Booz Allen Hamilton is seeking a Data Engineer to help build data pipelines and scalable platforms that organize both structured and unstructured data, enabling insights across mission-driven projects. In this role, you will collaborate with cross-functional teams to guide data engineers, analysts, developers, and data consumers in a fast-paced environment, turning data into actionable capabilities for clients.
Details
- Location: Reston, VA (onsite)
- Salary: USD 77,600 - 176,000 per year
- Experience required: 5+ years
- Education: HS diploma or GED
Responsibilities
- Build advanced technology solutions and execute data engineering activities on mission-driven projects.
- Deploy and develop pipelines and platforms that organize disparate data and give it meaning.
- Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in an agile environment.
- Manage the assessment, design, construction, and maintenance of scalable platforms for clients.
- Leverage experience in analytical exploration and data examination to support platform design, building, and ongoing maintenance.
Requirements
- 5+ years of experience creating software for retrieving, parsing, and processing 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 delivering solutions within a collaborative, cross-functional team
- 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 operation of data platforms
- TS / SCI clearance
- HS diploma or GED
- Ability to obtain a Security+ Certification within 30 days of start date
Technologies
- Python, SQL, Scala, Java
- GitLab, GitHub, Bitbucket
- UNIX, Linux, Shell scripting
- AWS, Azure, Google Cloud
- Spark, Databricks, Hadoop, Hive, AWS EMR
- Kafka, MongoDB, Cassandra, AWS Redshift, MySQL, Snowflake
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Nice to have
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with a public cloud including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience working on real-time data and streaming applications
- Experience with NoSQL implementations such as MongoDB or Cassandra
- Experience with Databricks
- Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
- 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 $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity verification
As part of the hiring process, an identity verification process that leverages advanced biometrics and artificial intelligence will be used to ensure authenticity. You may be on camera during interviews and assessments, and Booz Allen reserves the right to capture your picture to verify identity and prevent fraud.
Candidate AI usage policy
AI is a part of Booz Allen's daily work, and the company supports responsible use of AI tools. The use of artificial intelligence or other tools to assist with responses during interviews is prohibited unless explicit permission is granted.
Work model
Onsite roles are performed primarily at a Booz Allen office or customer facility, with collaboration required in person. Hybrid roles may require frequent work from Booz Allen facilities and occasional visits to customer facilities. Remote roles may entail periodic in-person requirements at Booz Allen or customer sites as needed.
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.