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

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid ... AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Partner with data engineers, ML engineers, and product teams to improve data and model quality * Support continuous improvement of QA processes and software development lifecycle * Document test ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment * Mentor team members and provide technical leadership on complex ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment * Mentor team members and provide technical leadership on complex ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment * Mentor team members and provide technical leadership on complex ...

NEP GROUP

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Partner with BI and ML teams to support analytics and advanced data use cases * Identify ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

The Coca-Cola Company

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Partner in Data Discovery & Solution Shaping * Partner with Product, Analytics, and Engineering to ... Support ML workflows by helping produce curated training datasets and feature-ready tables ...

Coca-Cola

Data Engineer

Atlanta, GA

$110K - $132K/yr

Partner in Data Discovery & Solution Shaping * Partner with Product, Analytics, and Engineering to ... Support ML workflows by helping produce curated training datasets and feature-ready tables ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Preferred Skills: * Experience with machine learning pipelines and AI/ML model deployment.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Preferred Skills: * Experience with machine learning pipelines and AI/ML model deployment.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Preferred Skills: * Experience with machine learning pipelines and AI/ML model deployment.

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable ... Create logical and physical data models to support business intelligence, ML, and analytics ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Decatur, GA

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 Jun 18, 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.
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Data Engineer Ml jobs near you

DATA Engineer GCP

Krest Global Solutions

Atlanta, GA

$58 - $60/hr

Contractor

Posted 21 days ago

Job description

Job Title: DATA Engineer – GCP

Work Time Zone: EST

Rate: $58-60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).. The ideal candidate is proficient with BigQuery, Dataflow, and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.

Core Responsibilities:

  • Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc.
  • Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning.
  • Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation.
  • Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.
  • AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation.
  • Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.

Technical Skills:

  • Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage
  • Expertise in SQL, Python, and ETL/ELT development
  • Knowledge of Infrastructure as Code tools (e.g., Terraform)
  • Familiarity with CI/CD tools: Google Cloud Build, Jenkins
  • Understanding of data modeling, partitioning, clustering, and materialized views
  • Working knowledge of data quality frameworks and governance principles
  • Experience with Vertex AI, or a strong interest in ML/AI workflows on GCP
  • Apache Spark, Kafka, Apache Airflow
  • DBT or Dataform for transformations
  • Docker, Kubernetes for Containerization
  • Snowflake, Databricks or other modern platforms

Soft Skills:

  • Strong communication and collaboration skills
  • Ability to manage priorities and work independently
  • Analytical thinking and problem-solving mindset

Preferred Skills (Bonus):

  • Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)
  • Domain experience in energy, utilities, or industrial sectors

Experience Requirements:

  • Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)
  • Professional Experience:
    • 8-10 years of experience in data engineering
    • Proven hands-on experience with GCP and modern data architecture