Remote EHR Data Engineer — Real-Time ETL Pipelines

Bah; Bethesda (MD); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen is seeking a data engineer to build pipelines and platforms that organize diverse data sources for analytics and decision support. You will lead cross-functional teams and contribute to mission-driven projects in fraud detection, cancer research, and national intelligence.

The role involves real-time data ingestion, distributed computing, and cloud-based data solutions, with emphasis on scalability, monitoring, and operation.

Qualifications

• 5+ years of experience in application development and designing, operationalizing, and maintaining data applications at enterprise scale
• 5+ years of experience retrieving, parsing, and processing structured and unstructured data, and building scalable ETL and ELT workflows for reporting and analytics
• Experience leading cross‑functional, collaborative teams
• Experience with real‑time or near‑real‑time ingestion pipelines
• Experience with Python, Java, SQL, Scala, NoSQL, including MongoDB or Cassandra
• Experience with distributed data or computing tools including Spark, Databricks, ADF, Hadoop, Hive, AWS EMR, Azure Event Hub and Grid, or Kafka
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Ability to develop scripts or programs that convert various hospital or EHR data into harmonized, analyzable formats, and to support scaling, monitoring, and operation of data platforms
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree

Responsibilities

• Build pipelines and platforms that organize and make disparate data meaningful.
• Lead a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
• Manage assessment, design, building, and maintenance of scalable data platforms.
• Collaborate in a fast-paced, agile environment.

Skills

Python

Java

SQL

Scala

NoSQL

ETL/ELT

Real-time ingestion

Cloud platforms

Cross-functional leadership

Public trust eligibility

Education

Bachelor’s degree

Tools

Spark

Databricks

Hadoop

AWS EMR

Kafka

Azure Event Hub

Job description

Booz Allen is seeking a data engineer to build pipelines and platforms that organize diverse data sources for analytics and decision support. You will lead cross-functional teams and contribute to mission-driven projects in fraud detection, cancer research, and national intelligence.

The role involves real-time data ingestion, distributed computing, and cloud-based data solutions, with emphasis on scalability, monitoring, and operation.