Managing Engineer, Lead

Job Number: R Managing Engineer, Lead Key Role: Implement data engineering activities on business-critical complex projects, including helping to shape the architecture, security strategies, and engineering practices. Lead a team and directly support the development and deployment of data pipelines, APIs, and integrations. Work with a multi-disciplinary team of analysts, data engineers, and data consumers in an agile environment. Handle difficult challenges while you sharpen the skills of your team in data engineering practices and data examination while you support the assessment, design, development, and maintenance of scalable platforms and tools. Due to the nature of work performed within this facility, U.S. citizenship is required. Basic Qualifications: 3+ years of experience integrating activities across stakeholder groups and managing engineering teams, including requirements, schedule, risk, and communication or engagement 3+ years of experience leading and influencing diverse talent, both internal and external, managing risks and budgets, monitoring scope creep, documenting requirements, and implementing elements of the agile life cycle 2+ years of experience with a coding language such as Python or Scala 2+ years of experience with the entire ETL pipeline, including data acquisition, data prep, and database architecture 2+ years of experience in a client-facing or business partner role, including engagement with senior leaders Experience with agile project management, including managing and executing sprints, evaluating real-time progress and lessons learned, and re-assessing priorities Experience with data engineering projects supporting data science and AI/ML implementations Ability to develop scripts and programs for converting various types of data into usable formats and supporting the project team to scale, monitor, and operate data platforms Bachelor's degree Additional Qualifications: Experience with development within a public cloud, including Microsoft Azure or AWS Experience with analytics notebooks such as Jupyter and Databricks Experience with distributed data or computing tools such as Spark and Databricks Experience working with large data volumes and processing Ability to display initiative and solve problems with little guidance Ability to build trust and develop relationships with a diverse group of leaders Ability to be collaborative, resourceful, and achieve results in a matrixed environment Possession of excellent analytical and quantitative skills 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 $96,600.00 to $220,000.00 (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. EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Created: 2024-10-30