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# Palantir Engineering Management Specialist

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $71,300.0 - $140,600.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Information Systems, Data Validation, Data Cleansing, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Scrum Methodology, Power BI, Enterprise Data Management, SC Clearance, Pandas, Information Technology, Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** September 9, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9151462/palantir-engineering-management-specialist

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, * Bachelor's degree in computer science, engineering, information systems, data analytics, or a business or technical field
 * 3+ years of experience in data engineering, analytics, or data management, including experience with Palantir Foundry and Databricks
 * Experience migrating Python/pandas workflows into Databricks and developing Structured Query Language (SQL) queries
 * Experience developing Power BI dashboards, curated datasets, medallion architecture tables, and extract transform load (ETL) pipelines
 * Experience supporting Agile delivery activities, including backlog refinement, sprint planning, demonstrations, testing, and issue resolution
 * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
 * Active Secret clearance, U.S. citizenship, and legal authorization to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

 * Experience supporting federal or Department of Defense programs
 * Experience with data governance, data validation, and technical documentation
 * Experience building Databricks-based analytics pipelines and automated reporting solutions
 * Experience supporting operational reporting and mission-focused analytics

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $71,300 to $140,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

## Description

As a PROJECT - Data Management Engineer II on the analytics team, you will be responsible for designing, building, and sustaining data pipelines and reporting solutions across multiple platforms and stakeholders.

 * Design, develop, test, deploy, and sustain analytics solutions across cloud and enterprise data platforms
 * Build and maintain medallion architecture tables, curated datasets, and automated extract transform load (ETL) pipelines for downstream reporting and analytics
 * Migrate local Python/pandas workflows into scalable data pipelines and develop dashboards for business and operational reporting
 * Perform data cleansing, reconciliation, validation, publishing, and quality checks to support accurate and maintainable outputs
 * Support Agile delivery activities, document technical logic and assumptions, troubleshoot issues, and implement minor enhancements based on user feedback