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About the Role:
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.
About Revature:
Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.
Key Responsibilities:
Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.
We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.
Note: Work authorization in the country you are applying to is required. Revature does not sponsor work visas
About the Role:
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.
About Revature:
Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.
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.
- Experience: 5 years in Data Engineering, Big Data, or AI/ML Infrastructure Development.
- 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 Google Cloud Platform (Dataflow, Vertex AI, BigQuery).
- 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.
- 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.
Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.
We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.
Note: Work authorization in the country you are applying to is required. Revature does not sponsor work visas