Data Scientist / Engineer
dhanutek
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
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