Montcure, LLC

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.