Quick overview
Job description
Senior Data Engineer – Snowflake (Contract)
Work Location: 100% Remote
Employment Type: Contract
Experience Required: 8+ Years
Job Overview
We are seeking a highly experienced Senior Data Engineer specializing in Snowflake for a fully remote contract opportunity. The ideal candidate will have strong hands-on expertise in Snowflake, advanced SQL, Python, and enterprise-scale cloud data engineering.
The candidate will be responsible for designing, developing, optimizing, and supporting scalable, secure, and high-performing data pipelines and data products.
Key Responsibilities
Design, develop, test, deploy, and maintain complex batch, incremental, and near-real-time data pipelines using Snowflake.
Build reusable, metadata-driven data ingestion and transformation frameworks.
Work with Snowflake Dynamic Tables, Streams, Tasks, Snowpipe, Snowpark, and secure data sharing.
Develop complex SQL queries and optimize query performance, warehouse utilization, and Snowflake costs.
Build Python and Snowpark solutions for data processing, automation, testing, and operational support.
Implement data quality checks, reconciliation, error handling, monitoring, alerting, and recovery mechanisms.
Contribute to data modeling, solution architecture, technical design reviews, and engineering standards.
Implement CI/CD pipelines, version control, automated testing, and deployment automation.
Ensure data security, privacy, governance, role-based access control, and audit compliance.
Evaluate Snowflake Cortex AI capabilities and support governed AI/ML use cases.
Collaborate with architects, analysts, data scientists, and engineering teams to deliver production-ready solutions.
Conduct code reviews, troubleshoot production issues, document solutions, and provide technical guidance.
Required Qualifications
8+ years of hands-on experience developing enterprise solutions on cloud data platforms.
5+ years of hands-on Snowflake data engineering experience.
Expert-level SQL skills, including complex transformations, data modeling, performance tuning, and troubleshooting.
Advanced Python development skills for production data engineering and automation.
Strong experience building complex, production-grade data pipelines and transformation frameworks.
Knowledge of ETL/ELT, orchestration, CI/CD, source control, automated testing, monitoring, and production support.
Experience with Snowflake security, governance, RBAC, data sharing, and performance/cost optimization.
Ability to work independently and deliver results in a fast-paced environment.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Preferred Qualifications
SnowPro Core certification; SnowPro Advanced: Data Engineer certification is a plus.
Experience in healthcare, life sciences, biotechnology, pharmaceutical, or other regulated industries.
Experience with Snowflake Cortex AI and governed AI-enabled data solutions.
Knowledge of machine learning, feature pipelines, MLOps, or model deployment.
Experience in solution architecture, technical design reviews, and data modeling.
Additional Information
Fully remote contract opportunity.
Strong emphasis on hands-on engineering, technical ownership, and independent delivery.
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