[Remote] Data Analytics Engineer at LaunchDarkly

United States

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

dbtAirflowSnowflakeSQLLookerHexdata pipelinesdata modelingwindow functionsCTEquery tuning

Questions & Answers

Common questions about this position

What is the pay range for this Data Analytics Engineer position?

Target pay ranges for Level 3 vary by Geographic Zones: Zone 1 (San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle) is $136,500 - $187,660; Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago) is $122,800 - $168,850; Zone 3 (all other US locations) is $116,000 - $159,500. Exact compensation may vary based on skills and experience.

Is this Data Analytics Engineer role remote or location-specific?

The role supports US locations across three geographic zones with varying pay ranges, including major cities in Zone 1 and 2, and all other US locations in Zone 3, suggesting flexibility for remote work in the US.

What skills are required for the Data Analytics Engineer role?

Required skills include 3+ years as an Analytics Engineer or equivalent, hands-on experience with dbt and Airflow for data pipelines and models, deep SQL competency including window functions and query tuning, and experience with Snowflake or similar data warehouse.

What is the team structure like for this position at LaunchDarkly?

You'll join the Data Analytics and Engineering team in the Technology organization, working closely with embedded revenue analysts, Salesforce and software engineers, revenue operations, data scientists, and serving as a go-between for revenue and technology organizations.

What makes a strong candidate for this Data Analytics Engineer role?

Strong candidates have 3+ years of Analytics Engineer experience, a technical degree, proficiency in SQL, dbt, Airflow, and Snowflake, plus the ability to collaborate with technical and business partners while balancing humility, high standards, and a growth-oriented mindset.

LaunchDarkly

Feature management platform for software developers

About LaunchDarkly

LaunchDarkly provides a platform for developers to manage and automate software features. Its main product is a feature management platform that allows developers to control software features, enabling safe code shipping, self-serve experimentation, personalized user experiences, and improved reliability of applications. This platform allows developers to revert feature behaviors without code changes, enhancing productivity. LaunchDarkly operates on a subscription model, charging clients for access to its services. The platform helps clients innovate quickly, automate software releases, reduce delivery costs, and maximize the impact of software features. The goal is to improve software development processes for a diverse range of clients in the DevOps market.

Oakland, CaliforniaHeadquarters

2014Year Founded

$321.3MTotal Funding

SERIES_DCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Flexible work environment - Making an inclusive space for everyone means recognizing we all have our own individual working styles and needs.

Health and wellness - LaunchDarkly offers full coverage with health, dental, and vision plans for you and your dependents.

Salary and options - We're all in this together. LaunchDarkly offers competitive pay, equity, and the option to participate in a 401(k) program.

Learn and grow - We love to see our own continue to grow their skill sets—whether that's taking a class or attending a conference.

Risks

Competition from Harness, acquiring Split.io, threatens LaunchDarkly's market share.

Guardian Edition's complexity may confuse customers and complicate sales.

Expansion into the EU region may increase operational costs and regulatory scrutiny.

Differentiation

LaunchDarkly offers advanced feature flagging and experimentation capabilities for progressive delivery.

The platform supports EU data residency, enhancing compliance for European clients.

LaunchDarkly integrates feature management with CI/CD pipelines for seamless software delivery.

Upsides

LaunchDarkly's Galaxy Product Release enhances personalized user experiences and feature optimization.

The appointment of Claire Vo as CPO is expected to drive platform innovation.

Recognition as a Strong Performer by Forrester boosts LaunchDarkly's market credibility.

Land your dream remote job 3x faster with AI

Try Jobo Free