Data Engineer, Senior

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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.

As a Data Engineer at Booz Allen, 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.

Join us. The world can’t wait.

You Have:

Experience in programming clean, secure, and efficient Java using established coding principles for scripting, data analysis, automation, and potentially data warehousing

Experience with ETL tools, such as Informatica

Experience performing tuning on large datasets in Oracle databases to optimize performance

Experience writing scripts to automate processes in the development workflow, such as 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

Bachelor's degree and 10+ years of experience as a data engineer in a large volume enterprise system or 14+ years of experience as a data engineer in a large volume enterprise system in lieu of a degree

Nice If You Have:

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, especially for performance optimization and security

Knowledge of Oracle database concepts, including partitioning for very large databases (VLDBs)

TS/SCI clearance with a polygraph

Clearance:

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

Compensation

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.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by…