Figment is hiring a
Senior Data Engineer

Summary

Join Figment and help it become the world's leading staking services provider by implementing data pipelines, managing data storage solutions, and optimizing data processes. This role combines data engineering practices and software development, focusing on data pipelines and cloud infrastructure.

Requirements

• Experience with the data transformation tool DBT
• Designing and implementing complex data transformations using advanced DBT models, materializations, and configurations to streamline data workflows and improve performance
• Optimizing and troubleshoot DBT pipelines for scale, ensuring that transformations run efficiently in production environments, handling large datasets without issues
• Experience programming in Python
• Design and implement scalable, high-performance applications by leveraging Python's advanced libraries and frameworks (e.g., Pandas, FastAPI, asyncio), ensuring clean code, modularity, and maintainability
• Optimize code for performance and memory usage through profiling and refactoring, ensuring efficient execution, particularly when handling large datasets or real-time processing tasks
• Experience with the data orchestration tool - Dagster or Airflow
• Designing and orchestrating complex DAGs to manage dependencies, triggers, and retries for data workflows, ensuring reliable and efficient pipeline execution
• Implementing monitoring and alerting for pipeline failures or performance bottlenecks, using observability tools integrated with Dagster/Airflow to maintain robust pipeline health
• Experience with a data warehousing solution such as Snowflake, BigQuery, Redshift, or Databricks
• Architecting and optimizing warehouse environments for performance, including designing partitioning strategies, clustering keys, and storage optimizations for cost-effective scaling
• Implementing security and governance policies within the wareshouse, including data encryption, access control, and audit logging to meet compliance and security best practices
• Extensive data engineering experience, including building and managing data pipelines and ETL processes
• Experience developing CI/CD pipelines for automated data infrastructure provisioning and application deployment
• Experience in managing infrastructure across AWS, with a focus on performance and security

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

Preferred Qualifications

• Experience with Golang, Temporal, Monte Carlo
• Knowledge of decentralized consensus mechanisms, including Proof-of-Work and Proof-of-Stake
• Experience in developing custom Terraform modules for data infrastructure

Benefits

• 100% remote-first environment
• 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
• 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
• Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!