Senior Data Engineer

About the role

Booz Allen is looking for an experienced Senior Data Engineer to help its clients turn data into answers for mission-critical work, from fraud detection to cancer research and national intelligence. You will build advanced technology solutions and implement data engineering activities, deploying and developing pipelines and platforms that organize data from disparate sources. You will work with and guide a multi-disciplinary team of analysts, data engineers, developers and data consumers in a fast-paced, agile environment.

Required profile

• Bachelor's degree and 3+ years of experience in all-source analysis, or 7+ years of experience in all-source analysis in lieu of a degree
• 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
• Team lead experience, creating solutions within a collaborative, cross-functional team

Required skills

• Designing cloud-native data platforms in Amazon Web Services (AWS)
• Cloud migration and modernization experience
• Data pipelines, including data acquisition, data prep and database architecture
• Non-relational and semi-relational databases
• Software for retrieving, parsing and processing structured and unstructured data
• Nice to have: PySpark, Spark, Databricks, EMR, data marts and data warehouses, GitHub, Python, SQL, APIs, AWS certifications

What we offer

• Projected annual salary range of $77,600 to $176,000 depending on location, qualifications and experience
• Health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance and work-life programs
• Recognition awards program for exceptional performance

The work mode depends on the specific listing: remote, hybrid or onsite, with virtual employees generally expected to have their cameras on during meetings.