1

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

Data Engineer

Kennesaw, GA ยท On-site

$105K - $127K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw ... Translate business questions into data structures that support analytics, AI/ML, and activation.

Robotics Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

They are seeking a Robotics Data Engineer to build and own the data foundation behind their ... ML Data Enablement: Build the data infrastructure that feeds model training and evaluation ...

Data Engineer

Kennesaw, GA ยท On-site

$105K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into ...

Robotics Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

The Robotics Data Engineer will build and own the data foundation for autonomy, perception, and ... ML Data Enablement: Build the data infrastructure that feeds model training and evaluation ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Atlanta, GA

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into ...

Lead Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding ...

Lead Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding ...

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding ...

ML Software Engineering Lead

Atlanta, GA ยท On-site

$98K - $129K/yr

Worldpay is seeking an experienced and visionary ML Software Engineering Lead to serve as the technical and functional leader for the Data Science Enablement engineering function. The role involves ...

Senior Data Engineer

Atlanta, GA ยท Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven ...

ML Software Engineering Lead

Atlanta, GA ยท On-site

$98K - $129K/yr

In this strategic role, you will collaborate closely with product, data science, platform engineers, and other product delivery teams to translate ML models and data-driven algorithms into robust ...

New

next page

Showing results 1-20

Data Engineer Ml information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do data engineer ml jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data engineer ml in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a Data Engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do Data Engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
What are popular job titles related to Data Engineer Ml jobs in Decatur, GA? For Data Engineer Ml jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ml jobs in Decatur, GA look for? The top searched job categories for Data Engineer Ml jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Engineer Ml jobs? Cities near Decatur, GA with the most Data Engineer Ml job openings:
Data Engineer (AI & Data Platforms) - Q126

Data Engineer (AI & Data Platforms) - Q126

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Full-time

Re-posted 3 days ago


Job description

Overview:
Job Title: Data Engineer (AI & Data Platforms)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The role of the Data Engineer has fundamentally shifted in 2026. R2 Technologies is seeking an innovative Data Engineer who goes beyond traditional ETL to become a builder of "AI-ready" data foundations. You will be crucial in powering our SmartEnt platform and client AI initiatives by engineering context-rich data pipelines. Utilizing AI coding assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake, Databricks, Apache Iceberg) to process both structured and unstructured data.
  • Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows.
  • Leverage AI-assisted coding tools to rapidly generate, test, and optimize SQL/Python data transformation code, freeing up time for complex architectural decisions.
  • Orchestrate data workflows using Apache Airflow, Dagster, or n8n to ensure seamless, event-driven data delivery to AI agents and downstream analytics.
  • Implement data reliability engineering practices (data contracts, observability, lineage) to ensure LLMs are grounded in highly accurate, governed data.
  • Collaborate closely with Full Stack and AI/ML engineers to support multi-modal data ingestion from IoT devices, APIs, and enterprise systems.

Qualifications: 3 years of hands-on experience in Data Engineering, Data Analytics, or ML Engineering.
  • Bachelor degree in computer science or related field.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery) and orchestration tools.
  • Familiarity with creating embedding pipelines and working with Vector Databases.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Understanding of modern lakehouse architectures and open table formats (Apache Iceberg, Delta Lake).
  • Excellent communication skills and the ability to adapt to the fast-paced convergence of data and AI.

Skills:
Snowflake,Apache