Data Scientist Engineer

Position Title: Data Scientist / Engineer

Location: Seattle/NJ/Dallas TX

Duration: 12 plus months with possible extension

Strong platform-focused data engineer with deep hands-on Palantir and Snowflake experience who can both build high-performance data systems and actively analyze data to uncover patterns trends and actionable business insights (not just pipeline maintenance).

Must have experience:

• Unsupervised clustering and classification of structured data in DBMS/files and unstructured data
• Palantir Foundry (data ingestion transformations ontology modeling analytics workflows)
• Snowflake (advanced SQL performance tuning analytical schema design)
• Building scalable ETL/ELT data pipelines (batch near real-time)
• Data modeling for analytics and reporting layers
• Working with relational and NoSQL databases
• Python for data processing and automation
• Data quality governance and lineage practices
• Create multi-stage analysis/transformation pipelines like Contour in Palantir Foundry
• Distributed data processing frameworks like Spark
• Querying using SparkQL GraphQL etc.
• Create apps reports dashboards like those in Palantir Foundry

Good to have:

• Dbt Airflow Spark or similar orchestration/processing frameworks
• BI & visualization tools (Tableau Power BI Looker etc.)
• Streaming data platforms (Kafka/Kinesis)
• Cloud platforms (AWS/Azure/GCP)
• ML feature engineering or analytics support
• Agentic AI skills

Required Skills:

Data Scientist / Engineer