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

Guidehouse

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Experience with microservices, Spring Boot, and integration of AI/ML components. * Previous ...

Navanta, LLC

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs · Data freshness and pipeline ...

Navanta, LLC

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs • Data freshness and pipeline ...

ProArch

Data Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

Socket.dev

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

Honeywell

Lead Data Engineer

Atlanta, GA · 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 ...

ProArch

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

Mercedes-Benz Group

Prinicipal, Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Principal Data Engineer operates effectively in high-ambiguity environments, owns outcomes and ... AI/ML, product, and business stakeholders to translate complex business needs into scalable ...

Daimler AG

Prinicipal, Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data ... Partner with architects, infrastructure, security, analytics, AI/ML, product, and business ...

Daimler

Prinicipal, Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data ... AI/ML, product, and business stakeholders to translate complex business needs into scalable ...

Honeywell

Lead Data Engineer

Atlanta, GA

$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 ...

Navanta, LLC

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Partner with the AI/ML team on the structured-query path and with Security on PII classification at landing, in alignment with regulatory data-handling requirements * Document data lineage ...

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Showing results 21-40

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 Sep 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 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 are the key skills and qualifications needed to thrive as a data engineer ML?

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.

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 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.

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 Engineer

Atlanta, GA • On-site

Guidehouse
Business Management Consulting • 10K+ employees
Learn more about Guidehouseexternal

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.
  • Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
  • AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.
  • Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.
  • Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality and integrity through validation, monitoring, and logging.
  • Successfully juggle multiple tasks across different priorities.
  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.
  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

What You Will Need:
  • U.S. Citizenship/ Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".
  • A bachelor's degree is required.
  • FIVE (5) years of experience in data engineering, software development, or related roles.
  • Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
  • Experience with Co-Pilot and CodeX.
  • Experience designing and developing data pipelines and ETL processes.
  • Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.
  • Experience working with Databricks.
  • Experience with CI/CD tools and pipelines, such as Gi and, GitHub.
  • Experience operating in Agile development environments.

What Would Be Nice To Have:
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
  • Ability to work independently in a fast-paced environment.
  • Strong analytical and troubleshooting skills.
  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.
  • Familiarity with containerization and orchestration technologies
  • Experience with data visualization tools (e.g., Kibana, Tableau).
  • Familiarity with security best practices and compliance in federal environments.
  • Experience with microservices, Spring Boot, and integration of AI/ML components.
  • Previous consulting experience

The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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