Job Url: https://www.remoterocketship.com/company/launchdarkly/jobs/backend-engineer-data-platform-united-states-remote/

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LaunchDarkly
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Continuous Delivery • Feature Flagging • DevOps • Feature Toggling • Feature Management

LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. 

The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences. 


201 - 500 employees


Founded 2014

☁️ SaaS

🏢 Enterprise

💰 $200M Series D on 2021-08

Backend Engineer, Data Platform
5 days ago

🇺🇸 United States – Remote

💵 $158k - $257k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

Airflow

Distributed Systems

ElasticSearch

Postgres

Spark

Terraform

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📋 Description
• 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

🎯 Requirements
• 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 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
• Familiarity with Infrastructure-as-Code tools like Terraform or equivalent
• Familiarity with observability tools like Datadog or equivalent

🏖️ Benefits
• Restricted Stock Units (RSUs)
• health, vision, and dental insurance
• mental health benefits