Culmen International
Data Engineer
🇺🇸 Remote - US
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ August 26th, 2025
Docker
Kubernetes
Python
Edtech.com's Summary
Culmen International LLC is hiring a Data Engineer to support its Premise Data Platform, which enables global mobile-based data collection with AI-driven quality control and insights. The role involves developing data pipelines, quality checks, data marts, and backend systems while collaborating with cross-functional teams to enhance data platforms and integrate AI technologies.
Highlights
- Develop and maintain production-level data pipelines, applications, and analytical models.
- Design and implement process improvements and automation for data workflows.
- Build data marts and infrastructure for efficient extraction, transformation, and loading using big data technologies.
- Integrate AI workflows, including large language models (LLMs), and optimize retrieval-augmented generation (RAG) and graph setups.
- Collaborate with sales, customer success, and operations to align data products with business goals.
- Preferred experience with Google Cloud Platform (GCP), containers, Docker, and Kubernetes.
- Required qualifications include a BS/MS in a quantitative field or equivalent experience, 3+ years in a data role with 2+ years in data engineering, and advanced Python and SQL skills.
- Strong GIS experience and background, with advanced GIS data modeling capabilities.
- Experience working with LLMs, computer vision, machine learning toolsets, and diverse teams.
- Comprehensive benefits include 100% paid medical/dental/vision premiums, 401k with immediate vesting and 4% match, life insurance, disability coverage, AFLAC, paid holidays, and opportunities for training and continuing education.
Data Engineer Full Description
About the Role:
Culmen International is seeking a Data Engineer to support Culmen's Premise Data Platform. The Premise Data Platform is a global collection capability that offers end to end mobile based data. The end to end mobile based data collection includes quality control and insight delivery, powered by AI. From sentiment to geospatial to media we collect and process thousands of insights every day.
The role of Data Engineer will be required to work the data collected about various data sets around the world as well as internal tools. This position will involve building data pipelines, creating data quality checks, devising data marts that house insights and trends from the data, and developing back-end systems or applications to build a robust data platform with an opportunity to integrate LLMs into data pipelines. Must have experience collaborating with diverse teams of data scientists, data analysts, operations managers, product managers, and more.
What You’ll Do in Your New Role:
- Write production-level code to implement data pipelines, applications and analytical models.
- Identify, design, and implement process improvements including automation.
- Assemble large, complex data sets that meet stakeholder business requirements.
- Develop an in-depth understanding and ownership of the data, defining out data quality standards and implementing automated checks that ensure standards are met.
- Build the infrastructure / architecture required for optimal extraction, transformation, and loading of data from a wide variety of data. Sources using ‘big data’ technologies.
- Integrate AI workflows to process and/or summarize data streams.
- Explore RAG and Graph setup optimization.
- All work would be done on GCP - GCP knowledge is preferred.
- Collaborate with sales, customer success, and operations teams to define the direction of this data product and ensure our technology is well aligned with their goals.
- Identify and leverage opportunities to continually improve data quality, systems, processes, and standards.
- Perform data transformation, creation and maintenance of data pipeline architecture.
Required Qualifications:
- BS/MS in a quantitative field such as Engineering, Computer Science, etc. or equivalent work experience & analytical skills.
- 3 years of full-time experience in a data-oriented role, with at least 2 years in data engineering.
- Advanced experience in Python.
- Experience in containers, docker, Kubernetes.
- Experience working with LLMs, Computer Vision and Machine Learning toolsets.
- Strong SQL skills and database management experience.
- Strong GIS experience or related BS/MS background.
- Advanced experience with building high efficiency data models with GIS related data.
- Experience with Google Cloud Platform.
- Experience collaborating with diverse teams, customers, and stakeholders.
About the Company:
Culmen International is committed to enhancing international safety and security,
strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.
- Exceptional Medical/Dental/Vision coverage with 100% of the premiums paid by the company for all eligible employees and their eligible dependents (including same or opposite sex domestic partners)
- 401k – Vested immediately and 4% match
- Life insurance and disability paid by the company
- AFLAC Available
- Opportunities for Training and Continuing Education
- 12 Paid Holidays
To learn more about Culmen International, please visit www.culmen.com
At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.
