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Data Engineer Ml Jobs (NOW HIRING)

Sidram Technologies

AI DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

AI DATA ENGINEER Client: Altimetrik / S&P Global Location: Princeton, NJ & NYC, NY - HYBRID ... Generative AI / RAG / Fine-Tuning LangChain / HuggingFace Azure ML / AWS SageMaker / Google Vertex ...

New

Central Strategies, LLC

AI/ML Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The AI/ML Data Engineer will work closely with data scientists, ML engineers, cloud engineers, enterprise architects, cybersecurity professionals, automation engineers, mission stakeholders, and ...

Central Strategies, LLC

$84K - $101K/yr

The AI/ML Data Engineer will work closely with data scientists, ML engineers, cloud engineers, enterprise architects, cybersecurity professionals, automation engineers, mission stakeholders, and ...

Liftoff

Software Engineer, ML Data

San Francisco, CA · On-site

$180K - $230K/yr

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will: * Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Partner with data engineers, ML engineers, and product teams to improve data and model quality * Support continuous improvement of QA processes and software development lifecycle * Document test ...

Tabby LLC

$113K - $154K/yr

Integration new tools for data processing and data storing; * 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; * Experience in developing high-load and scalable data ...

E-Solutions, Inc.

Data Engineer - AI/ML

San Jose, CA · On-site

Data Engineer - AI/ML Location: San Jose, CA Duration: 12+ Month Long-Term Contract -W2 GC-EAD,TN,OPT Required Qualifications Experience: 3+ years of professional experience building and deploying ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience * 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.

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All JobsTechnology JobsData JobsData Scientist JobsData Engineer Ml Jobs

Data Engineer Ml information

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$46K

$165K

$243.5K

How much do data engineer ml jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer ml in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

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Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in the United States 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 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI DATA ENGINEER

New York, NY • On-site

Sidram Technologies
See more jobs at Sidram Technologiesexternal

$125K - $150K/yr

Full-time

Posted 3 days ago

New

Job description

NOW HIRING: AI DATA ENGINEER

Client: Altimetrik / S&P Global

Location: Princeton, NJ & NYC, NY – HYBRID

Employment: FULL-TIME

Experience: 15+ Years Required

KEY REQUIREMENTS:

15+ years of overall IT experience

5–7+ years of hands-on Data Engineering

2+ years focused on AI/ML workloads

Expert Python and SQL

Strong Databricks & Apache Spark

Machine Learning lifecycle: training, deployment & monitoring

MLflow / model registry / experiment tracking

Feature engineering & ML data pipelines

MCP Servers and AI data distribution via MCP

Vector databases, embeddings & similarity search

AI model metadata, lineage & performance tracking

Real-time monitoring, drift detection & data quality

AI/Data Governance and security controls

Knowledge graphs and AI model relationships/dependencies

Strong collaboration with Data Scientists, ML Engineers & Architects

⭐ NICE TO HAVE:

Generative AI / RAG / Fine-Tuning

LangChain / HuggingFace

Azure ML / AWS SageMaker / Google Vertex AI

Neo4j / Amazon Neptune

Model explainability & interpretability

ML A/B testing frameworks

Databricks / AWS / Azure / GCP certifications

Open-source ML contributions or publications

SEND RESUME

Rachael

rachael@sidramtech.com

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