Data Engineer, Senior

Job Number: R0249993 Data Engineer, Senior The Opportunity: As aSenior 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. 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 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 compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Phase2 Technology