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Junior Data Engineer Jobs in Decatur, GA (NOW HIRING)

North Highland

Consultant AI & Data Engineer

Atlanta, GA · On-site

We're seeking a Consultant, AI & Data Engineer in our Atlanta, GA office to help us take vision to ... Mentor junior engineers, review their code, and raise the technical bar of the team. * Present work ...

CINC

Senior Software/Data Engineer

Atlanta, GA · On-site

$120K/yr

... to junior engineers. Technical Competencies & Experience Core Requirements * Distributed Systems ... Data Streaming: Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or ...

CINC

Senior Software/Data Engineer

Atlanta, GA · Hybrid

$116K - $153K/yr

... to junior engineers. Technical Competencies & Experience Core Requirements * Distributed Systems ... Data Streaming: Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or ...

FIS

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Drive model lifecycle management, including feature engineering, model training, validation, deployment, monitoring, retraining, and performance optimization. * Mentor and develop junior data ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Drive model lifecycle management, including feature engineering, model training, validation, deployment, monitoring, retraining, and performance optimization. * Mentor and develop junior data ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

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 ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

Mentor junior team members and promote best practices in data quality engineering and testing. Position Qualifications: Required Skills and Experience * Bachelor's degree in Computer Science ...

KPMG

Senior Manager, Ignition - Tax Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... junior team members * Act with integrity, professionalism, and personal responsibility to uphold ... Deep expertise in data integrations, engineering, lineage, and governance using cloud based data ...

UST

Analyst / Junior Developer

Atlanta, GA · On-site

$64K - $83K/yr

They are seeking an Analyst / Junior Developer to design and deliver scalable data architectures ... Responsibilities : • Design and develop advanced data engineering solutions that enable data ...

Redolent, Inc.

US_East | Data Engineer_L3

Atlanta, GA · On-site

... our junior most engineers to have lots of them Teamwork - working together is key to greater ... general Computer Science: data structures and algorithms Experience building multi-platform ...

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Decatur, GA

Junior Data Engineer information

See Decatur, GA salary details

$32.7K

$70.1K

$106.9K

How much do junior data engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for junior data engineer in Decatur, GA is $70,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $78,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

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 do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

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.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are the most commonly searched types of Data Engineer jobs in Decatur, GA? The most popular types of Data Engineer jobs in Decatur, GA are:
What are popular job titles related to Junior Data Engineer jobs in Decatur, GA? For Junior Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer jobs in Decatur, GA look for? The top searched job categories for Junior Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Junior Data Engineer jobs? Cities near Decatur, GA with the most Junior Data Engineer job openings:
Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Decatur, GA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $70,100 per year, or $33.7 per hour.
Consultant AI & Data Engineer

Consultant AI & Data Engineer

North Highland

Atlanta, GA • On-site

Full-time

Posted 21 days ago

Job description

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Consultant, AI & Data Engineer in our Atlanta, GA officeto help us take vision to value and create lasting impact. This role is also open to candidates in Dallas, Denver, and Portland.
SUMMARY
As a Consultant AI & Data Engineer, you will design, develop, and deploy AI solutions that survive real client environments. That means navigating imperfect data, complex workflows, and leaders seeking confidence that AI solutions will be adopted and drive value.
This role is for an engineer with systems depth, that can take AI from an interesting idea to practical operational tooling. Key areas include RAG, document processing, evaluations, observability, deployment, and integration patterns.
You will be hands-on, designing and delivering features and applications and serving as a technical voice in client conversations and with internal leadership.
YOU WILL:
  • Translate ambiguous business problems into AI solutions, features, and tools that clients can adopt, deploy, and maintain with confidence.
  • Lead and facilitate discovery conversations and shape solution design alongside clients, solution architects, and delivery leads.
  • Build RAG, document AI, and AI-enabled systems end-to-end: ingestion, chunking and layout decisions, retrieval design, vector and metadata schemas, prompt and context engineering, post-processing, and evaluation.
  • Define and run evaluation frameworks, benchmark against industry datasets, design reliability diagnostics and perform failure analysis to make decisions about models, retrieval strategies, and processing pipelines.
  • Translate operational processes into structured and/or agentic AI workflows, designing human-in-the-loop and explainable escalation patterns for sensitive tasks where AI/automation alone is insufficient.
  • Stand up the observability needed to trust a system in production, including tracing, output capture, feedback loops, and monitoring for performance degradation.
  • Mentor junior engineers, review their code, and raise the technical bar of the team.
  • Present work and facilitate decision making sessions with client stakeholders with clarity and confidence, including PowerPoint presentations.

IDEALLY, WE'D LIKE:
We are looking for demonstrated ability to design, develop, and deploy AI-enabled solutions. The ideal candidate can showcase delivery from concept through to production and provide evidence of strong stakeholder communication.
Experience
  • 1+ years in AI or data science roles, with 2 - 3 years in technical roles overall preferred.
  • Bachelor's degree in a computer science, data science, or relevant field, or equivalent professional experience.

Engineering fundamentals
  • Writing-level proficiency in Python and SQL (not just reading or generating code).
  • Fluent use of AI coding tools with disciplined practices around trustworthy, human-reviewed output.
  • Working proficiency with data warehousing, integrations, APIs, and software development
  • Working command of Git, Docker, and CI/CD.

AI engineering depth
  • RAG fluency beyond top k: you have designed retrieval strategies, evaluated them, understood tradeoffs, and improved/mitigated them.
  • Vector database experience at the schema-design level: organization, metadata, hybrid retrieval, and tradeoffs.
  • Document processing across text, images, and tables, with judgment for when to reach for which chunking, layout, or extraction approach.
  • Experience designing evaluation frameworks and using them to drive decisions, including production readiness and evidence-based improvements.
  • Comfort with NoSQL stores, document versioning, and turning unstructured files into structured knowledge assets.
  • Awareness of how data quality, drift, and edge cases break AI systems, and the patterns to mitigate them in imperfect environments.
  • Comfort with data cleansing, transformation, and normalization techniques, including both structured and unstructured formats

Delivery and consulting skills
  • Background in client-facing or delivery-oriented work including interpreting stakeholder needs and delivered a working solution at the end.
  • Strong communication skills and effective with PowerPoint to present technical work to both technical and non-technical stakeholders.
  • Sound judgment in ambiguous problem spaces, able to make sensible assumptions, document them, and revisit them as patterns emerge.
  • Commitment to staying abreast of latest advancements in applied AI.

Cloud
  • Working exposure to at least one of Azure, GCP, or AWS.

Nice to Have
  • Experience with LangGraph, LangChain, or comparable agent frameworks.
  • Graph databases and ontology design.
  • ML/NLP background is useful.
  • Hands-on time in Databricks, Snowflake, or Salesforce ecosystems.
  • Prior experience in consulting environment.

Applicants must be authorized to work in the United States, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
Reference: 49978

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