The Data Engineer will design, implement, and maintain scalable data pipelines and platforms to support mission driven projects, with a focus on data governance, quality, and integration across diverse sources.
Responsibilities
- Work with stakeholders across functions to capture business needs and convert them into actionable technical designs.
- Develop and enforce data governance practices to maintain data quality, security, and compliance.
- Design, build, install, test, and maintain scalable data management systems aligned with business requirements and industry standards.
- Utilize multiple languages and tools to integrate disparate systems and identify opportunities to source data from external sources.
- Analyze data from diverse source systems to support data integration and reporting requirements.
- Identify and implement internal process improvements, automate manual tasks, optimize data delivery, and redesign infrastructure for greater scalability.
- Develop and refine database schemas and data models to support analytics and reporting.
- Create data tooling to assist analytics and data science teams in building and refining data products.
- Develop communication and technical skills by combining consulting expertise with big data to deliver data centric solutions across the testing and evaluation sector.
- Stay informed about industry trends and emerging technologies to propose strategic enhancements.
Requirements
- Minimum two years of experience designing, building, and operating production ETL or ELT pipelines.
- Two or more years of experience with relational DBMS, including data modeling and schema design.
- Two or more years of experience using Python for data processing and automation.
- At least one year of experience with cloud services.
- Experience integrating data from RESTful APIs and external data sources.
- Experience developing and deploying containerized workloads using Docker.
- Experience with workflow orchestration and CI/CD for data workloads.
- Experience implementing or contributing to logging, monitoring, alerting, and data validation for production pipelines.
- Ability to obtain a Secret clearance.
- Bachelor's degree.
Technologies
- Python
- Docker
- Kubernetes
- Terraform
- CloudFormation
- CDK
- PySpark
- PostgreSQL
- AWS
- RESTful APIs
- Data quality frameworks
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
The Opportunity
Ever expanding technology such as IoT, machine learning, and artificial intelligence means more structured and unstructured data is available than ever before. As a data engineer, organizing data can unlock pivotal insights when sourced from multiple origins. We seek an experienced data engineer to help our clients discover answers in their data and advance critical missions.
As a Data Engineer on our team, you’ll implement data engineering activities and st
Nice If You Have
- Two plus years of experience with PostgreSQL
- One plus year of experience with AWS
- Experience with container orchestration platforms, preferably Kubernetes
- Experience with infrastructure as code, including Terraform, CloudFormation, or CDK
- Experience with PySpark or distributed data processing frameworks
- Experience with data quality frameworks or automated testing for data pipelines
- Knowledge of security and access controls for cloud-based data systems
- Secret clearance
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Salary at Booz Allen is determined by various factors, including location, the individual’s education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, an identity verification process employing advanced biometrics and artificial intelligence is used to ensure authenticity and protect against identity fraud. Candidates are expected to be on camera during interviews and assessments, and Booz Allen may capture your photo for verification purposes.
Candidate AI Usage Policy
AI is integrated into Booz Allen's daily work, and the company promotes responsible use of AI tools. For candidate processes, the use of AI or other tools to assist with responses during interviews is prohibited unless explicit permission is provided.
Work Model
Remote: Occasional in person work at Booz Allen or customer facilities may be required.
Hybrid: Regular work from Booz Allen facilities with potential visits to customer facilities, as directed by leadership and role needs.
Onsite: Primary work at a Booz Allen office or customer facility with direct collaboration with colleagues and clients as 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.
