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Open nowFirst seen 67 days ago

Senior Trainer – Data Engineering (Advanced + AI Integration)

Revature7 open roles

Where
Remote Chicago IL
Work mode
Remote
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Your applicationOpen nowSenior Trainer – Data Engineering (Advanced + AI Integration)Revature · Remote Chicago IL

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 67 days ago

The posting

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.

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