Data Engineer, Senior
Booz Allen Hamilton1 day ago
Base Salary
$78k - $176k/yr
Responsibilities
- Design, develop, operationalize, and maintain scalable data systems, data warehouses, and data lakes.
- Build and automate large-scale ETL and ELT pipelines and batch and streaming data workflows.
- Parse structured, unstructured, and event-streaming data from disparate sources.
- Assess, design, build, and maintain scalable data platforms for clients.
- Tune data lake architecture to improve cloud storage and pipeline performance.
- Develop data management solutions covering catalogs, usage, governance, and lifecycle management.
- Guide multidisciplinary teams of analysts, data engineers, developers, and data consumers.
- Create and improve automation across multiple technical stacks and continuous delivery pipelines.
Requirements
- 5+ years of experience designing data warehouses or data lakes, RESTful API models, event processing, or business intelligence for software systems.
- 5+ years of experience building scalable ETL or ELT pipelines and automating large-scale batch and streaming workflows.
- 5+ years of experience coding in languages including SQL, Python, Scala, Spark, or Java.
- Experience tuning data lake architecture for cloud storage and pipeline performance.
- Experience with data catalogs, data usage, governance policies, and lifecycle management.
- Top Secret clearance is required.
- Bachelor’s degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years of equivalent experience in lieu of a degree.
- Preferred: 3+ years architecting and designing large-scale enterprise data and analytics systems.
- Preferred: 3+ years using and developing data systems with AWS and Microsoft Azure cloud data products.
- Preferred: experience with Apache Spark, Apache NiFi, Airflow, Databricks, Snowflake, Redshift, or BigQuery.
- Preferred: experience with federal information-system policies, data security, access controls, and data protection techniques.
- Preferred: experience automating continuous delivery pipelines with Jenkins or GitHub.
- Preferred: experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cosmos DB.
- Preferred: experience with AI or ML pipelines and processes.
- TS/SCI clearance with a polygraph and a master’s degree are preferred.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for the company’s benefit programs.
- Employees may be required to work in person at a Booz Allen or customer facility depending on whether the position is remote, hybrid, or onsite.
- Employees working virtually are generally expected to keep cameras on during meetings.
Tech Stack
Categories
Data Engineering
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).