Machine Learning Data Engineer 

Machine Learning Data Engineer 

Hiring the right people to succeed as Machine Learning Data Engineers is essential for building scalable, high-performance data pipelines and enabling advanced analytics and AI model deployment across business operations.


We deliver Machine Learning Data Engineers who are skilled in data architecture, ETL development, model integration, and cloud-based infrastructure. Our professionals meet the specific needs of your role in terms of skill set, experience, culture fit, and other requirements.

Roles and Skills

ECLARO delivers top talent for a variety of Machine Learning Data Engineering roles, tailored to support machine learning lifecycle needs in sectors such as finance, healthcare, tech, and retail. Although the specifics and titles may vary for each organization, our experienced recruiters have a track record of success in helping organizations hire at all levels 

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Junior Machine Learning Data Engineers 

Assist in data preparation, cleaning, and ingestion, support ETL tasks, and maintain ML pipeline documentation 
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Mid-Level Machine Learning Data Engineers 

Design and build data pipelines, integrate data from multiple sources, support model training workflows, and monitor data quality 
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Senior Machine Learning Data Engineers 

Lead data engineering architecture, implement CI/CD for ML models, manage data lake/warehouse environments, and ensure production scalability and performance 

Tools and Technologies

The Machine Learning Data Engineers we source for our clients are proficient in a wide range of tools and technologies that support end-to-end machine learning operations. These include, but are not limited to 

Programming & Scripting

  • Python
  • Scala
  • SQL
  • Java

Big Data Frameworks

  • Apache Spark
  • Hadoop
  • Kafka

Cloud Platforms

  • AWS (Glue, S3, SageMaker)
  • Azure (Data Factory, ML)
  • Google Cloud (BigQuery, Vertex AI)

ML Ops & Data Tools

  • Airflow
  • MLflow
  • Docker
  • Kubernetes
  • Snowflake
  • Databricks

Services and Benefits

When you choose ECLARO for your Machine Learning Data Engineer staffing needs, you are not just hiring a developer; you are investing in scalable AI capabilities, clean and accessible data, and continuous innovation. Our services provide 

Business Excellence

Ensure your machine learning solutions are built on clean, reliable data architectures that support accuracy and business relevance 

Growth & Scale

Build robust engineering teams that can scale model deployment across departments and adapt to evolving ML and data science strategies 

Efficiency

Streamline model development and deployment with engineers who can automate workflows, improve data access, and integrate seamlessly into DevOps pipelines 

The ECLARO Process: How We Work with You to Find the Right Machine Learning Data Engineer

Our talent acquisition process is designed to be effective and efficient

Initial Consultation

Understand your data strategy, ML use cases, and technical environment 

Candidate Selection

Provide a shortlist of qualified Machine Learning Data Engineers tailored to your tech stack and goals 

Interview and Assessment

Facilitate interviews and technical evaluations 

Onboarding

Smooth integration of the Engineer into your ML or data engineering team 

Ongoing Support

Continuous support to ensure success and retention.

Discover

Work with the client to determine needs in terms of personnel count and the skills required to meet immediate and ongoing business objectives.

For further inquiries or to start the hiring process, please contact us

We would love to discuss your specific Machine Learning Data Engineering talent needs today! Please click the Contact Us below to schedule a consultation with an ECLARO expert.

Contact Us