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Data Engineer

2 months ago

Offutt Air Force Base, Nebraska, United States Booz Allen Hamilton Full time
The Opportunity

As a data engineer at Booz Allen, you'll play a critical role in helping our clients unlock the power of big data to drive mission success. With the increasing volume and complexity of data, we need experienced professionals like you to design, build, and maintain scalable data platforms that meet the needs of our clients.

Key Responsibilities
  • Design and implement data engineering activities on high-impact projects
  • Develop and deploy pipelines and platforms that organize and make disparate data meaningful
  • Work with cross-functional teams to deliver data-driven solutions that meet client needs
  • Stay up-to-date with emerging technologies and industry trends to inform data architecture and engineering decisions
Requirements
  • 3+ years of experience with data engineering and data wrangling, including building highly scalable ETL or DataOps pipelines
  • 3+ years of experience in relational and dimensional modeling techniques, organizing, and structuring data
  • 3+ years of experience in applying principles, best practices, and trade-offs of schema design to various types of database technologies
  • 1+ years of experience with implementing web services, including SOAP and RESTful APIs using microservices architectures and design patterns
  • Experience with programming languages, such as Python, SQL, Scala, Java, or UNIX and Linux shell scripting
  • Experience with Elasticsearch, Logstash, and Kibana
  • 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, and communicate effectively with multiple functional groups
  • TS/SCI clearance
  • HS diploma or GED
Preferred Qualifications
  • Experience working in Agile, DevSecOps teams and environments, including Atlassian tools
  • Experience with implementing rapid response query solutions on Big Data platforms leveraging Solr, Elasticsearch, or scalable query engine implementations
  • Experience in implementing batch and real-time big data integration frameworks and applications, in private or public cloud, including AWS or Azure, using various technologies
  • Knowledge of Zero Trust and how to design data architectures leveraging role-based data access
  • Knowledge of relational and dimensional modeling techniques
  • Ability to conduct research on emerging technologies and industry trends independently
  • Amazon Certified Solutions Architect and Associate Certification
  • TS/SCI clearance with a polygraph
  • Bachelor's degree
Clearance and Compensation

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation is determined by various factors, including location, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $75,600.00 to $172, annualized USD.