Remote Work:

No

Job Number:

R0234574

Location:

San Diego,CA,US

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 an experienced data engineer like you to help our clients find answers in their data to impact important missions.  

As a Data Engineer, you will be at the forefront of unlocking the potential within vast datasets. You will be responsible for designing, building, and maintaining the scalable data pipelines and infrastructure necessary to support our advanced analytics, machine learning, and artificial intelligence initiatives. Your work will involve everything from data extraction and transformation to loading and modeling, ensuring that data is ready for analysis and use in cutting-edge applications. You will collaborate with data scientists, AI/ML engineers, and solutions architects to solve complex problems and deliver data-driven solutions for our clients.

You will design, construct, install, test, and maintain highly scalable data management systems and robust data pipelines. In supporting this effort, you will perform comprehensive data cleaning, anomaly detection, and preparation to ensure data quality and integrity. You will collaborate with mission partners to prepare, format, and tag existing documentation and data to be used by an internal generative AI tool. You will integrate new data sources and manage data flows across various systems. You will assist with the implementation of enterprise IT systems, applications, and infrastructure, ensuring security and compliance. You will work with database management systems, knowledge graphs, ontologies, and vector databases. You will support the operationalization of models through enterprise DataOps, DevSecOps, and MLOps processes.

Work with us to use data for good.

Join us. The world can’t wait. 

You Have:  

• 3+ years of experience in Data Engineering, Data Science, or Software Engineering

• Experience with Palantir products such as AIP, Gotham, and Foundry 

• Experience with database management, data modeling, data cleaning, and both structured and unstructured data

• Experience in programming with languages such as Python, R, Java, or C++

• Experience with SQL and procedural SQL languages, such as PL/SQL or pgSQL

• Knowledge of cloud services, including AWS, Azure, or Google Cloud

• TS/SCI clearance

• Bachelor’s degree in Computer Science, Computer Engineering, or Data Science

Nice If You Have:  

• Experience with big data technologies, such as HDFS, Accumulo, Hive, Kafka, and Spark

• Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets

• Experience implementing AI/ML solutions and deploying models, including LLMs, locally or via cloud technologies

• Knowledge of enterprise CI/CD practices and tools, such as Git, Jenkins, and Docker

• Knowledge of federal information security policies, standards, and risk management processes

• Master’s degree in a relevant technical field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $77,600.00 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.

Identity Statement

As part of the application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.