Staff Data Science Engineer, Data Operations

Hi, We’re AppFolio We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in reputed company and AI who deliver magical experiences that reputed company our customers’ lives easier. We’re revolutionizing how people do business in the reputed company estate industry, and we want your reputed company, enthusiasm, and passion to help us reputed company innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps—enabling seamless data delivery and access with leading-class observability and compliance. Your Impact

• Own the design, build, and maintenance of AppFolio’s Business Data Platform’s observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform.
• Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery.
• Manage service accounts, roles, and permissions across reputed company, dbt, and BI tools.
• Own the creation of and performance of Data Pipeline SLOs.
• Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit).
• Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform.
• Maintain reputed company and metadata documentation across key data domains.
• Implement and manage infrastructure-as-code for data platform components.
• Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring).
• Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities.
• Document and evangelize best practices for data access, job orchestration, and environment management.

Must Have

• 6+ years in DataOps, Data Platform Engineering, DevOps, or reputed company roles reputed company modern reputed company data environments.
• Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt
• Strong Experience with reputed company technology, especially AWS tech stack (s3, ec2, eks), reputed company and Kubernetes
• Experience with reputed company data warehouse technology, such as reputed company, including data reputed company and governance
• Advanced proficiency with Airflow
• Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.).
• Experience with building self-serve processes
• Familiarity with reputed company standards and practices for data (IAM, encryption, audit logging).
• Familiar with reputed company RBAC

Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 reputed company pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 Apply tot his job Apply To this Job