Data Engineer

As a Data Engineer on our team, you will gather requirements, design Lakehouse data architecture, build Databricks ingestion and governance pipelines, manage lineage and metadata, optimize data flows, enforce security and access controls, and support multi-cloud analytics and ATO-ready operations. You will also develop documentation including Data Flow Diagrams, Data Ingestion Plans, Storage Architecture Documents, and Lakehouse Integration Plans. Real-time visibility into master data and metadata management is expected to ensure transparency and effective data stewardship.

Join us. The world can't wait.

Experience in designing Lakehousearchitecturesand building Databricks ingestion and governance solutions

Experience in producing Data Flow Diagram and Documentation, Data Ingestion Plan, Data Storage Architecture Document, or Data Lakehouse Integration Plan

Experience managing lineage, metadata, andoptimizingpipelines for performance

Experience in developing electronic searchable data dictionaries andmaintainingconsistency in variable naming conventions across multiple years of data

Knowledge of security, access controls, and supporting multi-cloud analytics

Ability to implement solutionsprovidingreal-time visibility into data management,provision,governanceandutilizationto support transparency,oversightand effective data stewardship

Ability to develop andmaintainelectronic tools for data dictionary and cohort definition supporting aggregate reporting and sample size estimation

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor's degree in Computer Science, Information Technology, or Engineering

Experience with Healthcare datasets or federally funded research data sources

Experience with cohort definition tools using ICD-10-C, ICD-10-PCS, CPT/HCPCS, or NDC system

Experience with Authorization to Operate (ATO) processes and compliance in federal environments

Possession of strong communication and collaboration skills, to work across multidisciplinary teams

Advanced Certifications in Databricks,Data Lakehouse,or Cloud Data Engineering

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 $77,600.00 to $ (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.

Job Number: R0245442
Data Engineer

As a Data Engineer on our team, you will gather requirements, design Lakehouse data architecture, build Databricks ingestion and governance pipelines, manage lineage and metadata, optimize data flows, enforce security and access controls, and support multi-cloud analytics and ATO-ready operations. You will also develop documentation including Data Flow Diagrams, Data Ingestion Plans, Storage Architecture Documents, and Lakehouse Integration Plans. Real-time visibility into master data and metadata management is expected to ensure transparency and effective data stewardship.

Join us. The world can't wait.

• Experience in designing Lakehousearchitecturesand building Databricks ingestion and governance solutions

• Experience in producing Data Flow Diagram and Documentation, Data Ingestion Plan, Data Storage Architecture Document, or Data Lakehouse Integration Plan

• Experience managing lineage, metadata, andoptimizingpipelines for performance

• Experience in developing electronic searchable data dictionaries andmaintainingconsistency in variable naming conventions across multiple years of data

• Knowledge of security, access controls, and supporting multi-cloud analytics

• Ability to implement…