Job Description

STAFF ANALYTICS ENGINEER

REMOTE

$200-250,000 plus bonus

Staff Analytics Engineer – Empower Data-Driven Decision Making

Are you passionate about building scalable, efficient data systems that empower businesses to succeed? Join a dynamic and fast-growing company that supports some of the world’s most renowned brands, helping them create faster, personalized, and innovative web experiences.

About the Company

My client is at the forefront of enabling developers and businesses to build, scale, and secure faster and more personalized web applications. With a mission to help the world ship the best digital products, it partners with leading organizations such as Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier. Its platform provides unparalleled developer experience and infrastructure for dynamic user experiences, empowering teams to do their best work.

About the Role

As a Staff Analytics Engineer , you will work closely with cross-functional teams to design and implement logical data models that drive critical decision-making across the enterprise. You will play a pivotal role in architecting data systems, maintaining data quality, and creating tools that enable self-service analytics for teams in Engineering, Product, Finance, and other business domains.

Key Responsibilities

• Collaborate with stakeholders to define and document company-wide single-source-of-truth data models.
• Architect and maintain performant, reliable data pipelines and models to support:
• Self-service data consumption.
• Flexible querying and visualization.
• Advanced analytical and scientific use cases.
• Act as a data steward and subject-matter expert for assigned business and technology domains.
• Build and enhance internal data tooling, focusing on:
• Error logging, auditing, and data validation.
• Democratizing data model and pipeline ownership.
• Improving data discoverability and usability.
• Advocate for and implement best practices for data modeling and development standards.
• Drive data quality by transforming complex, dynamic datasets into consistent, trustworthy resources.

Skills You’ll Need to Succeed:

• 8+ years of experience querying, visualizing, and presenting data, ideally in a tech-driven data organization.
• Advanced proficiency in SQL with experience building scalable, performant queries.
• 6+ years of experience with Snowflake or BigQuery.
• 2+ years of experience with DBT or Spark-based data pipelines.
• Strong background in schema design and data modeling strategies (e.g., dimensional modeling, data vault).
• Proficiency in general-purpose programming languages (e.g., Python, Java, Go) and experience working with various data structures and serialization formats.
• Ability to solve ambiguous problems, write clear documentation, and communicate with precision.

Bonus Points For:

• Passion for building scalable systems and ensuring high data quality.
• Ability to work independently on complex problems and learn new tools quickly.
• Strong attention to detail and an eagerness to contribute to a data-first culture.

Why Join?

• Competitive Compensation : Attractive salary and stock options.
• Inclusive Healthcare : Comprehensive healthcare packages to support your well-being.
• Growth Opportunities : Access to mentorship programs and industry events to enhance your skills and expand your network.
• Flexible Time Off : Recommended 4 weeks of vacation annually and paid holidays.
• Remote Work : Collaborate with a global team and enjoy a work-from-home budget to set up your ideal workspace.
• Cutting-Edge Tech Stack : Work with tools like Kafka, Snowflake, DBT, Airflow, and AWS.

This is your opportunity to help shape the future of data and analytics at a company driving innovation across industries. If you’re a forward-thinking engineer passionate about data quality, scalability, and making an impact, this role is for you.

Apply today and join a team that thrives on collaboration, excellence, and innovation!

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