Remote Data Science Engineer

Description:

• The position is for a Data Science Engineer with experience in Snowflake and production support.
• This is a contracted role that is fully remote, but candidates must work in the EST time zone.
• The hourly rate for this position ranges from $30 to $36.
• Key responsibilities include analyzing and interpreting large datasets from both on-premise and cloud environments to extract meaningful insights for system optimization and business decisions.
• The engineer will continuously monitor the performance, stability, and data integrity of production systems in both cloud and on-premise environments.
• Troubleshooting and resolving system performance issues, data discrepancies, and application errors are essential to ensure seamless operations.
• The role involves developing, maintaining, and optimizing ETL processes using big data technologies to ensure efficient data movement across platforms.
• Providing production support for enterprise applications and collaborating with development teams to resolve issues in application stacks is required.
• Performance optimization and query tuning for large-scale data processing in various environments are key tasks.
• The engineer will manage and automate data integration tasks between different environments to ensure smooth data transfers.
• Ensuring data handling and storage meet organizational security standards and compliance regulations is crucial.
• Documentation of data processes and providing detailed reports on system performance and recommendations are part of the job.
• Collaboration with cross-functional teams and clear communication of technical findings to non-technical stakeholders are necessary.

Requirements:

• Candidates must have at least 5 years of experience as a Data Science Engineer.
• A minimum of 5 years of experience with Snowflake is required.
• Candidates should have at least 5 years of experience in production support.
• The client ideally seeks candidates with 8 or more years of overall experience in the field.

Benefits:

• The position offers the flexibility of remote work.
• Competitive hourly pay ranging from $30 to $36.
• Opportunity to work with advanced technologies in data science and cloud environments.
• Experience in a collaborative and cross-functional team setting.
• Potential for professional growth and development in data engineering and analytics.