Sr. Data Engineer - AppFolio, Inc

Hi, We’re AppFolio

We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating.

The Sr. Data Engineer who will contribute to our growing Data Engineering and Operations team. We work collaboratively to develop an infrastructure that ingests data from disparate sources and routes them to various target storages and applications, thus providing access to high quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models.

At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today – and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport.

• Design, build and operate on next generation data pipeline infrastructure based on Apache Kafka and its ecosystem
• Improve data architecture, quality, discoverability and access policies to enable and enforce data governance
• Collaborate with engineers, data analysts and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers
• Develop techniques for monitoring the completeness, correctness and reliability of our data sets
• Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace
• Research, share, and recommend new technologies and trends

• You have hands-on experience with using Apache Kafka in production and have a passion for building a reliable, scalable and fault-tolerant infrastructure.
• You have hands-on experience with data warehouse technology, particularly with Snowflake.
• You have worked with a variety of data sources, including change data capture systems, event sourcing and clickstreams, in production.
• You have industry experience with working with real time transformation technologies such as Apache Flink
• You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed but won't let it become a habit.
• You want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company.

• You have 5+ years of experience working with languages like Python or Ruby,  Infrastructure as Code, configuration management, and monitoring tools 
• Proficient in creating consumable tools for platform management
• Proficient in tooling orchestration utilizing CICD best practices with tools like CircleCI or Jenkins
• Experience with containers and container orchestration tools.  Docker and Kubernetes experience
• Experience with Kafka, Kafka Connect and its ecosystem
• Experience with AWS primitives(IAM, VPC, RDS, S3, MSK, EKS, etc.)
• You have excellent MySQL operational knowledge
• Proficient in RBAC and Data Governance across multiple platforms and ecosystems(AWS, Snowflake, Kafka, etc.)
• Bachelors in Computer Science or other quantitative fields

• Experience with Debezium connector is highly desirable
• Experience with clickstream tracking technology, e.g. Snowplow, is desirable
• Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus
• Background in monitoring and maintaining cost management on the cloud(FinOps)
• Data science skills for analyzing data and communicating with ML engineers are a plus
• Proven mentoring experience to help develop peers

Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.

Regular full-time employees are eligible for benefits - see here.