Sr. AI Data Engineer

HYBRID - Charlotte NC Only W2 - No Corp to Corp OPEN TO SPONSOSRSHIP PLEASE NO -OPT'S OR EAD'S MUST HAVE • Programming: Strong Python and SQL skills. • Data Engineering: ETL/ELT, data modeling, data integration, batch processing, and streaming pipelines. • Big Data Technologies: Apache Spark, PySpark, Kafka, or similar technologies. • Cloud Platforms: AWS, Azure, or GCP. • Data Platforms: Snowflake, Databricks, BigQuery, Redshift, or Azure Data Lake. • AI/ML Data Engineering: Experience preparing datasets for machine learning and AI applications. • Generative AI: Understanding of LLMs, RAG architecture, embeddings, document processing, and vector search. • Vector Databases: Experience with Pinecone, Weaviate, Chroma, FAISS, or Azure AI Search is desirable. • Data Formats: JSON, Parquet, Avro, CSV, XML, and other structured or semi-structured formats. • DevOps: Git, CI/CD pipelines, Docker, orchestration, and automated testing. • Workflow Orchestration: Airflow, Azure Data Factory, AWS Glue, or similar tools. Preferred Qualifications • Experience building data pipelines for Generative AI and enterprise AI solutions. • Familiarity with frameworks such as LangChain or LlamaIndex. • Experience with feature engineering, feature stores, and ML data preparation. • Knowledge of model serving, MLOps, and data observability. • Experience processing unstructured data, including documents, images, and text. • Understanding of data governance, PII handling, encryption, and enterprise security. • Relevant bachelor's or master's degree in Computer Science, Data Engineering, or a related field.