Senior Data Engineer

Summary

Join Figment, a leading provider of Web3 blockchain infrastructure solutions, and contribute to its growth as the world's leading staking services provider. This data engineering role blends data engineering practices and software development, focusing on building and maintaining data pipelines and cloud infrastructure. You will implement and optimize data processes, collaborate with engineering and product teams, and promote best practices in data engineering and security. Figment offers a 100% remote-first environment, competitive benefits, and a focus on personal career development. The role requires extensive experience in data engineering, proficiency in Python and SQL, and experience with various technologies like Dagster, DBT, and Snowflake. Figment is committed to transparency and offers a competitive salary and benefits package.

Requirements

• Extensive experience with data engineering, including building and managing data pipelines and ETL processes
• Proficiency in the Python programming language and SQL. Experience developing highly concurrent and performant applications ensuring scalability and efficient resource utilization in distributed or multi-threaded systems
• Experience implementing robust microservices following best practices in error handling, logging, and testing for production-grade systems
• Experience with using CI/CD pipelines for automated data infrastructure provisioning and application deployment
• Experience with the data orchestration tool Dagster or Airflow
• Experience designing and orchestrating complex DAGs to manage dependencies, triggers, and retries for data workflows, ensuring reliable and efficient pipeline execution
• Experience with the data transformation tool DBT. Experience designing and implementing complex data transformations using advanced DBT models, materializations, and configurations to streamline data workflows and improve performance
• Experience optimizing and troubleshoot DBT pipelines for scale, ensuring that transformations run efficiently in production environments, handling large datasets without issues
• Experience with cloud data warehousing platforms (e.g. Snowflake) Experience architecting and optimizing Snowflake environments for performance, including designing partitioning strategies, clustering keys, and storage optimizations for cost-effective scaling
• Has an understanding of security and governance policies within Snowflake, including data encryption, access control, and audit logging to meet compliance and security best practices

Responsibilities

• Implement and maintain reliable data pipelines and data storage solutions
• Implement data modeling and integrate technologies according to project needs
• Manage specific data pipelines and oversees the technical aspects of data operations
• Ensure data processes are optimized and align with business requirements
• Identify areas for process improvements and suggests tools and technologies to enhance efficiency
• Continuously improve data infrastructure automation, ensuring reliable and efficient data processing
• Develop and maintain data pipelines and ETL processes using technologies such as Dagster and DBT to ensure efficient data flow and processing
• Automate data ingestion, transformation, and loading processes to support blockchain data analytics and reporting
• Utilize Snowflake data warehousing solutions to manage and optimize data storage and retrieval
• Collaborate with Engineering Leadership and Product teams to articulate data strategies and progress
• Promote best practices in data engineering, cloud infrastructure, networking, and security

Benefits

• 100% remote-first environment. Our flagship office is in Toronto, Canada. We also have additional co-working spaces in New York, Montreal, London, and Singapore. That means if you want to do your things in the office (if you’re near one), at home, or a bit of both, it’s up to you
• 4 weeks of PTO that kick in day one, with an additional 1 week of flex days
• Extended company-paid health benefits that kick in day one
• Best in class parental leave and flexible arrangements
• A home office stipend to create a space that you enjoy working in
• Monthly Wifi reimbursement
• A yearly Learning & Development budget
• 401K (US) or RRSP match (Canada)
• Stock Options in the company
• A competitive bonus (based on company performance) that is distributed bi-annually - we believe that the company’s success should be shared with our employees often For roles listed within the Sales Department, there is instead a competitive commissions structure which will be outlined during your first interview with Figment
• Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!