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Staff Data Engineer (Remote)

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 Senior 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

  • 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.

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.

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

  • 100% remote work environment: 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

  • Discounted programs: Fetch, SmartSpend, Ladder, SoFi

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.

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What You Should Know About Staff Data Engineer (Remote), Rula

Are you a passionate Staff Data Engineer looking for a unique opportunity to make a difference? Join the incredible team at Rula, where we're on a mission to revolutionize mental health care. Based remotely but thriving in Los Angeles, you'll be at the forefront of building the data infrastructure that drives our impactful insights. Imagine working in a fast-paced startup environment where your contributions directly support the mission of making mental health resources accessible to everyone. As a Senior Data Engineer, you'll have the chance to design and optimize ETL/ELT pipelines using tools like AWS Glue and DBT. Your expertise in Python and SQL will be invaluable as you collaborate with cross-functional teams, unlocking the insights necessary for informed decision-making. Not only will you enhance our data capabilities, but you'll also help unearth meaningful analytics that can pave the way for a brighter future in mental health care. We value innovation, collaboration, and agility, and we’re eager for your unique perspective to help us shape our scalable data solutions from the ground up. If you’re excited about tackling complex data challenges in a supportive and dynamic environment, Rula is the perfect place for you to thrive.

Frequently Asked Questions (FAQs) for Staff Data Engineer (Remote) Role at Rula
What are the main responsibilities of a Staff Data Engineer at Rula?

As a Staff Data Engineer at Rula, you'll be responsible for designing and optimizing ETL/ELT pipelines, leveraging tools like AWS Glue and DBT, and collaborating with cross-functional teams to ensure our data infrastructure supports rapid growth. You will also implement data validation and quality checks, enhance analytics capabilities, and contribute to the overall mission of improving mental health care.

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What qualifications are required for the Staff Data Engineer position at Rula?

To qualify for the Staff Data Engineer role at Rula, you should have significant experience in building and maintaining ETL/ELT pipelines, proficiency in Python and SQL, and familiarity with AWS services such as Redshift and S3. Additionally, experience in designing data warehouses and ensuring data quality are crucial to succeed in this position.

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How does Rula support professional development for Staff Data Engineers?

Rula values the growth of its team members and provides opportunities for professional development, including wellness events, lunch & learns, and a supportive work environment. You will have access to tools and resources that help enhance your skills and keep you updated with the latest technologies in data engineering.

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What is the work culture like for a Staff Data Engineer at Rula?

At Rula, the work culture emphasizes collaboration, innovation, and inclusivity. As a remote company based in Los Angeles, Rula promotes a healthy work-life balance and encourages team members to voice their ideas. You'll find a community that supports diversity, equity, and inclusion while striving for a common goal of improving mental health care accessibility.

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What tools should a Staff Data Engineer be familiar with when working at Rula?

A Staff Data Engineer at Rula should be well-versed in various tools including AWS Glue, DBT, and data processing technologies such as Apache Kafka or Kinesis. Additionally, familiarity with data governance practices, CI/CD pipelines, and infrastructure as code tools like Terraform will enhance your effectiveness in this role.

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Common Interview Questions for Staff Data Engineer (Remote)
Can you describe your experience with ETL/ELT pipelines?

When answering this question, focus on specific projects where you built or maintained ETL/ELT pipelines. Highlight the tools used, such as AWS Glue or other orchestration frameworks, and detail the impact your work had on data accessibility and insights.

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How do you ensure data quality and validation in your projects?

Explain the techniques and frameworks you employ for data validation, such as automated quality checks and error-handling mechanisms. Sharing examples from past experiences where you've implemented these practices can show your depth of understanding.

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What strategies do you use for optimizing data processing performance?

Discuss your approach to optimizing data processing, including the design of efficient queries, use of indexing, and parallel processing. Give an example where you significantly improved processing speed or reduced costs.

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How do you collaborate with data analysts and data scientists?

Emphasize the importance of communication and collaboration in your role as a data engineer. Share an example of a successful project where you worked with analysts or scientists to deliver actionable insights from the data.

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Can you explain your experience with cloud data storage and management?

Share your familiarity with AWS services, particularly Redshift and S3, detailing how you've managed and optimized data storage. Include any challenges you faced and how you overcame them.

Join Rise to see the full answer
What is your experience with real-time data processing technologies?

Detail your experience with real-time data technologies like Apache Kafka or Kinesis. Provide specific examples of how you've implemented these technologies in past projects and their impact on workflow efficiency.

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How do you stay current with trends in data engineering?

Talk about the resources you utilize to keep up with industry trends, such as blogs, webinars, or forums, and describe any communities you participate in to network with other professionals.

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Describe a challenging data problem you solved.

Be specific about a complex problem you encountered, how you approached it, and the solutions you implemented. Describe the outcome and any lessons learned that helped you in future projects.

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How do you handle data security and compliance concerns?

Discuss the importance of security and your familiarity with compliance standards like HIPAA. Provide examples of how you've implemented encryption, access control, or other security measures in your previous roles.

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Why do you want to work as a Staff Data Engineer at Rula?

Communicate your passion for data engineering and your alignment with Rula's mission to improve mental health care. Highlight your eagerness to apply your skills in an organization dedicated to making a positive impact.

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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony

Rula's mission is to make mental healthcare work for everyone.

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Full-time, remote
DATE POSTED
December 20, 2024

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