LaunchDarkly empowers all teams to deliver and control the best software. As a Data Platform Engineer, you will help us build batch and stream processing pipelines that process trillions of events per day and deliver data to optimized derived tables that power all major internal and external products built on event data.
Requirements
- Minimum of 1 year experience building product focused Data Pipelines or Data Warehouse
- Demonstrable experience with data pipelines, including some of Kinesis, Airflow, Spark, Lambda, Flink and Athena.
- Experience with event or analytical data sets in databases including some of Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake.
- Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading
- Familiarity with Infrastructure-as-Code tools like Terraform or equivalent
- Familiarity with observability tools like Datadog or equivalent
Responsibilities
- Build and expand our data pipelines and data products supporting Experimentation, Release observability, Metrics, Product Analytics and Flag Insights product lines, as well as internal Business Intelligence.
- Monitor and improve database and pipeline performance
- Write unit, integration, and load tests as necessary
- Actively participate in code reviews
- Write and review technical proposals
- Improve engineering standards, tooling, and processes
Other
- 5+ Years of backend software engineering experience
- A commitment to working in a communicative and collaborative environment
- You write code that can be easily understood by others, with an eye towards maintainability
- You hold yourself and others to a high bar when working with production systems
- You value high code quality, automated testing, and other engineering best practices
