Data Engineer

About the Client

In a world increasingly defined by mobility—from the smartphones in our pockets to the IoT devices enriching our homes and the seamless way we navigate both work and leisure—our client is at the forefront of enhancing edge experiences. With a roster of esteemed customers like Goat, Hilton, Masterclass, Home Depot, and Cameo, they are dedicated to empowering engineers to craft superior, daring experiences in a mobile-first world that has rapidly evolved over the last seven years.

About the Role

The client is on the lookout for a data engineer with confidence and vision, someone poised to architect and refine the data infrastructure that will underpin the company’s entire ecosystem. This role is a foundational piece of the client’s rapid expansion, offering the chance to design, build, and optimize data platforms, services, and tools that are at the cutting edge of technology.

What You’ll Do:

• Pioneer the selection and implementation of cutting-edge technologies for the collection of high-volume, complex datasets.

• Oversee the development of one of the most advanced data infrastructures, facilitating efficient data pipelines that integrate with technologies from Snowflake to Big Query and beyond.

• Craft and manage data services focusing on trust, compliance, accessibility, and metadata management.

• Scale data pipelines to support real-time processing of over 100 billion messages a day.

• Ensure the integrity and reliability of intricate and continuously evolving datasets.

Basic Qualifications:

• At least 2 years of experience with Python or Golang, or a willingness to learn, supplemented by experience in Java, Rust, C/C++.

• Demonstrated logical thinking, decision-making, and problem-solving abilities.

• Proven experience with large-scale data processing and management.

Preferred Qualifications:

• Expertise in working with time-series data.

• Proficiency in profiling and optimizing systems in production environments.

• Experience in developing data pipelines using Kafka, Cassandra, and Clickhouse.

• A personal take on the Star Wars vs. Star Trek debate.

Culture Values:

• Perspective: Commitment to understanding diverse viewpoints.

• Investing: Proactive in uncovering value.

• Honesty: Providing straightforward feedback with kindness.

• Simplicity: Prioritizing straightforward solutions focused on outcomes.

• Ownership: Fostering empowerment through proactive problem-solving.

• Dark Humor: Sharing a sense of humor when facing challenging situations.

Why Join?

This opportunity is with a rapidly growing company, supported by leading investors and a successful founding team known for their previous ventures in the tech startup ecosystem. The client’s platform captures comprehensive user behavior and technical data, offering invaluable insights to engineering, data science, UX, and product teams across various industries. With competitive salaries, equity options, comprehensive benefits, and a dynamic, collaborative environment, this role is ideal for those eager to impact the mobile-tech landscape.