Senior Associate – Palantir Forward Deployed Engineer at Fannie Mae in Reston, VA

Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description THE IMPACT YOU WILL MAKE The Senior Associate - Palantir Forward Deployed Engineer (FDE) , partners with business stakeholders, engineers, and data teams to design, develop, and deploy solutions using the Palantir Foundry platform. This role combines software engineering, data engineering, analytics, and customer engagement skills to solve complex business challenges and deliver operational outcomes. Partner directly with business users to understand operational challenges and translate them into technical solutions. Design, build, and maintain Palantir Foundry pipelines, workflows, applications, and data models. Integrate structured and unstructured data from enterprise systems using APIs, SFTP, databases, and cloud services. Develop data transformation logic, business rules, and analytics to support investigations, compliance, risk management, and operational processes. Configure and enhance Foundry applications, Ontology objects, operational workflows, and reporting capabilities. Rapidly prototype solutions and iterate with stakeholders using Agile methodologies. Collaborate with product owners, data engineers, architects, and business SMEs to deliver end-to-end solutions. Troubleshoot production issues and optimize performance, scalability, and data quality. Support testing, user training, deployment activities, and business adoption. Document technical designs, implementation approaches, and operational procedures. THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences: 2 years of experience in software engineering, data engineering, analytics, or consulting. Experience working with large-scale enterprise datasets. Experience implementing investigative, compliance, fraud, risk, or operational solutions. Exposure to Palantir Foundry, Databricks, Snowflake, AWS, or similar modern data platforms. Desired Experiences: Bachelor degree or equivalent Python SQL Spark/PySpark Data Modeling ETL/ELT Development REST APIs AWS Cloud Services Git/Version Control Data Warehousing Concepts Business Intelligence and Analytics Palantir Foundry Ontology Modeling Target Pay Range: $123,000.00 - $161,000.00 a year Internal Job Title: Corporate Functions Technology - Software Engineering - Senior Associate #LI-JM1 Qualifications Education: Bachelor's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae in