Data Engineering Team Lead

Booz Allen Hamilton•Arlington, VA

1d•$99,000 - $225,000

About The Position

Data Engineering Team Lead The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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 professional 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 Engineering Team Lead at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee 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.

Requirements

8+ years of experience designing, building, and maintaining data pipelines in production environments
5+ years of experience leading data engineering teams of at least 10 people responsible for ingest and maintenance of big data clusters
3+ years of experience developing with distributed systems such as Spark, Databricks, or PySpark
3+ years of experience with data lakehouse or warehouse platforms, schema design, and query optimization
3+ years of experience processing data using streaming such as Kafka or Kinesis and batch met hods
Knowledge of structured or unstructured data formats such as Parquet, Avro, JSON, or Delta
Knowledge of data, information, and message exchange structures and standards
DHS Suitability
Bachelor's degree

Nice To Haves

3+ years of experience in data analytics
Experience designing data flows that leverage a medallion architecture
Experience with large scale ElasticSearch clusters and with containerization and orchestration using Docker, Kubernetes, or EKS
Experience with Kafka and Nifi
Experience using AWS
Experience with Python, SQL, Scala, or Java
Experience implementing best practices for data quality, testing, and observability
Knowledge of microservices and integrating with data services
Knowledge of database schema design
Master's degree