Software Developer, Data Engineer, Data Analyst

We are seeking a highly skilled and versatile Software Developer with expertise in cloud-based data and analytics platforms such as Databricks, Snowflake, Palantir Foundry, and Neo4J within Azure and AWS environments. The ideal candidate will have a strong foundation in programming, data integration, ontology design, and analytical workflows, along with excellent problem-solving and communication skills.

Key Responsibilities:

• Develop and maintain scalable data pipelines and transformation scripts using Python, SQL, Java, and R
• Design and implement complex ontologies within platforms like Palantir Foundry, including object types, link types, and kinetic elements
• Build and optimize analytical workflows using tools like Pipeline Builder, Workshop, and visualization platforms such as Contour and Quiver
• Integrate disparate data sources and systems via robust ETL processes
• Model data to support structured and semi-structured use cases within cloud ecosystems (AWS, Azure)
• Implement and manage data analytics solutions in platforms such as Snowflake, Databricks, and Neo4J
• Conduct statistical analyses, predictive modeling, and data mining to support business decisions
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Effectively communicate insights, findings, and technical recommendations to both technical and non-technical stakeholders
• Manage and prioritize tasks across multiple projects in an agile or hybrid delivery environment

Languages & Tools:

• SQL (Advanced querying and optimization)
• Java (Integrations and backend logic)
• R (Statistical analysis and visualization)

• Palantir Foundry (Ontology design, integration, analytics)
• Databricks, Snowflake (Cloud data warehousing and processing)
• Neo4J (Graph data modeling and querying)
• Azure, AWS (Cloud platforms and data services)
• ETL and data ingestion pipelines
• Ontology and schema modeling
• Workflow optimization and versioning
• Data visualization and dashboarding

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• 3–7 years of experience in software development or data engineering roles
• Experience working with regulated data environments is a plus