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

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$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 ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... We are transforming corporations through deep domain expertise, knowledge-based ML platforms, as ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

AL/ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine learning ... Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and ...

Booz Allen Hamilton

AL/ML Engineer, Lead

Atlanta, GA

$98K - $129K/yr

AL/ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine learning ... Build andmaintaincomplex data pipelines usingPySparkand Palantir Foundry to support AI and ...

Booz Allen Hamilton

Lead AL/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

R0243410 AL/ML Engineer, Lead The Opportunity: As an experience d engineer, you know that machine ... Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

Share AL/ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine ... Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and ...

Sovos

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

The Senior Data Engineer will play a crucial role in building a financial data platform, managing ... or ML pipeline experience • Domain knowledge in compliance, tax technology, or e-invoicing ...

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Showing results 1-20

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 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 Ml jobs near you
Data Scientist - AI/ML (Atlanta, GA)

Data Scientist - AI/ML (Atlanta, GA)

Spartan Technologies, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Job description

We are seeking a Data Scientist who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role. The locations for this role are Atlanta, GA, FL, KS, LA, MS, OK, PA or TX. We are not seeking candidates who require relocation at this time. Also, we will consider candidates who are residents in Texas as well. This is a remote position.
Oil or Gas Industry experience is highly preferred for this role.
This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
Responsibilities:
• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Required Knowledge, Skills, Abilities (Qualifications):
• Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
• 7 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
• Experience leading data science projects.
• Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
Preferred Knowledge, Skills, Abilities:
• It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
Travel Requirements: 10%
Position Location: Open

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