AWS Databricks Engineer

Senior Databricks Engineer Job Summary: Seeking a Senior Databricks Engineer with strong experience in Databricks, Apache Spark, Delta Lake, and cloud data engineering. The candidate will design, develop, optimize, and maintain scalable data pipelines supporting analytics and AI-driven healthcare applications. Responsibilities: Design and develop scalable data engineering solutions using Databricks and Apache Spark. Build and optimize ETLELT pipelines using PySpark, Python, or Scala. Implement D

Key Responsibilities Pipeline Development Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming). Data Warehousing Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) design star schemas, fact/dimension tables, and aggregate tables for high performance reporting. Data Modeling Create logical and physical data models for

Role: Databricks Engineers/Architects Location: Remote + 25% travel (Headquartered in Fairfax, Virginia) Salary Ranges are 140k-200k based on their experience/skills/level Databricks Engineers/Architects Databricks Engineers/Architects that will be working with Databricks Federal which services numerous government agencies across the United States with specialized Databricks services. Please read ALL BELOW: Preferred Clearances: Government Clearances: Top Secret, Secret, Public Trust, DHS Public

Job Family: Data Science & Analysis, Data Science Consulting Travel Required: None Clearance Required: None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client projects involving large-scale data pipelines, data transformation, platform modernization, and advanced analytics and AI solution delivery. This role focuses on designing, building, and maintaining scalable data solutions using Databricks, Spark, SQL, Python, Delta Lake, and related cloud-nati