Staff Data Engineer (Remote)

Rula Health; Snowflake (AZ); Remote; USD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company dedicated to transforming mental healthcare through innovative data solutions. As a Staff Data Engineer, you will be at the forefront of building the foundational data infrastructure that drives insights and supports our mission to enhance mental health care accessibility. This role offers the chance to work in a dynamic startup environment where your contributions will directly impact the lives of individuals seeking mental health support. With a focus on collaboration and agility, you'll design and optimize data pipelines, implement cutting-edge tools, and work closely with diverse teams to ensure our data infrastructure is robust and effective. Embrace the opportunity to make a meaningful difference in a field that truly matters.

Benefits

100% remote work environment

Comprehensive health benefits

401(k) plan access

Generous time-off policies

Paid parental leave

Employee Assistance Program (EAP)

New hire home office stipend

Quarterly department stipend

Wellness events

Community and employee resource groups

Qualifications

• 7+ years in data pipeline development and ETL/ELT processes.
• Strong proficiency in Python and SQL for data processing.
• Experience with data quality checks and governance.

Responsibilities

• Design and optimize data pipelines and tools for data processing.
• Collaborate with cross-functional teams to unlock insights.
• Ensure data infrastructure supports rapid growth and analytics.

Skills

Data Pipeline Development

Python

SQL

Cloud Infrastructure

Data Warehousing

Data Quality

Performance Optimization

Security Compliance

Collaboration

Tools

AWS Glue

DBT

Dagster

AWS Redshift

S3

Apache Kafka

Terraform

Job description

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

About the Role

At Rula, we are on a mission to make mental health care more accessible and effective for those who need it most. As a Staff Data Engineer, you will play a pivotal role in building the foundational data infrastructure that powers insights to drive our growth and impact for years to come. We are a fast-paced startup where innovation, collaboration, and agility are essential to everything we do. This is a unique opportunity to shape scalable data solutions from the ground up, empowering our teams with the data they need to make informed decisions and support our mission-driven work.

If you’re passionate about solving complex data challenges and want your work to contribute to improving mental health care, this role is for you. You will have the chance to design and optimize pipelines, implement best-in-class data tools, and work closely with cross-functional teams to unlock valuable insights. Your contributions will help ensure that our data infrastructure supports rapid growth, fuels analytics, and delivers meaningful impact to our patients and providers. Join us in building a future where mental health resources are available to everyone who needs them.

Required Qualifications

• Data Pipeline Development (7+ Years)

Experience building and maintaining ETL/ELT pipelines using tools like AWS Glue, DBT, Dagster, or similar orchestration frameworks.

Strong proficiency in Python and SQL for data processing and transformation.

• Cloud Infrastructure & Data Warehousing (5+ Years)

Proficiency in AWS services such as Redshift, S3, Glue, and IAM.

Experience designing and optimizing data warehouses (Redshift, Snowflake) and managing S3 data lakes.

• Data Quality & Governance (3+ Years)

Implementing data validation, quality checks, and error-handling mechanisms.

Familiarity with data governance practices, including metadata management and documentation.

• Performance Optimization (3+ Years)

Optimizing data pipelines, queries, and managing large datasets for efficiency and scalability.

Knowledge of best practices for high-throughput systems.

• Security & Compliance (3+ Years)

Experience with data security measures (encryption, role-based access control, data masking).

Understanding of compliance standards (e.g., HIPAA, SOC 2) and their application in data engineering.

• Collaboration & Communication (5+ Years)

Strong ability to work cross-functionally with data analysts, data scientists, and stakeholders.

Effective communication skills to explain technical concepts to non-technical audiences.

Adaptability to thrive in a fast-paced startup environment.

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.

We're serious about your well-being! As part of our team, full-time employees receive:

• 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

Our team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.