Real-Time Data Engineer II

Job Description

Job Description

What we’re looking for:

As a member of the Data Platform Engineering team, the Real-Time Data Engineer II will work collaboratively to develop an infrastructure that ingests data from disparate sources, processes them real-time and routes them to various target storages and applications, while 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.

Your impact:

• 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

Qualifications

• 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 industry experience with working with real time transformation technologies such as Apache Flink

• You have worked with a variety of data sources, including change data capture systems, data streaming and event sourcing in production.

• You have hands-on experience with data warehouse technology.

• You embrace the platform-first approach to build standard solutions and self-serve capabilities for engineering teams 

• 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 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.

Must have

• 3+ years of experience with Apache Kafka, Kafka Connect and its ecosystem

• 2+ years of experience in streaming processing technologies, such as Apache Flink

• 2+ years of experience with AWS primitives (IAM, VPC, S3, MSK, EKS, etc.)

• 3+ years of experience working with programming languages like Python or Ruby

• Excellent SQL skills with working knowledge of query optimization

• 2+ years of experience working with Infrastructure as Code, configuration management, and monitoring tools. 

• Bachelors in Computer Science or other quantitative fields.

Nice to have

• Experience with Debezium connectors

• Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus

• Experience with distributed SQL query engines, such as Trino is a plus

• Experience with containers and container orchestration tools. Docker and Kubernetes experience is desirable.

• Data science skills for analyzing data and communicating with ML engineers are a plus.

Compensation & Benefits

The base salary/hourly wage that we reasonably expect to pay for this role is: $104,000 to $130,000.

The actual base salary/hourly wage 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 - see here. 

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