Huntsville, Alabama on-site opportunity with Booz Allen Hamilton offers a comprehensive benefits package, a people-first culture, and opportunities for professional growth. The Senior Data Engineer will build data pipelines and platforms to organize disparate data for mission-driven projects and guide cross-functional teams in a fast-paced setting.
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Responsibilities
- Design and implement advanced technology solutions and data engineering activities on mission-driven projects
- Deploy and develop pipelines and platforms that organize disparate data into meaningful, accessible formats
- Collaborate with and lead a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
- Apply analytical exploration and data examination skills to manage the assessment, design, building, and maintenance of scalable data platforms for clients
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 data pipelines, automating large-scale batch and streaming data workflows, and processing structured, unstructured, or event-streaming data
- 5+ years of experience coding in SQL, Python, Scala, Spark, or Java
- Experience tuning data lake architecture to optimize cloud storage and pipeline performance
- Experience with data management solutions addressing data catalog, data usage, governance policies, and lifecycle management
- Top Secret clearance
- Bachelor’s degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years of experience in lieu of a degree
Technologies
- SQL, Python, Scala, Spark, Java
- AWS EMR, AWS Glue
- Azure Dataverse, Azure Data Factory
- Power Apps, Apache NiFi, AirFlow
- Databricks, Snowflake, Redshift, BigQuery
- Elasticsearch, Solr, MongoDB, Cosmos DB
- AWS, Azure
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Top Secret clearance is required.
Compensation
The typical base salary range for this position is USD 77,500 to 176,000 per year. Booz Allen determines compensation based on location, education, expertise, and experience, as well as contract-specific factors. This range represents typical starting guidance and is one component of Booz Allen’s total compensation.
Identity verification
As part of the hiring process, an identity verification step uses advanced biometrics and artificial intelligence to confirm authenticity and prevent fraud. Interview and assessment sessions may require you to be on camera, and Booz Allen may take your picture to verify identity.
Candidate AI usage policy
AI is part of daily work at Booz Allen, and the company supports responsible and ethical use of AI tools. Interviews should reflect your own skills and knowledge, and the use of AI to assist with responses is prohibited unless explicit permission is provided.
Work model
Our people-first culture emphasizes collaboration, whether in person or virtually. For this onsite role, work will primarily take place at a Booz Allen office or customer facility, with some potential in-person requirements at Booz Allen or customer sites. The policy also describes remote and hybrid options, including expectations around in-person collaboration and on-site visits as needed.
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.
