Data Engineer, Lead

Booz Allen Hamilton•Herndon, VA

2d•$99,000 - $225,000•Remote

About The Position

As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.

Requirements

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
Experience establishing, documenting, and maintaining clear development priorities and execution plans, ensuring teams understand sequencing, dependencies, critical-path activities, trade-offs, and changes in priorities across multiple concurrent initiatives
Ability to supervise technical staff, such as technical leads, engineers, and testers, and lead projects in a collaborative, cross-functional environment, including assessing the critical path, aligning team capacity to priorities, and pivoting resources as delivery needs evolve
Ability to translate and brief technical information, priorities, risks, dependencies, and critical-path impacts to larger client, executive, and stakeholder audiences
TS/SCI clearance with a polygraph
Bachelor’s degree
Ability to obtain Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire

Nice To Haves

10+ years of experience using Python or Java
5+ years of experience with AWS services and cloud-native architectures
5+ years of experience with Docker, Kubernetes, Helm, container orchestration, and CI/CD workflows
5+ years of experience with Apache NiFi and Kafka for real-time data ingestion and streaming
5+ years of experience with working on real-time data and streaming applications
5+ years of experience with Linux or UNIX, including shell scripting and operational troubleshooting
Experience developing applications and administering non-relational databases, such as MongoDB
Experience improving or establishing enterprise-level CM pipelines, version control discipline, and release management hygiene
Possession of strong communication skills
AWS Certified Solutions Architect, Developer, or SysOps Associate Certification

Responsibilities

Overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Mentoring a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Overseeing the assessment, design, building, and maintenance of scalable platforms for clients.
Leading software application development in an enterprise environment.
Designing, developing, operationalizing, and maintaining complex, distributed data applications at scale.
Retrieving, parsing, and processing structured and unstructured data.
Developing scalable ETL pipelines or workflows for analytics or reporting.
Establishing, documenting, and maintaining clear development priorities and execution plans, ensuring teams understand sequencing, dependencies, critical-path activities, trade-offs, and changes in priorities across multiple concurrent initiatives.
Supervising technical staff, such as technical leads, engineers, and testers, and leading projects in a collaborative, cross-functional environment, including assessing the critical path, aligning team capacity to priorities, and pivoting resources as delivery needs evolve.
Translating and briefing technical information, priorities, risks, dependencies, and critical-path impacts to larger client, executive, and stakeholder audiences.