Data Engineer
Job Description
Booz Allen Hamilton offers a mission-driven environment in Reston, VA with onsite collaboration, a comprehensive benefits package, and opportunities for professional growth. This role supports data-driven insights across important projects, backed by a competitive salary range of USD 77,600 to 176,000 per year.
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Responsibilities
- Develop advanced technology solutions and perform data engineering activities on mission-driven projects
- Deploy and maintain pipelines and platforms that organize disparate data into meaningful insights
- Lead a cross-functional team of analysts, data engineers, developers, and data consumers in an agile setting
- Oversee the assessment, design, building, and upkeep of scalable platforms for clients
- Leverage analytical exploration to support the lifecycle of scalable data platforms
Requirements
- 5+ years of experience creating software to retrieve, parse, and process structured and unstructured data
- 3+ years of experience with Python, SQL, Scala, or Java
- 3+ years of experience building scalable ETL / ELT workflows for reporting and analytics
- Experience working in a collaborative, cross-functional team environment
- Experience using version control tools such as GitLab, GitHub, or Bitbucket
- Ability to develop scripts and programs for converting various data types into usable formats and to support scaling, monitoring, and operating data platforms
- TS / SCI clearance
- HS diploma or GED
- Ability to obtain a Security+ Certification within 30 days of start date
Nice to have
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data tools (Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka)
- Experience working on real-time data and streaming applications
- Experience with NoSQL systems (MongoDB or Cassandra)
- Experience with Databricks
- Experience with data warehousing (AWS Redshift, MySQL, or Snowflake)
- Experience with Agile engineering practices
- Bachelor's degree in a Data or IT-related field
- Security+ Certification
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
The projected compensation range for this position is USD 77,600.00 to 176,000.00 per year. This range reflects typical pay for the role and forms one part of Booz Allen's total compensation package. The posting closes within 90 days from the posting date.
Identity verification
As part of the hiring process, candidates will complete an identity verification process using advanced biometrics and AI-based checks. On-camera participation during interviews and assessments may be required, and a photo may be used to verify identity.
Candidate AI Usage Policy
Booz Allen uses AI in daily work and supports responsible AI use. The use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.
Work Model
Onsite: Work will be performed primarily at a Booz Allen office or client facility, with collaboration alongside colleagues and customers as needed.
Commitment to Non-Discrimination
Booz Allen Hamilton provides equal opportunity employment to all qualified applicants without regard to disability, protected veteran status, or any other status protected by applicable law.