Data Engineer

As a Data Engineer at Booz Allen Hamilton, you will build and deploy data pipelines and platforms that organize information from disparate sources. The work supports mission-driven, national security efforts in a fast-paced, agile environment.

Location

Offutt AFB, NE (onsite)

Compensation

The projected compensation range for this position is USD 61,900 to USD 141,000 per year (annualized). This posting will close within 90 days from the posting date.

Summary

In this role, you will develop ETL pipelines, data platforms, and scalable systems to turn raw data into usable capabilities. Responsibilities include architecting data systems, standing up data platforms, performing data ingestion, building data models, and supporting analytical exploration and examination of data. You will also grow DataOps capabilities and guide clients in addressing their most pressing challenges.

Responsibilities

• Develop and deploy pipelines and platforms that make data meaningful
• Grow DataOps capabilities
• Support data engineering activities on mission-driven projects
• Architect data systems
• Stand up data platforms
• Build out ETL pipelines
• Write custom code
• Interface with data stores
• Perform data ingestion
• Build data models
• Perform analytical exploration and examination of data
• Lead the assessment, design, building, and maintenance of scalable platforms
• Guide clients to solve their most pressing challenges

Requirements

• 2+ years of experience with a programming language
• 2+ years of experience with developing data pipelines, data modeling, schema configuration, data quality, standardization techniques, data integration, and data management
• Ability to develop scripts and programs for converting various types of data into usable formats
• Ability to work in a big data environment, learn technical concepts quickly, demonstrate technical solutions, standards, and best practices, and communicate with multiple functional groups, including non-technical stakeholders
• Ability to display initiative and solve problems with little guidance, be collaborative, resourceful, and achieve results in a matrixed environment
• Active TS/SCI clearance and willingness to take a polygraph exam
• Bachelor’s degree in Computer Science or Software Development and 2+ years of experience as a data engineer, or 3+ years of experience as a data engineer in lieu of a degree

Technologies

• Atlassian tools
• Solr
• Elasticsearch
• AWS
• Azure
• Hadoop
• Spark
• Impala

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of company 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

Nice If You Have

• Experience working in Agile or DevSecOps environments, including Atlassian tools
• Experience with rapid-response query solutions on big data platforms, including Solr, Elasticsearch, or similar scalable query engines
• Experience with batch and real-time big data integration frameworks in private or public cloud environments, including AWS or Azure, and technologies such as Hadoop, Spark, or Impala
• Knowledge of Zero Trust and role-based data access design
• Knowledge of relational and dimensional modeling
• Ability to research emerging technologies and industry trends independently
• Possession of excellent analytical and problem-solving skills and excellent verbal and written communication skills
• Master’s degree
• Amazon Certified Solutions Architect certification

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.

Work Model

This position is onsite, and work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Identity Verification and Interview Policy

• You will be asked to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is part of daily work at Booz Allen, and the company is committed to responsible and ethical use of AI tools. Use of artificial intelligence (AI) or other tools to assist with responses during interviews (in person or virtual) is prohibited unless permission is explicitly provided.

Non-Discrimination

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.