Data Engineer, Lead

Key Skills

JavaScript, Java Programming, Oracle, Python Programming, MongoDB, Database, SQL, Git, Azure, AWS, Apache Hadoop, Zookeeper, Apache Kafka, Jenkins, Tableau, Apache Hive, Snowflake, Docker, PostgreSQL, R Programming, MySQL, Amazon RedShift, SPARK Programming, Bash scripting, Databricks, Splunk, ETL frameworks, Data Analysis

Job Description

You are an innovative technologist who will be tasked with solving complex data problems with real-world impacts by applying industry-leading solutions and approaches. Lead the way in defining the capabilities, technical stack, and cloud architecture to deliver next-level data insight and analytics solutions. You will consult and partner with our clients to define and implement data solutions across a variety of problem sets. As an industry expert, you will be empowered to design solutions that will deliver material benefits to our business, while ensuring the underlying infrastructure is compliant with enterprise requirements for security, scalability, and performance. You will also have opportunities to build, mature, and pass along your skills across Data, Cloud, and DevSecOps.

By collaborating with other engineers across Booz Allen and our clients, you will help define a target state vision for data and how modern cloud technologies can support this vision, while connecting the dots across existing enterprise systems to maintain data integrity and business continuity. Since elements of this architecture will be new, you will play a pivotal role in driving adoption and learning and applying new technologies. Your technical expertise will be vital as you work with key stakeholders and cross-functional teams to ensure standards are met throughout the build and migration process. We are driving transformational change in how Booz Allen and its clients harness their vast troves of data, and we need you to drive the vital changes that will make that possible! This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.

You Have:

• Experience with leading and developing data architecture for operational systems
• Experience architecting and implementing cloud-based data solutions
• Experience establishing and implementing data management solutions that address all aspects of data usage, governance, and life cycle management
• Experience participating in an Agile build and release environment
• Experience with distributed storage technologies, including Apache/Cloudera Hadoop, or public cloud object storage, including AWS S3 or Azure Blob
• Knowledge of defining the strategy and roadmap for large data ecosystems
• Ability to obtain a security clearance
• Bachelor's degree

Nice If You Have:

• Experience with the development of large, mission-critical workflow and document management systems
• Experience managing or integrating with relational databases, including MySQL, PostgreSQL, Oracle, or public cloud services, such as AWS RDS or Azure Database
• Experience with programming languages and technologies, including Docker, Swarm, Saltstack, Bash, JavaScript, Python, Git, Jenkins, Linus, HAProxy, AWS Cloud, ELK, Java, Kafka, MongoDB, and Zookeeper
• Experience with data pipeline and ETL technologies, including Apache NiFi, StreamSets, or AWS Glue
• Experience with cloud service providers, including AWS, Azure, or Google
• Knowledge of data service and deployment frameworks, including Spring, Docker, and Kubernetes
• Knowledge of data warehousing querying solutions, including Apache Hive or Amazon Athena, and Cloud Data Warehouse Services, including AWS Redshift, Azure SQL Data Warehouse, or Snowflake
• Ability to design and build automated code deployment and orchestrate deployment from OS through applications
• Master's degree