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.
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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
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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
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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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