Data Engineer

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. 

• 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. 
  

• 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. 

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.