Data Analytics Engineer

LaunchDarkly

full-time

Posted on: 11/20/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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💰 $116,000 - $187,660 per year

Mid-LevelSenior

AirflowSQL

About the role

Own the development of cross-functional data models, core business metrics, and self-service dashboards and tools.
Build, document, and maintain robust data pipelines and transformations using tools like dbt, Airflow, and Snowflake.
Advance best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics.
Establish and champion reporting best practices and a standardized metrics layer for the Technology and Revenue organizations — driving consistency, documentation, and discoverability.
Partner closely with data scientists, revenue analysts, and salesforce engineers often serving as the go between for our revenue and technology organizations.
Design metrics and data visualizations with dashboarding tools like Looker, and Hex.

3+ years of professional experience as an Analytics Engineer, or equivalent.
A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc) or equivalent technical education.
Hands-on experience building data pipelines and models with tools like dbt, and Airflow.
Deep competency with SQL for transformations including window functions, common table expressions, and query tuning.
Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse.
Ability to define and iterate on analytics project requirements with both technical and business partners.
An ability to balance humility with high standards for work quality.
A curious and growth-oriented mindset towards learning and teaching.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

data modelingdata pipelinesdata transformationsSQLwindow functionscommon table expressionsquery tuning

communicationcollaborationcuriositygrowth-oriented mindsethumilityhigh standards