Backend Engineer, Data Platform

About this role

About The Job
Software powers the world, and 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.


Our platform serves over twenty trillion feature flags daily. To accommodate the large scale of our systems, we use state-of-the-art pipeline technologies in the AWS ecosystem, including Kinesis, Airflow, Spark, Lambda, Flink and Athena. We store data in databases including Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake. As part of our you-build-it-you-run-it culture, all engineers support the pipelines in production, including in an on-call rotation.


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.
• Collaborate with frontend engineers, product managers and UX designers to deliver user-facing features
• 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

Qualifications

• 5+ Years of backend software engineering experience
• 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
• A commitment to w...