Lead Data Engineer - Python & SQL Expert

Requirements

Must have:

- 5+ years of experience in database architecture and modeling - 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data - 5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics - 5+ years of experience utilizing Python or SQL - 5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka - 2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud - Active Secret clearance - Bachelors degree

Responsibilities:

- Utilize your expertise to design and implement advanced technology solutions - Oversee data engineering initiatives, ensuring the development and deployment of efficient pipelines - Organize and structure disparate data to derive meaningful insights - Mentor and lead a diverse team of analysts, data engineers, developers, and data consumers - Assess, design, build, and maintain scalable platforms for our clients - Foster a fast-paced, agile working environment that encourages collaboration and creativity

Company:

At Booz Allen, we are at the forefront of technology, harnessing emerging trends such as IoT, machine learning, and artificial intelligence to generate crucial insights from diverse data sources. Our focus is on addressing important missions, from fraud detection to cancer research, and we are seeking a skilled Data Engineer to join our team. We offer comprehensive benefits including health, life, disability, financial and retirement plans, paid leave, professional development opportunities, and a recognition program that celebrates outstanding performance. Our work model encourages collaboration, whether in person or virtually, to optimize communication and engagement within our teams. Join us in leveraging data for positive change.