Managing Engineer, Lead

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:

• 5+ years of experience with integrating activities across stakeholder groups and managing engineering teams, including requirements, schedule, risk, and communication or engagement

• 5+ years of experience with 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

• 4+ years of experience with a coding language, such as Python or Scala

• 4+ 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 support project team to scale, monitor, and operate data platforms

• Bachelor's degree in an Engineering field, such as Software Engineering or Data Science

 

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

Create Your Career:

Grow With Us

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.

Your Candidate Journey

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.