Die ganze Ausschreibung von Booz Allen Hamilton
Das ist der Job
As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources.
Darum lohnt es sich
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.
Qualifications • 3+ years of experience in a data engineering, application development, or data science field • 3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale • 3+ years of experience with Python, SQL, Scala, or R • 2+ years of experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS • Experience creating solutions within a collaborative, cross-functional team environment • TS/SCI clearance • Bachelor's degree in a Computer Science, Data Science, or Mathematics field Nice to Have • Experience with Palantir tools such as Foundry or Gaia • Experience with Large Language Models, including both applied and theoretical • Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka • Experience in delivery with the U.S.
Full‑time and part‑time employees working at least 20 hours a week are eligible for Booz Allen’s benefit programs which include health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
EEO Statement 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.
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. We need an experienced data engineer to help our clients find answers in their data to impact important missions.
As a Data Engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and workflows that organize and make disparate data meaningful, with a distinct focus on applied production AI.
You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of analytic solutions for your clients.
Air Force or Department of Defense 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 Salary is determined by various factors, including location, education, skills, and experience.
The projected compensation range for this position is $77,500 to $176,000 annualized USD.
Bereit?
Bewerbung wird direkt an Booz Allen Hamilton übergeben — kein Konto nötig.