Electronic Health Record Data Engineer

Booz Allen Hamilton helps clients use advanced technology and data to support mission-driven work. The Electronic Health Record Data Engineer will design, build, deploy, and maintain scalable data platforms and pipelines, including converting hospital and EHR data into harmonized, analyzable formats. The role involves processing structured and unstructured data, supporting real-time ingestion, and collaborating with multidisciplinary teams.

Responsibilities

• Develop and deploy the pipelines and platforms that organize and make disparate data meaningful
• Support the assessment, design, developing, and maintenance of scalable platforms for your clients
• 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

Preferred

• Experience with UNIX or Linux, including basic commands and Shell scripting
• Experience working on real-time data and streaming applications
• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
• Experience with Agile engineering practices
• UNIX/Linux
• Basic commands
• Shell scripting
• Real-time data
• Streaming applications
• Data warehousing
• AWS Redshift
• MySQL
• Snowflake
• Agile engineering

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• A recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• 3+ years of experience in application development and designing, operationalizing, and maintaining data applications at enterprise scale
• 3+ years of experience retrieving, parsing, and processing structured and unstructured data, and building scalable ETL and ELT workflows for reporting and analytics
• Experience working in 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
• Experience with UNIX or Linux, including basic commands and Shell scripting
• Experience working on real-time data and streaming applications
• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
• Experience with Agile engineering practices

Required skills

• Apache Hadoop, Apache Spark, Application Development, Data Engineering, Databricks, ETL/ELT Workflows, Java, MongoDB, NoSQL, Python, Real-Time Data Ingestion, SQL, Scala

Preferred skills

• Experience with Agile engineering practices

Experience

• 3+ years