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

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Contribute to ML data preparation and feature pipeline workflows * Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams * Contribute to ...

CEI

Data Engineer (Databricks, AWS)

Raleigh, NC

$70/hr

Title: Data Engineer (onsite) Location: Raleigh, NC Contract: W2 only, 12-month contract with ... Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.

Sennos

Sr ML/AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Position Summary The Senior ML / AI Engineer sits within the Data Team's AI, ML, and Data Science pod, supporting R&D, product development, and the build-out of Sennos' advanced machine learning ...

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TEKsystems

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

Collaboration & Mentorship • Work under AI Engineering Manager and partner with data science and ... ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or ...

TEKsystems

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

Collaboration & Mentorship • Work under AI Engineering Manager and partner with data science and ... ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will ...

Pwc

Data Strategy-Manager

Raleigh, NC

$99K - $232K/yr

... Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data architectures - Knowledge of data ...

Pwc

Data Governance- Manager

Raleigh, NC

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

Pwc

Data Strategy & Governance -Director

Raleigh, NC

$155K - $410K/yr

... Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought leadership in data governance - Collaborating on strategy and transformation projects ...

Pwc

GenAI Python Systems Engineer-Manager

Raleigh, NC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and ML solutions to drive innovation and enhance business processes. Your work will involve ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... data from multiple platforms * Design and deploy containerized ML workloads, partnering with ...

Pwc

GenAI Python Systems Engineer-Director

Raleigh, NC

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... and ML solutions to drive innovation and enhance business processes. Your work will involve ...

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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 Aug 23, 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Data Engineer

Sennos

Durham, NC • On-site

$110K - $132K/yr

Full-time

Re-posted 28 days ago

Job description

About Sennos
Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world's most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack-from sensing hardware to data infrastructure-we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next-generation production control.
Sennos is a rapidly growing start-up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!
Position Summary
The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.
Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.
Responsibilities
  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards

Required Qualifications
Education:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:
  • 2-4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:
  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams

Preferred Qualifications
  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)

Team Working Style
  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development

Physical Requirements and Work Environment
  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.
Our company is currently active in 17 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, PA, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.
Equal Opportunity Statement
Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Recruitment Agency Notice:
We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

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