Data Engineer

Booz Allen Hamilton • USA, NE, Offutt AFB (201 Lincoln Hwy), NV

11d • $61,900 - $141,000

About The Position

The Data Engineer will support data engineering activities on mission-driven projects supporting Air Force intelligence, surveillance, and reconnaissance (ISR) efforts and national security. Working with analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment, the role develops and deploys data pipelines and platforms and helps grow DataOps capabilities. Work may include architecting data systems, establishing data platforms, building ETL pipelines, writing custom code, interfacing with data stores, ingesting data, building data models, exploring and examining data, and assessing, designing, building, and maintaining scalable platforms to address client challenges. The position requires an active TS/SCI clearance and willingness to take a polygraph exam.

Requirements

• At least 2 years of experience with a programming language.
• At least 2 years of experience developing data pipelines, data models, schema configurations, data quality and 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 show initiative, solve problems with little guidance, collaborate, be 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 at least 2 years of experience as a data engineer, or at least 3 years of experience as a data engineer in lieu of a degree.

Nice To Haves

• 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 independently research emerging technologies and industry trends.
• Excellent analytical and problem-solving skills and excellent verbal and written communication skills.
• Master’s degree.
• Amazon Certified Solutions Architect certification.

Responsibilities

• Develop and deploy data pipelines and platforms that organize data from disparate sources.
• Support data engineering activities for Air Force ISR and national security projects.
• Architect data systems and stand up data platforms.
• Build ETL pipelines, write custom code, interface with data stores, and perform data ingestion.
• Build data models and perform analytical exploration and examination of data.
• Assess, design, build, and maintain scalable platforms.
• Develop scripts and programs to convert different types of data into usable formats.
• Collaborate with multidisciplinary teams and communicate technical solutions to technical and non-technical stakeholders.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level