Sr. Data Engineer

About the position

At AppFolio, we are innovators, changemakers, and collaborators. We are more than just a software company; we are pioneers in cloud and AI, delivering magical experiences that simplify our customers' lives. We are revolutionizing how people do business in the real estate industry, and we seek your ideas, enthusiasm, and passion to help us continue innovating. The Sr. Data Engineer will contribute to our growing Data Engineering and Operations team, working collaboratively to develop an infrastructure that ingests data from various sources and routes it to different target storages and applications. This role provides access to high-quality data for users ranging from application developers to data analysts and data scientists.

Responsibilities

• Design, build and operate 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

Requirements

• 5+ years of experience working with languages like Python or Ruby
• Hands-on experience with using Apache Kafka in production
• Hands-on experience with data warehouse technology, particularly with Snowflake
• Experience with a variety of data sources, including change data capture systems, event sourcing and clickstreams
• Industry experience with real-time transformation technologies such as Apache Flink
• 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

Nice-to-haves

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

Benefits

• Base salary range of $125,600-$157,000
• Opportunities for growth and compelling total rewards
• Coaching and mentorship from best-in-class leaders
• Flexible hybrid work environment
• Diversity and inclusion initiatives