Data Engineer II

Summary

Join OfferUp as a Data Engineer to build, operate, and scale data processing platforms. You will design and develop applications for processing large amounts of information, monitor data pipelines, collaborate with various teams, and maintain data infrastructure. This role requires 3+ years of software development experience, expertise in distributed systems, proficiency in SQL and Python, and experience with open-source data infrastructure projects. Building scalable data pipelines and real-time data streams in AWS or a similar cloud environment is essential. A Computer Science or Engineering degree is required. This position is only available outside the US.

Requirements

• 3+ years of professional software development experience
• Strong ability in distributed systems for processing large scale data processing
• Ability to communicate technical information effectively to technical and non-technical audiences
• Proficiency in SQL and Python
• Experience leveraging open source data infrastructure projects, such as Airflow, Kafka, Avro, Parquet, Hadoop, Hive, HBase, Presto or Druid
• Experience building scalable data pipelines and real-time data streams
• Experience building software in AWS or a similar cloud environment
• Computer Science or Engineering degree required, Masters degree preferred
• Excellent communication skills, both written and spoken (fluency in English required)

Responsibilities

• Design and develop applications to process large amounts of critical information to power analytics and user-facing features
• Monitor and resolve data pipeline or data integrity issues
• Work across multiple teams to understand their data needs
• Maintain and expand our data infrastructure

Preferred Qualifications

• Experience with AWS services like Kinesis, Firehose, Lambda, Sagemaker is a big plus
• Experience with GCP services like BigQuery, Cloud Functions is a big plus
• Experience with operational tools like Terraform, Datadog and Pagerduty is a big plus