Data Engineer

Job Summary

We are seeking a skilled Data Engineer to join our team and help drive impactful projects in the fields of data science, AI, and machine learning. In this role, you will work with cutting-edge technologies to design, build, and optimize data pipelines and ontologies that support mission-critical systems for both government and commercial clients. You will be empowered to work with a dynamic team and contribute to high-impact solutions that make a real difference.

• Impactful Work: Collaborate with world-changing organizations to deliver data-driven solutions that make a meaningful impact in government and commercial sectors.
• Democratizing Access: Help provide individuals from diverse backgrounds with the skills and knowledge needed to succeed in the fields of data science, AI, and machine learning.
• Expert Training & Mentorship: Receive hands-on experience and mentorship from industry experts, accelerating your professional growth and expertise in high-demand technologies.
  
  

Technologies

• Python
• TypeScript
• SQL
• PySpark
• Palantir Foundry (or equivalent data integration platforms)
  
  

Job Responsibilities

• Develop and optimize data pipelines to ensure efficient and scalable data processing.
• Lead ontology development to enhance the integration and understanding of complex data systems.
• Design, implement, and maintain robust data architectures that meet client requirements and support data-driven decision-making.
• Collaborate with external stakeholders to ensure data infrastructure aligns with evolving project needs and goals.
• Work within a team to develop solutions that integrate with Palantir Foundry or other equivalent platforms, enabling seamless data flow across systems.
• Ensure best practices for data engineering are followed, optimizing data storage, processing, and accessibility.
  
  

Qualifications

• Experience: Minimum of 5 years as a Data Engineer, with a proven track record of working in dynamic environments involving multiple external organizations.
• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Specialization: At least 1 year of experience working with Palantir Foundry or an approved equivalent data integration platform, specifically in data pipeline and ontology development.
• Technical Knowledge: Extensive knowledge of distributed computing frameworks (e.g., Spark) and proficiency in Foundry programming languages (Python, PySpark, SQL, TypeScript).
• Certification: Must obtain “Foundry Data Engineer Certification” within 90 days of award.
• Security Clearance: Must hold a current Top Secret/SCI clearance.
  
  

Skills: machine learning,ontology,palantir,government,data integration,data science,design,learning,integration,data