Data Engineer

Booz Allen Hamilton is hiring a Data Engineer to support Air Force intelligence, surveillance, and reconnaissance efforts and national security missions. The role involves designing and maintaining data systems, platforms, and pipelines, and helping clients turn data from disparate sources into useful insights.

Responsibilities

• Develop and deploy the pipelines and platforms that make this data meaningful
• Architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, or build data models
• Performing analytical exploration and examination of data
• Leading the assessment, design, building, and maintenance of scalable platforms
• Guide your clients to solve their most pressing challenges

Preferred

• 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, excellent verbal and written communication skills
• Master's degree
• Amazon Certified Solutions Architect certification
• Agile
• DevSecOps
• Atlassian Tools
• Big Data Query Solutions
• Solr
• Elasticsearch
• Scalable Query Engines
• Batch Data Integration
• Real-Time Data Integration
• Cloud Environments
• AWS
• Azure
• Hadoop
• Spark
• Impala
• Zero Trust
• Role-Based Data Access
• Relational Modeling
• Dimensional Modeling
• Emerging Technology Research
• Industry Trend Analysis
• Amazon Certified Solutions Architect
• Independent Research
• Analytical Skills
• Verbal Communication
• Written Communication

Benefits

• 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, including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Employees who do not meet the 20-hours-a-week regular-basis threshold are eligible for select offerings, not inclusive of health benefits.
• Recognition awards for exceptional performance and superior demonstration of Booz Allen’s values.

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• 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 and demonstrate with multiple functional groups to include 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; 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
• TS/SCI clearance is required
• 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, excellent verbal and written communication skills
• Master's degree
• Amazon Certified Solutions Architect certification
• 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

Required skills

• Data Pipelines, Data Modeling, Data Quality, Data Integration, TS/SCI Clearance, Solr, Elasticsearch, AWS, Azure, Hadoop, Spark, Impala

Preferred skills

• Knowledge of Zero Trust and role-based data access design, Knowledge of relational and dimensional modeling, Master's degree, Amazon Certified Solutions Architect certification

Experience

• 2+ years