Data Engineer

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means 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 experience d data engineer like you to help our clients find answers in their data to impact important missions from supporting clinical decision-making to accelerating public health modernization.

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, clinical SMEs, 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.

You Have:

3+ years of experience with PySpark and SQL

3+ years of experience with Azure Databricks

3+ years of experience retrieving, parsing, and processing structured and unstructured data

3+ years of experience building scalable ETL or ELT workflows for reporting and analytics

Experience supporting collaborative, cross-functional technical teams

Ability to communicate complex analytic concepts to clinical and public health stakeholders

Ability to develop scripts and programs for converting various types of data into usable formats, and support the team in scaling, monitoring, and operating 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 FHIR-based data and large-scale data processing

Experience with R, Scala, or Java

Experience with UNIX or Linux, and Shell scripting

Experience with public cloud platforms such as AWS, Azure, and GCP

Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, EMR, and Kafka

Experience working with real-time or streaming data systems

Experience with NoSQL tools such as MongoDB and Cassandra

Experience with data warehousing, including Redshift, MySQL, and Snowflake

Experience with Agile met hodologies

Knowledge of EHR or Health IT systems

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 $77,500.00 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.

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