[Hiring] Senior Data Engineer @Kearney & Company

Role Description

Kearney & Company is hiring a Senior Data Engineer – Subject Matter Expert. The Senior Data Engineer SME will design, develop, optimize, and sustain enterprise data engineering solutions supporting the FASTR program within the War Data Platform. Working under the Technical Lead / Solution Architect, the SME will implement reliable ingestion, transformation, orchestration, and validation pipelines for Department of the Air Force financial data. This role collaborates with functional, architecture, and integration teams to deliver traceable, secure, and production-ready datasets that enable audit readiness, FIAR, and financial management reporting.

• Design, build, test, and maintain scalable batch and incremental data ingestion and transformation pipelines within the War Data Platform.
• Implement approved source-to-target mappings, business rules, and data models in collaboration with Data Architecture / Transformation Analysts.
• Develop and optimize SQL, Python, and ETL/ELT processes for large, complex financial datasets.
• Build reusable data processing components, orchestration workflows, and automated data quality controls.
• Implement completeness, accuracy, reconciliation, and lineage checks to support FIAR and Universe of Transactions requirements.
• Investigate and resolve pipeline failures, performance bottlenecks, schema changes, and data integrity issues.
• Coordinate with Interface & Integration Analysts to validate inbound feeds, interface contracts, and source-system dependencies.
• Apply engineering standards for version control, peer review, automated testing, deployment, monitoring, and technical documentation.
• Collaborate with BI / Reporting teams to publish reliable, well-documented datasets and support downstream analytical use cases.
• Partner with authorized platform and security personnel to implement applicable access, handling, and operational controls.
• Provide technical mentorship, code reviews, and implementation guidance to other data engineering personnel.
• Communicate engineering progress, technical risks, defects, dependencies, and remediation recommendations to the Technical Lead / Solution Architect.

Qualifications

• Minimum 5 years of relevant experience in data engineering, enterprise data integration, data platform development, or related technical disciplines.
• Extensive hands-on experience designing and implementing production ETL/ELT pipelines and large-scale data transformations.
• Advanced proficiency in SQL and Python or comparable data engineering programming languages.
• Demonstrated experience with data modeling, orchestration, performance tuning, and data pipeline troubleshooting.
• Demonstrated experience with engineering delivery platforms (such as Databricks, Palantir Foundry, etc.)
• Experience implementing automated data quality checks, reconciliation logic, and end-to-end data traceability.
• Knowledge of software engineering practices including source control, testing, code reviews, and deployment processes.
• Ability to work with cross-functional teams, interpret technical specifications, and deliver maintainable production solutions.
• Strong analytical, problem-solving, documentation, and communication skills.
• Ability to obtain and maintain a U.S. Secret level security clearance (requires US Citizenship).
• Must be willing and able to travel as required, up to 25% of the time.

Preferred Qualifications

• Experience supporting Department of the Air Force or other Department of War financial management systems and modernization programs.
• Experience developing or sustaining data engineering solutions within the War Data Platform or comparable secure enterprise analytics environments.
• Familiarity with FIAR, Universe of Transactions, financial reconciliation, and audit-support data requirements.
• Experience with distributed processing, cloud data services, orchestration tools, CI/CD, and pipeline monitoring.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
• Relevant data engineering, cloud, or platform certifications.

Benefits

• Medical, Dental, Vision, Life, AD&D, and Disability Insurance.
• 401(k) Retirement Plan and 529 Education Savings Plan.
• Flexible Spending & Health Savings Account.
• Accident, Critical Illness, Hospital Indemnity Insurances.
• Legal Insurance and Pet Insurance.
• Employee Assistance Program, fitness and wellness benefits, and other firm benefits.
• Paid holidays, vacation, and sick time.