Booz Allen Hamilton seeks a Data Engineer to join the team onsite in Wharton, New Jersey. The role focuses on building robust data pipelines and scalable platforms, deploying ETL and ELT workflows, and guiding cross-functional teams on mission-driven initiatives that turn diverse data into actionable insights.
Responsibilities
- Develop and operate pipelines and platforms that organize disparate data and render it meaningful for decision makers.
- Contribute to advanced technology solutions and execute data engineering activities on mission-focused projects.
- Collaborate with and mentor a multidisciplinary team of analysts, data engineers, developers, and data consumers in an agile environment.
- Apply analytical exploration and data examination skills while overseeing the design, building, and maintenance of scalable client platforms.
Requirements
- 5+ years of experience in database management activities including data validation, maintenance, and optimization.
- 5+ years of experience 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 working within a collaborative, cross-functional team environment.
- 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 grows from IoT, machine learning, and artificial intelligence, the amount of structured and unstructured information expands. A Data Engineer at Booz Allen helps organize data from diverse sources to uncover insights that inform critical missions, from fraud detection to 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, Booz Allen uses an identity verification process that leverages biometrics and artificial intelligence to ensure authenticity and prevent fraud. Interview and assessment stages may involve being on camera, and the company may capture photographs to verify identity.
Candidate AI Usage Policy
AI is integrated into Booz Allen daily work, and the use of AI tools to assist with interview responses is prohibited unless explicit permission is granted.
Work Model
Work arrangements vary by role and assignment. This position is onsite in a Booz Allen facility or at a customer site, with the possibility of hybrid or remote elements depending on project needs. In all cases, occasional in-person collaboration may be required.
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 annual salary range is $77,600.00 to $176,000.00. Compensation is determined by a variety of factors including location, education, skills, experience, and contract requirements, and represents a typical range for this role.
Nice If You Have
- Experience with Python, R, SQL, Scala, or Java
- Familiarity with UNIX or Linux and shell scripting
- Public cloud experience (AWS, Azure, or Google Cloud)
- Proficiency with Power BI, Tableau, or similar visualization tools
- Experience with distributed data or computing tools (Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka)
- Experience with real-time data and streaming applications
- Experience with NoSQL databases (MongoDB, Cassandra)
- Background in manufacturing or supply chain data analysis
- Agile engineering practices
- TS/SCI clearance with polygraph
