Senior Data Engineer (Snowflake Cortex / Palantir)

Stott and May United State
Remote
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AI Summary

We're seeking a Senior Data Engineer to build and optimize next-generation cloud data platforms. The ideal candidate will have experience with Snowflake, Databricks, and Palantir, and a strong understanding of cloud-native data architecture. This is a 6-month contract opportunity with strong extension potential.

Key Highlights
Design and build scalable ELT/ETL pipelines
Develop and maintain dbt models and transformation frameworks
Support integrations and data engineering initiatives connected to Palantir platforms
Key Responsibilities
Design and build scalable ELT/ETL pipelines across Snowflake and Databricks environments
Develop and maintain dbt models and transformation frameworks for analytics and downstream applications
Work with structured and semi-structured datasets at enterprise scale within AWS environments
Technical Skills Required
SQL Python Snowflake Databricks dbt Airflow Spark Snowflake Cortex Palantir
Benefits & Perks
Competitive rates depending on experience ($80–$120/hr)
Fully remote work
40 hours/week (full-time contract)
Nice to Have
Experience working with or integrating Palantir platforms

Job Description


Senior Data Engineer (Snowflake Cortex / Palantir) Contract Opportunity

Work:

We’re supporting a digital enterprise client looking for a Senior Data Engineer contractor to help build and optimize next-generation cloud data platforms supporting analytics, operational intelligence, and AI-driven workflows.

The environment is heavily focused on Snowflake, Databricks, Snowflake Cortex, and Palantir, with a strong emphasis on scalable architecture, modern ELT pipelines, and production-grade data engineering practices.

Responsibilities:

  • Design and build scalable ELT/ETL pipelines across Snowflake and Databricks environments
  • Develop and maintain dbt models and transformation frameworks for analytics and downstream applications
  • Work with structured and semi-structured datasets at enterprise scale within AWS environments
  • Leverage Snowflake Cortex capabilities to support AI-powered analytics and LLM-enabled workflows
  • Support integrations and data engineering initiatives connected to Palantir platforms and operational systems
  • Optimize performance, observability, reliability, and cloud cost efficiency across the data platform
  • Partner closely with analytics, platform engineering, and data science teams to productionize scalable solutions
  • Support data governance, orchestration, and modern data architecture best practices

Requirements:

  • Strong SQL and Python engineering skills
  • Experience building production-grade pipelines using Snowflake and/or Databricks
  • Hands-on experience with dbt, Airflow, Spark, or similar modern data tooling
  • Exposure to Snowflake Cortex, AI-enabled analytics, or LLM-integrated workflows preferred
  • Experience working with or integrating Palantir platforms strongly preferred
  • Strong understanding of cloud-native data architecture within AWS
  • Experience supporting large-scale analytics or operational data environments
  • Comfortable working within fast-paced contract engagements and cross-functional engineering teams

Details:

  • Fully remote within the US
  • EST working hours preferred
  • 40 hours/week (full-time contract)
  • Initial 6-month contract with strong extension potential
  • W2 or personal LLC engagement only
  • Competitive rates depending on experience (target $80–$120/hr)


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