Staff Data Engineer

Summary

Join Rula, a fast-paced startup on a mission to improve mental healthcare accessibility, as a Senior Data Engineer. You will build and maintain the foundational data infrastructure, designing and optimizing data pipelines, implementing data tools, and collaborating with cross-functional teams. This role requires expertise in ETL/ELT pipelines, AWS services, data warehousing, and data governance. You will work with large datasets, ensuring efficiency and scalability while adhering to data security measures. The ideal candidate is passionate about solving complex data challenges and contributing to improving mental healthcare. This is a fully remote position offering attractive pay and benefits, including comprehensive health coverage, 401(k), generous time off, and parental leave.

Requirements

• Experience building and maintaining ETL/ELT pipelines using tools like AWS Glue, DBT, Dagster, or similar orchestration frameworks
• Experience in Python and SQL for data processing and transformation
• Experience in AWS services such as Redshift, S3, Glue, and IAM
• Experience designing and optimizing data warehouses (Redshift, Snowflake) and managing S3 data lakes
• Experience implementing data validation, quality checks, and error-handling mechanisms
• Familiarity with data governance practices, including metadata management and documentation
• Experience optimizing data pipelines, queries, and managing large datasets for efficiency and scalability
• Experience with best practices for high-throughput systems
• Experience with data security measures (encryption, role-based access control, data masking)
• Proven track record of working cross-functionally with data analysts, data scientists, and stakeholders

Responsibilities

• Build and maintain ETL/ELT pipelines using tools like AWS Glue, DBT, Dagster, or similar orchestration frameworks
• Process and transform data using Python and SQL
• Design and optimize data warehouses (Redshift, Snowflake) and manage S3 data lakes
• Implement data validation, quality checks, and error-handling mechanisms
• Optimize data pipelines, queries, and manage large datasets for efficiency and scalability
• Work with data security measures (encryption, role-based access control, data masking)
• Work cross-functionally with data analysts, data scientists, and stakeholders
• Design and implement data solutions
• Implement best-in-class data tools
• Unlock valuable insights from data
• Ensure data infrastructure supports rapid growth and fuels analytics

Preferred Qualifications

• Experience working in a high-growth startup environment, demonstrating the ability to adapt to rapid changes, evolving priorities, and scaling challenges
• Experience with real-time data processing technologies such as Apache Kafka or Kinesis
• Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation for managing cloud resources
• Experience implementing and maintaining CI/CD pipelines for data workflows
• Experience optimizing costs in cloud environments, particularly with data storage and compute resources
• Strong background in event-driven architecture and stream processing
• Effective communication skills to explain technical concepts to non-technical audiences
• Understanding of compliance standards (e.g., HIPAA, SOC 2) and their application in data engineering

Benefits

• 100% remote work environment
• Attractive pay and benefits
• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access
• Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
• Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
• Employee Assistance Program (EAP): Support for your mental and physical health
• New hire home office stipend
• Quarterly department stipend: Fund team-building activities or in-person gatherings
• Wellness events and lunch & learns
• Community and employee resource groups
• Discounted programs: Fetch, SmartSpend, Ladder, SoFi