{"id":1775195,"url":"https://alion.io/job/revature-senior-trainer-data-engineering-advanced-ai-integration","title":"Senior Trainer – Data Engineering (Advanced + AI Integration)","company":{"id":2246673,"name":"Revature","domain":"revature.com","url":"https://alion.io/company/revature-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Education","role_family":"Education","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":81},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"Feature Store","optional":true}],"status":"live","first_seen_at":"2025-12-18T00:00:00Z","employer_posted_date":"2025-12-18","last_verified_at":"2026-10-19T02:47:48Z","board_verified":true,"closed_at":null,"days_open":305,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":305},"description":"Revature is rapidly growing - both domestically and internationally - and our Team plays a key role in our Corporate Department.\nWe’re looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.\nOur ideal candidate is based near one of our central offices located in this job posting.\nJob Description:\nExperience Required: Minimum 4- 5 years of professional experience in Data Engineering, Big Data, or related domains.\nPosition Summary:\nWe 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.\nThis 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.\nKey Responsibilities\nDeliver in-depth, interactive, and hands-on sessions on advanced data engineering and AI integration.\nTrain and mentor learners on:Distributed processing using Apache Spark and Databricks.\nData orchestration with Airflow and CI/CD pipelines for data workflows\nReal-time streaming using Kafka and Kinesis\nLakehouse architectures using Delta Lake, Snowflake, and cloud-native solutions\nData preparation for AI/ML pipelines, including feature engineering and dataset versioning\nWorking with MLflow, Databricks AutoML, and AI/ML integrations on cloud platforms\nImplementing data governance, lineage, and monitoring best practices\n\nGuide learners through AI-ready data engineering projects, combining data pipelines with model development and deployment.\nCollaborate with curriculum designers to integrate emerging AI and data science tools (e.g., Vector Databases, MLOps frameworks) into the training modules.\nConduct performance evaluations, code reviews, and one-on-one learner mentoring sessions.\nStay current with AI trends, modern data infrastructure, and cloud-native innovations to continuously enrich the training experience.\nRequired Skills & Qualifications\nExperience: 5+ years in Data Engineering, Big Data, or AI/ML Infrastructure Development.\nTechnical Expertise:Strong programming skills in Python (pandas & numpy) and SQL.\nHands-on experience with Databricks, Apache Spark, and PySpark.\nDeep understanding of data lakes, Delta Lake, and lakehouse architecture.\nProficiency with streaming frameworks such as Kafka or Kinesis.\nExperience with Airflow or other orchestration tools.\nFamiliarity with MLflow, TensorFlow, or PyTorch for data-to-AI workflows.\nCloud expertise in AWS (Glue, Redshift, Sagemaker), Azure (Data Factory, Synapse, ML Studio), or GCP (Dataflow, Vertex AI, BigQuery).\n\nEducation: Bachelor’s or Master’s in Computer Science, Data Science, or related technical discipline.\nExcellent communication, presentation, and mentoring skills.\nPrior experience as a corporate trainer, instructor, or mentor in a data/AI-focused program is preferred.\nReady to deliver on-site and virtual training.\nPreferred Skills/Attributes\nCertifications such as:Databricks Certified Data Engineer or Machine Learning Professional\nAWS Certified Machine Learning - Specialty\nGoogle Professional Data Engineer / ML Engineer\n\nFamiliarity with AI model lifecycle management, feature stores, and MLOps best practices.\nDemonstrated ability to bridge data engineering and AI/ML domains.\nPassion for teaching, mentoring, and simplifying complex, end-to-end data and AI systems.\nWho We Are\nRevature 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.\nOur 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.\nRevature 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.\nRevature is an Equal Opportunity/AffirmativeAction Employer. 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