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 cuttingedge technologies to design build and optimize data pipelines and ontologies that support missioncritical systems for both government and commercial clients. You will be empowered to work with a dynamic team and contribute to highimpact solutions that make a real difference.
- Impactful Work: Collaborate with worldchanging organizations to deliver datadriven 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 handson experience and mentorship from industry experts accelerating your professional growth and expertise in highdemand 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 datadriven decisionmaking.
- 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.
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