Booz Allen Hamilton is seeking a Data Engineer in Albuquerque, NM to design, implement, and maintain scalable data pipelines and platforms that support mission-driven projects.
Responsibilities
- Partner with diverse teams to translate business requirements into robust data solutions.
- Establish and oversee data governance practices to ensure quality, security, and compliance.
- Design, build, deploy, test, and maintain scalable data management systems aligned with business needs and industry standards.
- Use a range of languages and tools to integrate systems or source new data from external sources.
- Analyze data from multiple sources to support integration and reporting needs.
- Identify and implement internal process improvements, automate manual tasks, optimize data delivery, and redesign infrastructure for scalability.
- Develop and optimize database schemas and data models to support analytics and reporting.
- Create data tooling for analytics and data science teams to support their data products.
- Enhance communication and technical skills by blending consulting with big data to deliver data-centric solutions in testing and evaluation.
- Stay informed of industry trends and emerging technologies to propose strategic improvements.
Requirements
- Minimum 1 year of relevant experience, with 2+ years preferred in designing, building, and operating production ETL or ELT pipelines.
- 2+ years working with relational DBMS, including data modeling and schema design.
- 2+ years using Python for data processing and automation.
- 1+ 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
Advances in IoT, machine learning, and artificial intelligence have led to an abundance of structured and unstructured data. As a data engineer, organizing data from diverse sources into coherent, analytics-ready formats enables pivotal insights that support mission-critical work. We seek an experienced data engineer to help clients unlock value from their data and drive impactful outcomes.
Nice If You Have
- 2+ years of experience with PostgreSQL
- 1+ years 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 undergo a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Compensation is determined by location, education, knowledge, skills, competencies, and experience, along with contract-specific requirements. The projected annual salary range is $61,900 to $141,000. This posting closes within 90 days from the posting date.
Identity Statement
As part of the hiring process, you will complete an identity verification process that may use biometrics and AI to ensure authenticity. You are expected to be on camera during interviews and assessments, and photos may be taken to verify your identity.
Candidate AI Usage Policy
AI tools are part of Booz Allen's daily operations. Use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.
Work Model
- Remote: Occasional in-person work at a Booz Allen or customer facility may be required.
- Hybrid: Regular work from a Booz Allen facility with potential visits to customer facilities as needed.
- Onsite: Primarily work at a Booz Allen office or customer facility with direct collaboration.
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 law.
