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

Data Engineer

Alpharetta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into ...

Data Engineer

Alpharetta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into ...

Data Engineer

Atlanta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into ...

AI Data Engineer - Senior Consultant

Atlanta, GA · On-site

$100K - $138K/yr

Deliver governed datasets and feature engineering/serving for ML training and real-time inference ... Establish data/model reliability and cost-performance discipline (data quality, schema evolution ...

AI Data Engineer - Senior Consultant

Atlanta, GA · Hybrid

$100K - $138K/yr

Deliver governed datasets and feature engineering/serving for ML training and real-time inference ... Establish data/model reliability and cost-performance discipline (data quality, schema evolution ...

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 ...

Work with structured and unstructured datasets to perform data preprocessing, feature engineering ... ML engineering or data science roles. * Strong programming experience in Python. * Hands-on ...

Position: AI/ML Engineer with GCP Location: Atlanta, GA (Hybrid) Type: Contract Strategic ... Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and ...

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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.
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

Data Engineer

Nelson

Alpharetta, GA • On-site, Remote

$75K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This role focuses on building robust data pipelines, integrating architecture and design software systems, and enabling data-driven decision-making for project teams, leadership, and clients.
Attributes to support the NELSON Culture: Guiding Principles
  • Go All In: Own the Outcome. We go all in-with urgency, follow-through, and pride in the result
  • Be Direct. Be Respectful. Be Authentic. We keep it real-with clarity, candor, and care.
  • Grow with Purpose. We embrace growth-through learning, coaching, and continuous improvement.
  • Think Bold. Execute Smart. We think boldly-and pair ambition with discipline.
  • Make Space for Everyone. We value you-and build a culture where people can thrive and do their best work.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Critical features of this job are described under the headings below. They may be subject to change at any time due to reasonable accommodation or other reasons.
Data Architecture & Pipeline Development:
  • Design, develop, and maintain scalable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines for structured and unstructured AEC (Architecture, Engineering, Construction) and business operational data (BIM models, CAD files, project schedules/delivery data, finance/resourcing/reforecasting data, IoT/sensor data).
  • Build and optimize data architectures supporting analytics, visualization, and AI/machine learning initiatives.
  • Design, build and maintain data pipelines and integrations between multiple systems/platforms leveraging tools such as Workato, Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate
  • Experience leveraging API integrations as well as direct server to server integrations
  • Ensure data is collected, stored, and accessible in reliable, scalable ways
  • Optimize data workflows for performance, security, and cost
  • Partner with IT, Enterprise and Practices to enable smooth data operations

Semantic Layer, Database & Infrastructure Management:
  • Develop and maintain cloud-based data lakes, warehouses, and relational databases (MSSQL, Azure SQL, AWS, GCP)
  • Author, maintain and manage complex database stored procedures and job schedules.
  • Partner with business intelligence teams to develop, maintain and streamline enterprise semantic layers leveraging Tableau, PowerBI and Databricks
  • Ensure data integrity, governance, versioning, and strong documentation standards.
  • Improve data accessibility for business leaders, designers and project managers.
  • Strong knowledge of Deltek Vantage Point, HubSpot and UltiPro a plus

Cross-Functional Collaboration:
  • Work with business intelligence teams to support dashboards, forecasting tools, and project performance analytics.
  • Support automation initiatives that reduce manual work in the design and project delivery process.

Analytics & Innovation:
  • Transform design and project data into standardized structures for forecasting, resource planning, carbon accounting, and operational analytics.
  • Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into business workflows.
  • Evaluate emerging technologies and help shape the firm's digital strategy.

Data Quality, Security & Governance:
  • Implement data validation, audit processes, and error-handling frameworks.
  • Ensure compliance with data privacy, security standards, and IT policies.
  • Create documentation, metadata, data dictionaries, and best-practice guidelines.

Education / Experience:
  • Bachelor's degree in data management or related field from an accredited University.
  • 10+ years' experience; or equivalent in appropriate education and experience in design profession and/or real estate consulting

National Salary range: $75,000-$145,000 (compensation factors are based upon years of relevant experience, qualifications/licensure, education, and location). Additional compensation includes bonuses and benefits. Bonuses can include but are not limited to: Long Term Incentive Plan, Short Term Incentive Plan, Profit Sharing
Benefits of NELSON: (additional benefit details can be found at: nelsonworldwide.com/careers)
  • 401(K) plan with company match
  • Full health benefits including medical, dental, and vision
  • Wellness program with rewards for healthy activities
  • Pet Insurance
  • Opportunities for career advancement
  • Paid time off and holiday pay
  • Paid parental leave
  • Flexible working schedules and work from home options based on client's needs
  • Professional Development including discretionary support and reimbursement for registrations, certifications, and membership to a professional organization

NELSON and its related affiliates are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, religion, sex, sexual orientation, gender identity or expression, transgender, national origin, status as a protected veteran, disability or any other classification protected by law.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.