Senior Data Engineer

4 weeks ago

San Diego, California, United States AppFolio, Inc Full time
About the Role

We are seeking a highly skilled Sr. Data Engineer to join our growing Data Engineering and Operations team at AppFolio, Inc.

Key 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
  • Hands-on experience with using Apache Kafka in production and a passion for building a reliable, scalable, and fault-tolerant infrastructure.
  • 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, in production.
  • Experience with real-time transformation technologies such as Apache Flink.
  • 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.
  • Want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company.
Must-Haves
  • 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.).
  • Excellent MySQL operational knowledge.
  • Proficient in RBAC and Data Governance across multiple platforms and ecosystems (AWS, Snowflake, Kafka, etc.).
  • Bachelor's in Computer Science or other quantitative fields.
Nice-to-Haves
  • 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.
Compensation & Benefits

The base salary that we reasonably expect to pay for this role is $128,000-$176,000. The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, etc.

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.

#LI-EB1

Why AppFolio

Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.

Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.

Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.

Connect | We excel at hybrid work by fostering an environment that feels flexible, personal, and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.

Paddle as One.

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