Palantir Engineering Management Specialist

PowerToFly; Virginia (MN); On-site; USD 110,000 - 150,000; Full time

Job summary

Deloitte's AI & Data team is hiring a Data Management Engineer II to design, build, and sustain analytics pipelines across cloud platforms. You will migrate Python/pandas workflows to scalable Databricks pipelines and develop dashboards for reporting and operations.

The role requires 3+ years in data engineering, experience with Palantir Foundry, Databricks, and SQL, plus Power BI dashboard development. Some travel and an active Secret clearance are expected.

Qualifications

• 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 SQL queries.
• Experience developing Power BI dashboards, curated datasets, medallion architecture tables, and 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 client work.
• Active Secret clearance, U.S. citizenship, and legal authorization to work in the United States without sponsorship.

Responsibilities

• Design, develop, test, deploy, and sustain analytics solutions across cloud and enterprise data platforms.
• Build and maintain medallion architecture tables, curated datasets, and 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 outputs.
• Support Agile delivery activities, document technical logic, troubleshoot issues, and implement minor enhancements based on user feedback.

Skills

Data engineering

ETL pipelines

Databricks

Power BI

Python

SQL

Agile

Education

Bachelor's degree in CS/Engineering/IS/Data Analytics

Tools

Palantir Foundry

Databricks

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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

A successful candidate would possess these skills:

• 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

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• 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