Data Engineer role at Booz Allen Hamilton in Wharton, NJ (onsite).
Responsibilities
- Design and implement data pipelines and platforms that organize disparate data to derive meaningful insights.
- Contribute to advanced technology solutions and execute data engineering activities on mission-driven projects.
- Collaborate with and guide a cross-functional team of analysts, data engineers, developers, and data consumers in an agile environment.
- Apply analytical exploration and data examination expertise while overseeing the assessment, design, build, and ongoing maintenance of scalable data platforms for clients.
Requirements
- 5+ years in database management tasks, including data validation, maintenance, and optimization
- 5+ years developing and maintaining scripts and code for data processing and automation
- 3+ years designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
- 3+ years creating software or managing digital platforms for retrieving, parsing, and processing structured and unstructured data
- 3+ years building scalable ETL and ELT workflows for reporting and analytics
- Experience delivering solutions within a collaborative, cross-functional team
- Ability to develop scripts and programs to convert various data types into usable formats and support scaling, monitoring, and operation of data platforms
- Secret clearance
- Bachelor’s degree
Technologies
- Python
- R
- SQL
- Scala
- Java
- UNIX
- Linux
- Shell scripting
- AWS
- Microsoft Azure
- Google Cloud
- Power BI
- Tableau
- Spark
- Databricks
- Hadoop
- Hive
- AWS EMR
- Kafka
- MongoDB
- Cassandra
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
The Opportunity
As data sources expand through IoT, machine learning, and artificial intelligence, there is more structured and unstructured data available than ever before. A data engineer helps organize this data to enable meaningful insights from disparate sources and supports mission-driven work across use cases such as fraud detection, cancer research, and national intelligence.
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Identity Verification
As part of the hiring process, you may be asked to complete an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify identity and prevent fraud.
Candidate AI Usage Policy
AI is part of Booz Allen's daily work, and the firm is committed to responsible and ethical use of AI tools. The candidate process will be based on your skills and knowledge, and the use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.
Work Model
- Remote: May require occasional in-person work at a Booz Allen or customer facility
- Hybrid: Frequent in-office work at a Booz Allen facility, with possible visits to customer facilities
- Onsite: Primarily performed at a Booz Allen office or customer facility, with collaboration requirements
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
Compensation
The projected compensation range for this position is USD 77,600 to 176,000 per year, with final pay determined by location, education, experience, skills, and contract-specific requirements.
Nice If You Have
- Experience with Python, R, SQL, Scala, or Java
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with a public cloud such as AWS, Azure, or Google Cloud
- Experience with Power BI, Tableau, or similar analytics and visualization tools
- Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience working with real-time data and streaming applications
- Experience with NoSQL technologies like MongoDB or Cassandra
- Experience with manufacturing and supply chain data analysis, including production, procurement, inventory, logistics, supplier, and operational performance data
- Experience with Agile engineering practices
- TS/SCI clearance with a polygraph
