Data Engineer W2

Job Title: Data Engineer
Work Location: Woonsocket, Rhode Island- in hybrid mode
Hire Mode: Contract W2

Role Focus (as clarified)

Primary priority: Cloud Data Engineering on GCP
Core skills: Dataflow, DAGs/Composer, Python, Scala
ML: Nice‑to‑have / bonus (not a must‑have)
Required Qualifications

5+ years of experience building data pipelines or backend data workflows using Python, Java, or similar languages.
2+ years of experience designing REST/GraphQL data services or integrating data APIs.
Hands‑on experience working with ML/AI model integration in production (e.g., Vertex AI Endpoints, TensorFlow Serving, ML REST APIs).
Experience handling structured and unstructured datasets, including healthcare data (Rx claims, clinical documents, NLP text).
Familiarity with the end-to-end ML lifecycle: data ingestion, feature engineering, training, deployment, and real‑time inference.
2+ years of experience with cloud platforms (GCP preferred; AWS or Azure acceptable).
2+ years working with streaming platforms like Kafka or equivalent.
2+ years of experience with databases (Postgres or similar relational systems).
2+ years of experience with CI/CD tools (GitHub Actions, Jenkins, Argo CD, etc.).
Preferred Qualifications

Direct, hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, GKE, Composer and Vertex AI.
Knowledge of Kubernetes concepts and experience running data services or pipelines on GKE.
Strong understanding of distributed systems, microservice patterns, and data‑centric system design.
Experience using Vertex AI, Kubeflow, or other ML orchestration platforms for model training and serving.
Knowledge of GenAI pipelines, LLM prompt workflows, and agent orchestration frameworks (e.g., LangChain, transformers).
Experience deploying Python-based ML/NLP services into microservice ecosystems using REST, gRPC, or sidecar architectures.
Domain experience in healthcare, claim adjudication, or Rx data processing.