Sr. AI Data Engineer

Job Description

HYBRID - Charlotte NC

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Only W2 - No Corp to Corp

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OPEN TO SPONSOSRSHIP

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PLEASE NO -OPT'S OR EAD'S

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MUST HAVE

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• Programming: Strong Python and SQL skills.

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• Data Engineering: ETL/ELT, data modeling, data integration, batch processing, and streaming pipelines.

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• Big Data Technologies: Apache Spark, PySpark, Kafka, or similar technologies.

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• Cloud Platforms: AWS, Azure, or GCP.

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• Data Platforms: Snowflake, Databricks, BigQuery, Redshift, or Azure Data Lake.

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• AI/ML Data Engineering: Experience preparing datasets for machine learning and AI applications.

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• Generative AI: Understanding of LLMs, RAG architecture, embeddings, document processing, and vector search.

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• Vector Databases: Experience with Pinecone, Weaviate, Chroma, FAISS, or Azure AI Search is desirable.

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• Data Formats: JSON, Parquet, Avro, CSV, XML, and other structured or semi-structured formats.

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• DevOps: Git, CI/CD pipelines, Docker, orchestration, and automated testing.

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• Workflow Orchestration: Airflow, Azure Data Factory, AWS Glue, or similar tools.

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Preferred Qualifications

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• Experience building data pipelines for Generative AI and enterprise AI solutions.

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• Familiarity with frameworks such as LangChain or LlamaIndex.

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• Experience with feature engineering, feature stores, and ML data preparation.

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• Knowledge of model serving, MLOps, and data observability.

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• Experience processing unstructured data, including documents, images, and text.

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• Understanding of data governance, PII handling, encryption, and enterprise security.

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• Relevant bachelor's or master's degree in Computer Science, Data Engineering, or a related field.

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