Communicate insights effectively to technical and non-technical stakeholders

Hypothesis Testing & Experimentation

  • Design and analyze A/B tests
  • Conduct hypothesis testing and provide statistical validation
  • Measure business impact of changes and enhancements

Data Integration & Collaboration

  • Collaborate with IT and database teams to access and integrate data sources
  • Work with cross-functional teams (engineering, business analysts, domain experts)
  • Align data science initiatives with strategic business objectives

Governance & Ethics

  • Ensure ethical data practices and compliance with data privacy regulations
  • Maintain documentation and transparency in model development

Leadership & Development

  • Mentor junior data scientists and analysts
  • Contribute to best practices and data science methodologies
  • Stay current with emerging tools, technologies, and industry trends

Required Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field
  • 5–10 years of experience in data science, machine learning, and statistical analysis
  • Proficiency in Python, R, or Julia
  • Strong understanding of machine learning algorithms and their applications
  • Experience with SQL and database querying
  • Experience with data visualization tools (Tableau, Power BI, or Python libraries)
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication skills

Preferred Qualifications

  • Master’s or Ph.D. in a quantitative field
  • Experience with big data technologies (Hadoop, Spark)
  • Experience with distributed computing frameworks
  • Experience deploying models in cloud environments