Software Engineer (Palantir Foundry / Microsoft Power Platform) - Clearance Required

LMI is seeking a Software Engineer to build and deploy Army applications that connect Palantir Foundry data and services with Microsoft Power Platform workflows and user interfaces. This engineer will turn operational requirements into working applications and own delivery from design through deployment and ongoing support. 

This role combines application development, data integration, and direct collaboration with Army users. You will build in Foundry and Power Platform, establish reliable interfaces between them, and make technical decisions about where data, application logic, and workflows should reside. The work requires sound engineering judgment, hands-on development, and the ability to deliver within government security and platform constraints. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. 

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. 

• Work directly with Army users, data owners, and technical teams to understand operational requirements and translate them into application designs and working software. 

• Design, build, and maintain applications that connect Palantir Foundry with Microsoft Power Apps, Dataverse, and Power Automate. 

• Develop canvas and model-driven Power Apps, Dataverse tables and relationships, and automated business workflows. 

• Build Foundry data pipelines, transforms, ontology objects, and application components that support operational use cases. 

• Implement integrations through approved APIs, connectors, and data exchange mechanisms, including application updates to source systems where authorized. 

• Define data ownership, field mappings, identifiers, validation rules, and synchronization behavior across platforms. 

• Develop reusable code using Python, SQL, and JavaScript or TypeScript, as appropriate to the platform and application. 

• Apply authentication, authorization, and data access controls consistent with customer requirements and each platform’s security model. 

• Build error handling, logging, monitoring, and recovery processes into applications and integrations. 

• Test, document, deploy, and maintain software using version control, code reviews, and approved application lifecycle management practices. 

• Demonstrate working capabilities to users, incorporate feedback, and troubleshoot issues through resolution. 

• Document architecture, interfaces, deployment procedures, and support requirements so other engineers can maintain and extend the software. 

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, or equivalent work experience. 

• At least three years of relevant experience developing and supporting enterprise software, applications, or systems integrations. 

• Hands-on development experience with Palantir Foundry, including data pipelines or transforms and ontology-based applications or services. 

• Hands-on experience developing applications and workflows with Microsoft Power Apps, Dataverse, and Power Automate. 

• Experience integrating enterprise systems using REST APIs, connectors, or other supported interfaces. 

• Proficiency in Python and SQL for data transformation, integration, and troubleshooting. 

• Experience designing relational data models and mapping data between systems. 

• Understanding of authentication, authorization, and secure handling of application credentials. 

• Experience testing, deploying, maintaining, and troubleshooting applications or data pipelines. 

• Familiarity with Git, code reviews, and software development lifecycle practices. 

• Ability to work independently, collaborate across technical disciplines, and explain technical decisions to nontechnical stakeholders. 

• Active Secret clearance. 

Additional Preferred Qualifications 

• Direct experience integrating Palantir Foundry with Microsoft Dataverse or other Power Platform services. 

• Experience supporting Army Vantage or other DoD application and data environments. 

• Experience with the Dataverse Web API, Power Platform custom connectors, and application authentication services. 

• Experience managing Power Platform solutions, connection references, environment variables, deployment pipelines, and data policies. 

• Experience developing Foundry Workshop applications, ontology actions and functions, or integrations using Foundry APIs. 

• Proficiency in JavaScript or TypeScript for application extensions and integration development. 

• Experience with PySpark, Foundry Pipeline Builder, or Foundry Code Repositories. 

• Experience working within government security, accreditation, and deployment processes. 

• Experience with Databricks, Delta Lake, or Spark-based processing. 

• Experience incorporating AI/ML capabilities into applications using Foundry AIP or other approved services. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. 

Percentage of Travel Required: 10% 

The target salary range for this position is $130,000-$170,000. 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.