Senior Palantir MSS Developer / Engineer

PowerToFly; Washington (District of Columbia); On-site; USD 131,000 - 218,000; Full time

Job summary

PowerToFly is seeking an AI and Data Science Engineer III to drive the design, development, and deployment of AI and data science solutions that translate data into business value. You will build scalable models, production-ready data pipelines, and decision-support tools for client and internal teams.

The role requires hands-on ML/analytics/engineering expertise, with opportunities to lead projects and collaborate across strategy, engineering, and implementation.

Qualifications

• Bachelor's degree in CS, Engineering, Data Science, or quantitative field.
• 5+ years designing, building, and maintaining data pipelines/ETL/ELT workflows.
• 2+ years hands-on project experience with Palantir Foundry.
• Active U.S. Secret security clearance required.
• Ability to travel ~10% depending on client assignments.
• Authorized to work in the United States without employer sponsorship.

Responsibilities

• Design, build, test, and deploy ML/AI solutions for business use cases.
• Develop data pipelines, feature engineering workflows, and model integration across data sources.
• Collaborate with cross-functional teams to define requirements and deliver production-ready outputs.
• Apply statistical analysis and experimentation to improve decision-making and operations.
• Support model deployment, monitoring, and documentation across the lifecycle.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

Task prioritization

Interpersonal skills

Deadline-driven

Guidance to others

Education

Bachelor's degree in CS/engineering/data science

Master's degree (preferred)

Tools

Palantir Foundry

Tableau

Qlik

Job description

Drive the design, development, and deployment of artificial intelligence and data science solutions that help organizations turn data into business value. This role focuses on building scalable models, production-ready data pipelines, and decision-support tools that enable client and internal teams to solve complex problems. The ideal candidate brings hands‑on experience across machine learning, analytics, and engineering, along with the ability to translate technical work into practical outcomes.

Work you'll do

As an AI and Data Science Engineer III on the AI and data science team, you will be responsible for...

• Designing, building, testing, and deploying machine learning and artificial intelligence solutions for business use cases
• Developing data pipelines, feature engineering workflows, and model integration processes across structured and unstructured data sources
• Collaborating with cross-functional teams to define technical requirements, evaluate solution options, and deliver production-ready outputs
• Applying statistical analysis, model development, and experimentation techniques to improve decision‑making and operational outcomes
• Supporting model deployment, monitoring, maintenance, and documentation activities across the solution lifecycle

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

Our AI and data science team helps clients apply analytics, machine learning, and emerging artificial intelligence capabilities to address business priorities at scale. The team works across strategy, engineering, and implementation to deliver solutions that are practical, measurable, and aligned to enterprise needs. This is generated placeholder content for your review and can be tailored to your specific practice, industry, or offering.

Qualifications

Required:

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 5+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
• 2+ years of experience of hands‑on project experience with Palantir Foundry
• Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

• Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• Demonstrated experience developing front-end solutions in Foundry, including Workshop applications, operational workflows, or user-facing applications.
• Familiarity with Palantir's AI‑enabled capabilities and ability to apply them to business or client needs.
• Strong Python proficiency, including the ability to develop, troubleshoot, and maintain technical solutions.
• Solid foundation in software development, data engineering, or application development beyond low‑code configuration.
• Palantir AI Engineer or Application Developer certification, and experience with Tableau, Qlik, or other data‑visualization platforms.

For individuals assigned and/or hired to work in Washington DC, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Washington DC and 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. 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 $131,000 to $218,300.

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.