Data Engineer, Mid

Data Engineer, Mid

Job Number: R0228042

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.

You’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

• Experience programming clean, secure, and efficient Java using established coding principles for scripting, data analysis, automation, and data warehousing
• Experience performing tuning on large datasets in Oracle databases to optimize performance
• Experience writing scripts to automate processes in the development workflow, including building, deploying, or managing Java applications
• Experience with CI/CD practices to automate builds, testing, and deployments
• Experience writing PL or SQL scripts and stored procedures for data manipulation, parsing, and processing within Oracle databases
• Ability to work in a complex enterprise environment and determine the best solution required for business and customer needs
• Ability to manage tasks and projects independently with minimal guidance and direction
• Secret clearance
• Bachelor's degree and 5+ years of experience as a data engineer in a large volume enterprise system, or 9+ years of experience as a data engineer in a large volume enterprise system in lieu of a degree

• Experience with ETL tools such as Informatica
• Experience designing and creating data warehousing solutions
• Experience with Dev Ops tools and principles for collaboration and automation
• Experience working in various SDLC models such as Waterfall, Agile, Iterative, or Spiral
• Experience delivering solutions across all phases of the development lifecycle
• Knowledge of Informatica's role in data warehousing and business intelligence
• Knowledge of the benefits and usage of stored procedures, including for performance optimization and security
• Knowledge of Oracle database concepts, including partitioning for very large databases (VLDBs)
• TS/SCI clearance with a polygraph

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our 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.

Full-time employees are eligible for all benefits. Individuals that do not meet this threshold are only eligible for select offerings, not inclusive of health benefits. Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $ (annualized USD).

This posting will close within 90 days…