ZipRecruiter

Log In

1

Data Engineer Ml Jobs (NOW HIRING)

Akidev Corporation

Data Engineer III

Menlo Park, CA · On-site +1

$134K - $162K/yr

This role sits at the intersection of Data Engineering and ML Systems. The Senior AI Data Engineer will own end-to-end data pipelines that don''t just move and transform data, but enrich it through ...

Samprasoft

Senior ML Data Engineer - Remote

Plano, TX · Remote

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

Masterapp Labs

Data AI/ML Engineer

Milton, GA

Data AI/ML Engineer Location: Alpharetta, GA (Onsite) Interview: MS team interview/In-person We are seeking a Data AI/ML Engineer to join our team supporting UPS in Alpharetta, GA. This role involves ...

New

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 ...

Circadia Health

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Reporting directly to the Lead AI Engineer, you will work closely with backend engineers, ML ... What You'll Do Data Pipeline & Integration Development * Design, build, and maintain scalable data ...

Circadia Health

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Reporting directly to the Lead AI Engineer, you will work closely with backend engineers, ML ... What You'll Do Data Pipeline & Integration Development * Design, build, and maintain scalable data ...

next page

Showing results 1-20

All JobsData Engineer Ml Jobs

Data Engineer Ml information

See salary details

$46K

$165K

$243.5K

How much do data engineer ml jobs pay per year?

As of Jun 19, 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 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.
More about Data Engineer Ml jobs
What cities are hiring for Data Engineer Ml jobs? Cities with the most Data Engineer Ml job openings:
What states have the most Data Engineer Ml jobs? States with the most job openings for Data Engineer Ml jobs include:
What job categories do people searching Data Engineer Ml jobs look for? The top searched job categories for Data Engineer Ml jobs are:
Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 36% Part Time, and 1% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Trainer - Data Engineering (Advanced + AI Integration)

Senior Trainer - Data Engineering (Advanced + AI Integration)

Revature

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Posted 3 days ago

Job description

Revature is rapidly growing - both domestically and internationally - and our Team plays a key role in our Corporate Department.
We're looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.
Our ideal candidate is based near one of our central offices located in this job posting.
Job Description:
Experience Required: Minimum 4- 5 years of professional experience in Data Engineering, Big Data, or related domains.
Position Summary:
We are looking for a Senior Trainer - Data Engineering with strong expertise in modern data platforms and AI-driven data systems. The ideal candidate will be an experienced data engineer capable of delivering advanced training on end-to-end data engineering workflows - from data ingestion and transformation to preparing high-quality datasets for AI and machine learning applications.
This role is central to training the next generation of Data Engineers and AI-ready professionals, leveraging cutting-edge tools such as Databricks, Apache Spark, Kafka, Airflow, Delta Lake, and Snowflake.
Key Responsibilities
  • Deliver in-depth, interactive, and hands-on sessions on advanced data engineering and AI integration.
  • Train and mentor learners on:
    • Distributed processing using Apache Spark and Databricks.
    • Data orchestration with Airflow and CI/CD pipelines for data workflows
    • Real-time streaming using Kafka and Kinesis
    • Lakehouse architectures using Delta Lake, Snowflake, and cloud-native solutions
    • Data preparation for AI/ML pipelines, including feature engineering and dataset versioning
    • Working with MLflow, Databricks AutoML, and AI/ML integrations on cloud platforms
    • Implementing data governance, lineage, and monitoring best practices
  • Guide learners through AI-ready data engineering projects, combining data pipelines with model development and deployment.
  • Collaborate with curriculum designers to integrate emerging AI and data science tools (e.g., Vector Databases, MLOps frameworks) into the training modules.
  • Conduct performance evaluations, code reviews, and one-on-one learner mentoring sessions.
  • Stay current with AI trends, modern data infrastructure, and cloud-native innovations to continuously enrich the training experience.

Required Skills & Qualifications
  • Experience: 5+ years in Data Engineering, Big Data, or AI/ML Infrastructure Development.
  • Technical Expertise:
    • Strong programming skills in Python (pandas & numpy) and SQL.
    • Hands-on experience with Databricks, Apache Spark, and PySpark.
    • Deep understanding of data lakes, Delta Lake, and lakehouse architecture.
    • Proficiency with streaming frameworks such as Kafka or Kinesis.
    • Experience with Airflow or other orchestration tools.
    • Familiarity with MLflow, TensorFlow, or PyTorch for data-to-AI workflows.
    • Cloud expertise in AWS (Glue, Redshift, Sagemaker), Azure (Data Factory, Synapse, ML Studio), or GCP (Dataflow, Vertex AI, BigQuery).

  • Education: Bachelor's or Master's in Computer Science, Data Science, or related technical discipline.
  • Excellent communication, presentation, and mentoring skills.
  • Prior experience as a corporate trainer, instructor, or mentor in a data/AI-focused program is preferred.
  • Ready to deliver on-site and virtual training.

Preferred Skills/Attributes
  • Certifications such as:
    • Databricks Certified Data Engineer or Machine Learning Professional
    • AWS Certified Machine Learning - Specialty
    • Google Professional Data Engineer / ML Engineer
  • Familiarity with AI model lifecycle management, feature stores, and MLOps best practices.
  • Demonstrated ability to bridge data engineering and AI/ML domains.
  • Passion for teaching, mentoring, and simplifying complex, end-to-end data and AI systems.

Who We Are
Revature is a tech career launch pad and the largest employer of entry-level technology talent in the U.S. The company works with Fortune 500 companies, government organizations, and top systems integrators to grow their business by hiring, training, and deploying top tech talent.
Our mission is to create a pathway for candidates from diverse experiences and educational backgrounds to reach their potential as technology professionals. Alumni of the Revature program work on innovative, challenging, and rewarding software development projects across the United States.
Revature has trained over 7000 software engineers across 54 technical disciplines, recruited talent from 700 universities, and deployed them to blue-chip companies throughout the U.S. We have proudly committed to training 1 million developers over the next decade, helping to close the opportunity gap in tech and supporting the future of work.
Revature is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetic information, age, marital status, protected veteran status, or disability status.

Apply