Data Engineer, Senior

Data Engineer, Senior The Opportunity:  As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines. Your key tasks will include creating and optimizing end-to-end data flows, handling ETL processes including extract, transform, and load, designing data models, ensuring data security and compliance, collaborating with cross-functional teams, and continuously improving performance and scalability. Your expertise will bridge the gap between raw data and actionable insights, enabling efficient data processing and analytics across the business. 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.  Work with us to use data for good. Join us. The world can’t wait.  You Have:    7+ years of experience in designing and developing ETL processes and managing data pipelines Experience using various AWS services, including AWS Glue, Amazon S3, and Amazon RDS Knowledge of performance optimization techniques for ETL jobs, such as partitioning, bucketing, and caching Ability to troubleshoot and improve query performance Ability to develop and deploy ETL processes with limited visibility, utilizing comprehensive logging and robust error handling mechanisms to troubleshoot and resolve issues Ability to proficiently write Python and PySpark code for ETL scripts and custom transformations Ability to proficiently write SQL queries on a PostgreSQL database Ability to design and implement data models, define schemas, and optimize data structures for efficient querying and analytics Public Trust Bachelor’s degree in Computer science, Computer engineering, Information systems, or technology Nice If You Have:    Experience with cloud-native data services such as AWS Lambda or Google Cloud Functions and leveraging serverless architectures for data processing Experience ensuring data quality, privacy, and security Knowledge of data governance practices, data lineage, and compliance requirements such as GDPR and CCPA Knowledge of tools like Apache Atlas, AWS Glue Data Catalog, or Collibra for managing metadata, data lineage, and cataloging data assets Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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. 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 visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen 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 $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total