Data Engineer, Senior

Data Engineer, Senior

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. 

As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

What You'll Do:

• Design, develop, and maintain scalable data pipelines for ingestion, processing, and distribution of large datasets
• Implement data engineering best practices including data quality monitoring, testing, and documentation
• Manage secure data transfers across government networks while ensuring compliance with security protocols
• Process, analyze, and optimize geospatial datasets for various analytical and operational use cases
• Collaborate with data scientists, data visualization experts, and subject matter experts to understand data requirements and deliver solutions
• Monitor pipeline performance, troubleshoot issues, and implement optimizations
• Maintain data governance standards and ensure data lineage documentation
• Support data architecture decisions and contribute to technical design reviews

Join us. The world can't wait.

You Have:   

• 2+ years of experience in Python and SQL
• Experience with PySpark, Java, Scala, or Go
• Experience building and maintaining production data pipelines to support high-volume, real time processing
• Experience with secure data transfer protocols and working within and across government network environments, such as NIPR, SIPR, or JWICS
• Knowledge of ETL/ELT processes, data modeling, data warehousing concepts, and data quality frameworks
• TS/SCI clearance
• Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field

Nice If You Have:   

• Experience working in the Databricks environment, including coding and managing workflows
• Experience with geospatial data formats, such as Shapefile, GeoJSON, and KML, coordinate systems, and geospatial processing libraries such as GDAL, Geopandas, and PostGIS
• Experience with Git and collaborative development workflows
• Experience with AWS, Azure, or GCP data services, such as S3, RDS, or BigQuery
• Experience with Docker and Kubernetes for pipeline deployment
• Experience working in Agile or Scrum development environments
• Experience with streaming data processing and real-time analytics
• Experience with tools like Qlik, Tableau, PowerBI, or open-source alternatives
• Knowledge of Terraform, CloudFormation, or similar tools
• Knowledge of ML pipeline development and MLOps practices

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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141, 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 Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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