Data Engineer, Mid

Job Number: R0242001 Data Engineer, Mid The Opportunity 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. At Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on mission‑driven projects. You’ll develop and deploy 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 supporting the assessment, design, development, and maintenance of scalable platforms for clients. Work with us to use data for good. Responsibilities Develop and deploy data pipelines and platforms that organize and make disparate data meaningful. Support the assessment, design, development, and maintenance of scalable platforms for clients. Collaborate with analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment. Perform analytical exploration and data examination to support missions such as fraud detection, cancer research, and national intelligence. Required Qualifications 2+ years of experience utilizing programming languages, including SQL and Python. 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis. Experience with DoW Risk Management Framework. Experience with Palantir Foundry or Palantir Envision. Experience creating software for retrieving, parsing, and processing structured and unstructured data. Experience developing scalable ETL or ELT workflows for reporting and analytics. Experience creating solutions within a collaborative and cross‑functional team environment. Ability to travel up to 25% of the time. Secret clearance. HS diploma or GED. Preferred Qualifications Experience with distributed data and computing tools such as Spark and Databricks. Experience working on real‑time data and streaming applications. Experience building end‑user applications and back‑end data transformations. Ability to work directly with users and translate real‑world needs into delivered features. TS/SCI clearance. Bachelor’s degree. Palantir AIP and Foundry Foundations Certifications. Clearance Secret clearance required. Applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation Salary is $61,900.00 to $141,000.00 (annualized USD). This range is based on location, education, skills, experience, and other factors. This posting will close within 90 days from the posting date. Benefits Full‑time and part‑time employees working at least 20 hours a week are eligible to participate in Booz Allen’s benefit programs, which include health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. 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. #J-18808-Ljbffr