Senior Trainer – Data Engineering; Advanced + AI Integration

Position: Senior Trainer – Data Engineering (Advanced + AI Integration)
Location: New York

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**,
** Tensor Flow**, 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, Big Query)**.
* *
* 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…