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Data Engineer Ml Jobs in Raleigh, NC (NOW HIRING)

Codeforce 360

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

The ideal candidate should have strong expertise in SQL, Spark, Scala, AI/ML, GenAI along with experience working in fast-paced enterprise environments. * Seeking a Senior Data Platform Engineer with ...

Redhat

Data Scientist

Raleigh, NC · On-site +1

... AI/ML feature backlogs using data-driven frameworks, and coordinating iterative development sprints across engineering, data science, and business teams using JIRA; applying Natural Language ...

GEI Consultants

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML ...

GEI Consultants

AI Engineer

Cary, NC · On-site

... ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world ... most pressing problems - from climate change to sustainable development, to critical infrastructure ...

Tihinsurance

Machine Learning Engineer

Morrisville, NC · On-site

Partner with the Head of ML, product and data teams to define and implement the company-wide ML ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data ... Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Raleigh, NC

Data Engineer Ml information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data engineer ml jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineer ml in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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 Raleigh, NC?

For Data Engineer Ml jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Raleigh, NC look for?

The top searched job categories for Data Engineer Ml jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Ml jobs?

Cities near Raleigh, NC with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Senior Data Platform Engineer

Raleigh, NC • On-site

Codeforce 360
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Codeforce 360external

$103K - $140K/yr

Other

Posted 16 days ago

Job description

About Us:

CodeForce 360 is a trusted global IT talent partner helping Fortune 500 companies, system integrators, and enterprise organizations build high-performing technology teams. With over 16 years of industry expertise, we combine speed, precision, and market intelligence to deliver exceptional talent across today's most in-demand technologies.

About the Job- We are looking for an experienced Senior Data Platform Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in SQL, Spark, Scala, AI/ML, GenAI along with experience working in fast-paced enterprise environments.

Job Description:

  • Seeking a Senior Data Platform Engineer with strong experience building scalable data products and high-volume data pipelines.
  • The ideal candidate will have hands-on expertise in SQL, Spark, Scala, modern data platforms, and lakehouse technologies, with a focus on performance, reliability, and data quality.

Required Skills:

  • 8+ years of experience in Data Engineering / Data Platform development
  • Strong SQL, Spark, and Scala
  • Large-scale data pipeline development and optimization
  • Production experience with data processing and distributed systems
  • Data modeling, analytics, and metric design
  • Experience with modern Data Lakehouse technologies
  • Apache Iceberg, Trino, Superset
  • Data quality, scalability, performance, and reliability
  • Complex data troubleshooting and root-cause analysis
  • Experience developing analytical data products
  • Exposure to AI/ML, GenAI, RAG, recommendation systems, or feature engineering is a plus

How To Apply

Job ID: JPC - 233429

Contact:

Name: Sillon Kumar

Email: sillonk@codeforce.com

Phone: (470) 256-4263

CodeForce 360 proudly provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.

CodeForce 360 logo

About CodeForce 360

Sourced by ZipRecruiter

CodeForce 360 started its Journey in 2010. For the last 14 years, we have emerged as a leader in technology and professional staffing industry serving fortune enterprises, all major system integrators, leading managed service providers and technology companies.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2010

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