Data Engineer W2

Job Information

Job Title:

Data Engineer

Work Location:

Woonsocket, Rhode Island- in hybrid mode

Hire Mode:
Contract W2

Primary priority:
Cloud Data Engineering on GCP

Core skills:
Dataflow, DAGs/Composer, Python, Scala

ML:
Nice‑to‑have / bonus (not a must‑have)

• 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, Tensor Flow 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 (Git Hub Actions, Jenkins, Argo CD, etc.).

• Direct, hands‑on experience with Google Cloud Platform, especially Big Query, 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., Lang Chain, 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.