Revature · 8 hours ago
Senior Trainer – Data Engineering
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. The Senior Trainer - Data Engineering will deliver advanced training on end-to-end data engineering workflows and mentor learners in modern data platforms and AI-driven data systems.
ConsultingCorporate TrainingInformation TechnologyIT ManagementSoftware EngineeringTraining
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
Qualification
Required
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 GCP (Dataflow, Vertex AI, BigQuery)
Bachelor's or Master's in Computer Science, Data Science, or related technical discipline
Excellent communication, presentation, and mentoring skills
Ready to deliver on-site and virtual training
Preferred
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
Company
Revature
We build your future technology workforce today
Funding
Current Stage
Late StageTotal Funding
unknown2019-02-11Acquired
2016-03-07Series A
Recent News
2025-07-23
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