Data Engineer, Senior

Data Engineer, Senior

Ever‑expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer at Booz Allen, you’ll help build advanced technology solutions for mission‑driven projects, deploying and developing pipelines and platforms that organize disparate data into actionable insights.

Responsibilities

• Deploy and develop scalable data pipelines and platforms that organize and make disparate data meaningful.
• Work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment.
• Manage the assessment, design, building, and maintenance of scalable data platforms for clients across fraud detection, cancer research, and national intelligence.
• Develop scripts and programs for converting various types of data into usable formats, and support the project team to scale, monitor, and operate data platforms.

Qualifications

• 5+ years of experience in application development.
• 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
• 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics.
• Experience creating solutions within a collaborative, cross‑functional team environment.
• Secret clearance.
• Bachelor’s degree.

Nice to Have

• Experience creating data‑related training curriculum for a large organization.
• Experience with Python, SQL, Scala, or Java.
• Experience with UNIX or Linux, including basic commands and shell scripting.
• Experience with a public cloud (AWS, Microsoft Azure, or Google Cloud).
• Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
• Experience working on real‑time data and streaming applications.
• Experience with NoSQL implementation, including MongoDB or Cassandra.
• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
• Experience with Agile engineering practices.

Compensation

The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

Equal Employment Opportunity

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.