Data Engineer

App Folio is more than a company. We’re a community of dreamers, big thinkers, problem solvers, active listeners, and multipliers. At every opportunity, we set the pace while delivering innovation built to carry real estate into the future. One in which every experience feels effortless, yet meaningful. Where customers are empowered to take on any opportunity. We show up as one team, connected by our values to be a force for good.

Because together, we have the power to create extraordinary outcomes for our customers, our communities, and ourselves.

As a Data Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure and help lead our Secure Data Initiative — the company's active program to mature role-based access, tag-based masking, and governance across the platform. 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 Dev Ops—enabling seamless data delivery and access with leading-class observability and compliance.

• Own the design, build, and maintenance of App Folio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform.

• Own the CI/CD architecture for our Github repositories — build the automated checks, deployment pipelines, and orchestration that every team's changes run through, and keep that platform running as new teams and use cases plug into it.

• Manage service accounts, roles, and permissions across Snowflake, 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).

• Define and own access governance for AI-driven data consumption — scoping Snowflake Coco, MCP server, and agent tool access (e.g., Chat-to-Data) with least‑privilege, read‑by‑default, and full audit logging as agents take on more direct data access.

• Partner with Info Sec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform.

• Maintain lineage 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.

• 8+ years in Data Ops, Data Platform Engineering, Dev Ops, or related roles within modern cloud data environments.

• Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt

• Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes

• Experience with cloud data warehouse technology, such as Snowflake, including data security and governance

• Advanced proficiency with Airflow

• Strong knowledge of CI/CD pipelines, Git Ops workflows, code spaces, and infrastructure-as-code (Terraform etc.).

• Experience with building self‑serve processes

• Familiarity with security standards and practices for data (IAM, encryption, audit logging).

• Familiar with Snowflake RBAC, object privileges, masking policies, row‑access policies, and secure UDFs/SPROCs to support both data engineering and ML/AI workloads.

The base salary that we reasonably expect to pay for…