Staff Software Engineer - Data

Summary

Join Rula, a company dedicated to improving mental health care access, as a Staff Data Engineer. You will build and maintain the data infrastructure that drives growth and impact. This fast-paced startup values innovation and collaboration, offering a unique opportunity to design scalable data solutions. You will work with cross-functional teams, optimize pipelines, and implement data tools to unlock valuable insights. Your contributions will support rapid growth, fuel analytics, and deliver meaningful impact to patients and providers. This role is ideal if you are passionate about solving complex data challenges and improving mental health care.

Requirements

• Develop data pipelines (7+ years of experience)
• Build and maintain ETL/ELT pipelines using tools like AWS Glue, DBT, Dagster, or similar orchestration frameworks
• Demonstrate strong proficiency in Python and SQL for data processing and transformation
• Build and maintain cloud infrastructure and data warehousing (5+ years of experience)
• Show proficiency in AWS services such as Redshift, S3, Glue, and IAM
• Design and optimize data warehouses (Redshift, Snowflake) and manage S3 data lakes
• Implement data quality and governance (3+ years of experience)
• Implement data validation, quality checks, and error-handling mechanisms
• Show familiarity with data governance practices, including metadata management and documentation
• Optimize performance (3+ years of experience)
• Optimize data pipelines, queries, and manage large datasets for efficiency and scalability
• Show knowledge of best practices for high-throughput systems
• Maintain security and compliance (3+ years of experience)
• Show experience with data security measures (encryption, role-based access control, data masking)
• Demonstrate understanding of compliance standards (e.g., HIPAA, SOC 2) and their application in data engineering
• Collaborate and communicate (5+ years of experience)
• Show a strong ability to work cross-functionally with data analysts, data scientists, and stakeholders
• Demonstrate effective communication skills to explain technical concepts to non-technical audiences
• Show adaptability to thrive in a fast-paced startup environment

Preferred Qualifications

• Show experience working in a high-growth startup environment, demonstrating the ability to adapt to rapid changes, evolving priorities, and scaling challenges
• Show experience with real-time data processing technologies such as Apache Kafka or Kinesis
• Show familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation for managing cloud resources
• Show experience implementing and maintaining CI/CD pipelines for data workflows
• Show experience optimizing costs in cloud environments, particularly with data storage and compute resources
• Show a strong background in event-driven architecture and stream processing

Benefits

• 100% remote work environment (US-based only): Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments
• Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access: Start saving for your future
• 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: Set up your workspace for success
• Quarterly department stipend: Fund team-building activities or in-person gatherings
• Wellness events and lunch & learns: Explore a variety of engaging topics
• Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all