US Tech Solutions is seeking a highly capable Lead Data Engineer with expertise in modern cloud data engineering and AI-enabled data platforms. The role involves designing and building scalable data pipelines, leading engineering teams, and developing AI-driven data solutions, particularly in the healthcare sector.
Responsibilities:
- Design and build scalable batch + streaming data pipelines using Spark, Kafka, Airflow, Databricks, Snowflake, and cloud-native services
- Architect modern Lakehouse / warehouse platforms across AWS, Azure, or GCP
- Develop AI-enabled data solutions including LLM integrations, RAG pipelines, vector search, and intelligent analytics
- Build APIs / microservices using Python / FastAPI for data products
- Lead small to mid-size engineering teams and mentor developers
- Implement governance, monitoring, observability, lineage, and security controls
- Work with healthcare data such as claims, member, provider, patient, clinical, operational, or revenue-cycle data (preferred)
- Partner with business stakeholders and leadership to deliver roadmap priorities
Requirements:
- 7–10 years in Data Engineering / Data Platforms
- Strong Python, SQL, Spark / PySpark
- Hands-on Kafka / streaming platforms
- Databricks / Snowflake / Synapse / Redshift
- Airflow / orchestration tools
- AWS / Azure / GCP experience
- AI exposure: LLMs, RAG, Vector DB, ML pipelines
- Strong architecture + coding ability
- Team leadership experience
- Healthcare / payer / provider / hospital domain
- HIPAA / secure data environments
- Fraud, claims analytics, patient insights, care analytics
- Experience managing offshore/onshore teams