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Electronic Health Record Data Engineer

Bah Open · verified Oct 24, 2026
Bethesda Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Bah. Bethesda · full-time · $62,000–$141,000 base.

SalaryStated by Bah
$62,000 – $141,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationBethesda
EmploymentFull-time
Base pay$62,000–$141,000
PostedSep 21, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run data pipelines and platforms that bring information from separate sources into useful formats
  • Create scalable ETL and ELT workflows to prepare structured and unstructured data for reporting and analysis
  • Convert hospital and EHR records into consistent, analyzable formats, then help monitor and operate the platforms
  • Work with analysts, engineers, developers and data users to assess, design and maintain scalable data platforms

What you bring

  • At least three years developing and maintaining enterprise-scale data applications
  • At least three years handling structured and unstructured data and building scalable workflows for analytics
  • Hands-on ability with Python, Java, SQL, Scala or NoSQL, plus distributed data tools or a public cloud
  • A bachelor’s degree and the ability to qualify for a Public Trust or Suitability/Fitness determination

Who this fits

This mid-level role suits someone who can build data applications and pipelines, including work with hospital or EHR data. You’ll collaborate with a multidisciplinary team. Applicants may need to meet U.S. government client eligibility requirements, and interviews and assessments require you to be on camera.

From the employer

Electronic Health Record Data Engineer

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:  

  • 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

Nice If You Have:  

  • 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

 

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our 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. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.