Analytics Data Engineer

Booz Allen Hamilton • Usa, DC

8d

About The Position

Analytics Data Engineer The Opportunity: Are you passionate about solving problems through technology? As an experienced tech professional, you know that implementing improved digital initiatives with effective data engineering, pipeline optimization, and platform modernization is cru cia l for an organization’s future. You’re eager to apply your advanced experience and Databricks knowledge to redefine what’s possible and achieve it. We’re looking for someone like you to help organizations solve their traditional business challenges with new digital transformation architecture from roadmap to implementation. As a digital transformation architect on our team, you’ll transform federal data systems by implementing scalable data pipelines, medallion architecture, and analytics-ready data layers. Using Python, SQL, Databricks, and AWS services, you'll work alongside key stakeholders and other team members to share your expertise on data ecosystems and implement transformative data platforms and processes. In this role, you'll directly impact federal data transparency and decision-making by migrating legacy SQL Server and Pentaho systems into modern, scalable Databricks workflows, building robust ingestion frameworks, and architecting data layers that enable analytics and future AI-driven initiatives. With opportunities to learn new tools and skills, we focus on growing and collaborating as a team to make the best solutions for our customers. Work with us as we implement new technologies to change federal data management for the better. Join us. The world can’t wait.

Requirements

• 2+ years of experience in data engineering with Databricks, and with Python, including pandas, psycopg2, boto3, and PySpark
• 1+ years of experience with AWS datastores, including RDS, S3, and Redshift
• 1+ years of experience in data modeling and data lake or warehouse architecture
• Experience using Spark and Parquet
• Experience with data process operations and maintenance
• Experience with Linux, RHEL, or Windows
• Knowledge of AI / ML concepts and how data engineering supports machine learning initiatives
• Ability to translate SQL Server stored procedures and ETL logic into Databricks workflows
• Public T rus t
• Bachelor's degree

Nice To Haves

• Experience working in Agile environments
• Experience with AWS DMS
• Knowledge of Jira and Git
• Knowledge of data catalog tools such as Alation
• Knowledge of Databricks AI features such as MLflow, AutoML, or Feature Engineering
• Ability to architect data pipelines with consideration for AI / ML use cases

Benefits

• 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 $86,800.00 to $198,000.00 (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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees