Senior Electronic Health Record Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bethesda, MD
Salary
$77,600–$176,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k
This role $127k
$63k most similar roles pay here $213k

This role pays less than 76% of similar roles. Most pay $129,500–$198,425 — the shaded band above. At the midpoint, this role pays about $127k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 780 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 757 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior Electronic Health Record Data Engineer

Role Posting Log in to save

As an Electronic Health Record Data Engineer, Senior, you will join a multi-disciplinary team in an agile environment to develop and maintain scalable platforms for mission-driven projects. You will be responsible for the assessment, design, and maintenance of data systems while building pipelines that organize disparate structured and unstructured data into meaningful insights. Your daily work involves creating scripts to convert hospital or EHR data into harmonized formats and managing real-time ingestion workflows. The role requires proficiency in Python, Java, SQL, Scala, NoSQL, MongoDB, Cassandra, Spark, Databricks, ADF, Hadoop, Hive, AWS EMR, Azure Event Hub, Grid, and Kafka. You will also utilize public cloud platforms like AWS, Microsoft Azure, or Google Cloud to solve complex problems involving fraud detection, cancer research, and national intelligence by processing large-scale data for reporting and analytics.

Skills

Python Java SQL Scala NoSQL MongoDB Cassandra Spark Databricks ADF Hadoop Hive AWS EMR Azure Event Hub and Grid Kafka AWS Microsoft Azure Google Cloud UNIX Linux Shell scripting AWS Redshift MySQL Snowflake ETL ELT Agile

What you'll do

  • Develop and deploy pipelines that organize disparate data into meaningful insights.
  • Build scalable ETL and ELT workflows to process structured and unstructured data for reporting.
  • Design, build, and maintain scalable platforms for enterprise-level clients.
  • Create scripts to convert hospital or EHR data into harmonized, analyzable formats.
  • Manage real-time or near-real-time data ingestion pipelines.
  • Oversee the monitoring and operation of large-scale data platforms.
  • Lead cross-functional teams in an agile environment to deliver technical solutions.

What we're looking for

  • 5+ years of experience in application development and maintaining data applications at enterprise scale.
  • 5+ years of experience processing structured/unstructured data and building scalable ETL and ELT workflows.
  • Experience leading cross-functional, collaborative teams.
  • Experience with Python, Java, SQL, Scala, NoSQL (including MongoDB or Cassandra), and distributed tools like Spark, Databricks, or Hadoop.
  • Experience with public cloud platforms including AWS, Microsoft Azure, or Google Cloud.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • Experience with UNIX, Linux, real-time streaming, data warehousing (Redshift, MySQL, Snowflake), or Agile practices (preferred).
  • Bachelor’s degree.

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