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US-Remote US-PA-Pittsburgh
Actively hiring, first seen by us 1 day agoPercentage 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.Read the full posting
Listed location: Remote, UNAVAILABLERead the full posting
Only US Citizens are eligible for a security clearance
Build and maintain Foundry pipelines using Python transforms and PySpark
Design Foundry ontologies and data integrations for Army AI2C applications
Develop Databricks notebooks, Delta Lake tables, and Spark jobs
Build enterprise apps on Power Platform, Dataverse, Power Apps, and Power Automate
Lead integration of AI/ML capabilities into Foundry and Databricks applications
Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder)
Co-lead data engineering efforts within Palantir Foundry (Vantage), including ontology design, pipeline development, and data integration for Army AI2C mission applications
Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs
Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate
Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications
Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent work experience
Experience integrating AI/ML capabilities into Foundry or Databricks-based applications and identifying strategic AI use cases
3-5 years of experience in data engineering, with hands-on experience building and operating applications on the Palantir Foundry (Vantage) platform
Familiarity with AI frameworks and APIs (OpenAI, Anthropic Claude, LangChain, or similar) and with Foundry AIP
Demonstrated experience with Microsoft Power Platform, Dataverse, Power Apps and Power Automate for a Defense client/customer
Knowledge of statistical analysis and machine learning concepts
Qualifications - Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent work experience - 3-5 years of experience in data engineering, with hands-on experience building and operating applications on the Palantir Foundry (Vantage) platform
- 7+ years of directly related experience - Master’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or related field - On-site (Pittsburgh) candidates preferred
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Overview LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s AI2C organization in a remote capacity. Power Platform and Application development experience is preferred, with model-driven and canvas applications leveraging Dataverse, Power Automate, JavaScript, HTML, CSS, Power Query, Dataverse dataflows. This role is also centered on building and operating data pipelines, ontologies, and applications within Palantir Foundry (Vantage), with additional responsibilities extending into Databricks for large-scale data processing and analytics engineering. Demonstrated know-how to integrate Vantage with external platforms, including importing and exporting data between Vantage and MicroSoft Dataverse/Power Platform is highly desired. This position offers an opportunity to provide technical leadership while strategically growing the development footprint with customers. Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed, collaborative, and eager to grow technically. Candidates with the ability to be on-site in Pittsburgh are preferred. 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.
Responsibilities - Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate, JavaScript, HTML, CSS, and Power Query - Scale Dataverse solutions with tables, data types, data mapping and entity relationship diagrams
- Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment - Advise and help write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications - Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks
- Co-lead data engineering efforts within Palantir Foundry (Vantage), including ontology design, pipeline development, and data integration for Army AI2C mission applications - Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder), Code Repositories, and Foundry’s data connection framework as a key member of tech team - Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment
- Preliminary experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry - Intermediate proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar) - Familiarity with data visualization approaches (Power BI, D3.js, Plotly, Recharts, or Foundry-native Workshop widgets) for surfacing pipeline outputs
- Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder), Code Repositories, and Foundry’s data connection framework as a key member of tech team - Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment - Advise and help write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications
- Advise and help write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications - Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks - Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP and Databricks ML/AI tooling)
- Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks - Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP and Databricks ML/AI tooling) - Champion AI-forward, platform-first development practices and guide the team in implementing AI/ML features and data-driven experiences
- Champion AI-forward, platform-first development practices and guide the team in implementing AI/ML features and data-driven experiences - Provide technical leadership and mentorship to grow the team’s capabilities across Foundry (Vantage) and Databricks - Identify and pursue opportunities to expand development initiatives with Army stakeholders
- Demonstrated experience with Microsoft Power Platform, Dataverse, Power Apps and Power Automate for a Defense client/customer - Preliminary experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry - Intermediate proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar)
Additional Preferred Qualifications - Experience integrating AI/ML capabilities into Foundry or Databricks-based applications and identifying strategic AI use cases - Familiarity with AI frameworks and APIs (OpenAI, Anthropic Claude, LangChain, or similar) and with Foundry AIP
- Intermediate proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar) - Familiarity with data visualization approaches (Power BI, D3.js, Plotly, Recharts, or Foundry-native Workshop widgets) for surfacing pipeline outputs - Demonstrated experience in planning, analyzing, designing, implementing, testing, and maintaining data pipelines and applications for an enterprise-level system
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LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s AI2C organization in a remote capacity. Power Platform and Application development experience is preferred, with model-driven and canvas applications leveraging Dataverse, Power Automate, JavaScript, HTML, CSS, Power Query, Dataverse dataflows. This role is also centered on building and operating data pipelines, ontologies, and applications within Palantir Foundry (Vantage), with additional responsibilities extending into Databricks for large-scale data processing and analytics engineering. Demonstrated know-how to integrate Vantage with external platforms, including importing and exporting data between Vantage and MicroSoft Dataverse/Power Platform is highly desired. This position offers an opportunity to provide technical leadership while strategically growing the development footprint with customers. Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed, collaborative, and eager to grow technically. Candidates with the ability to be on-site in Pittsburgh are preferred.
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.
Additional Preferred Qualifications
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Remote
- Master’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or related field - On-site (Pittsburgh) candidates preferred 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.
Job Locations US-Remote US-PA-Pittsburgh
More relevant text appears in the full description.
- On-site (Pittsburgh) candidates preferred 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%