Electronic Health Record Data Engineer
Booz Allen Hamilton
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Job summary
Booz Allen Hamilton is seeking an experienced Data Engineer to design, build, and maintain enterprise-scale data applications and pipelines that organize structured and unstructured data for analytics.
You will work with cross-functional teams, guiding data engineers and developers to deploy scalable platforms and enable real-time data processing on mission-driven projects.
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.
Responsibilities
- Design, build, and maintain data applications at enterprise scale.
- Develop pipelines and platforms to organize disparate data for analytics.
- Lead cross‑functional, collaborative teams on data projects.
Skills
Education
Tools
Job description
Join a culture of empowerment and connectivity.
Learn the skills you need to accelerate your career.
Discover benefits that support your life and work.
Build mission-ready tech that protects the nation.
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 an experienced data engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can’t wait.
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 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
Experience with UNIX and 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
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $77,600.00 to $176,000.00 (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.
Electronic Health Record Data Engineer
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 an experienced data engineer like you to help our clients find answers in your data to impact important missions—from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can’t wait.
- 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
- Experience with UNIX and 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
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $77,600.00 to $176,000.00 (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.
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.
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.
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.
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.
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