Lead Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Herndon, VA
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 55% of similar roles. Most pay $133,900–$211,200 — the shaded band above. At the midpoint, this role pays about $162k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1159 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 804 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Lead Data Engineer

As a Data Engineer, Lead, you will join a multi-disciplinary team in an agile environment to lead data engineering activities for mission-driven projects involving fraud detection, cancer research, and national intelligence. You will oversee the assessment, design, building, and maintenance of scalable platforms while managing the development and deployment of pipelines that organize disparate structured and unstructured data into meaningful insights. The role requires expertise in analytical exploration and supervising technical staff to manage complex, distributed data applications at scale. Key technologies include Python, Java, AWS services, Docker, Kubernetes, Helm, Apache NiFi, Kafka, Linux, and MongoDB. You will also manage ETL workflows, CI/CD pipelines, and version control systems while translating technical risks and priorities for executive stakeholders. A TS/SCI clearance with a polygraph is required for this role.

What you'll do

  • Oversee the development and deployment of data pipelines and platforms to organize disparate data sources.
  • Design, develop, and maintain complex, distributed data applications at scale.
  • Build scalable ETL workflows for analytics and reporting using structured and unstructured data.
  • Mentor a multi-disciplinary team of analysts, engineers, developers, and data consumers.
  • Manage project execution by establishing development priorities, tracking dependencies, and managing critical paths.
  • Supervise technical staff and align team capacity with evolving delivery needs in an agile environment.
  • Translate complex technical information, risks, and requirements for executive and stakeholder audiences.

What we're looking for

  • 7+ years of experience leading software application development in an enterprise environment.
  • 7+ years of experience designing, developing, operationalizing, and maintaining complex, distributed data applications at scale.
  • 5+ years of experience retrieving, parsing, and processing structured and unstructured data.
  • 5+ years of experience developing scalable ETL pipelines or workflows for analytics or reporting.
  • Ability to supervise technical staff and lead projects in a collaborative, cross-functional environment.
  • Ability to translate and brief technical information, risks, and dependencies to executive and stakeholder audiences.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree and ability to obtain Security+, SSCP, CCNA-Security, or GSEC certification within 6 months of hire.

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