Senior AI/ML Data Platform Engineer

Location: MD (Onsite)
Rate: $45/hr on C2C or 1099
Experience: 10+ Years
Openings: 1
Job Description:
Seeking a Senior AI/ML Data Platform Engineer to build scalable enterprise data platforms, real-time streaming pipelines, AI-powered data services, and governed data products.
Required Skills:
10+ years in data engineering, ML engineering, or data platforms, including 2+ years in production data products/services.
Expert SQL and strong Python programming.
AWS, Azure, or GCP; Redshift, AWS Glue, Azure Synapse, Azure Data Factory, BigQuery, Dataflow, Databricks, or Snowflake.
Apache Kafka, Amazon Kinesis, Apache Flink, or Spark Structured Streaming.
Data modeling, data vault, lakehouse, and data mesh architecture.
Data quality, catalogs, lineage, API design, data contracts, and event-driven architecture.
ML model integration into data pipelines and AI-powered data services.
Data security, access controls, attribute-level masking, audit logging, and governance.
Architecture, technical documentation, mentoring, and collaboration.