
About Cribl
Empowering enterprises with data observability solutions
Key Highlights
- Raised $592.5 million in funding across Series D
- Surpassed $100 million in annual recurring revenue
- Headquartered in Yerba Buena, San Francisco, CA
- Offers a data observability pipeline for improved data management
Cribl is a leading data observability platform headquartered in Yerba Buena, San Francisco, CA. The company empowers enterprises to optimize their data management with its observability pipeline, which helps users reduce low-value data and improve routing. With over $100 million in annual recurring ...
🎁 Benefits
Cribl offers a comprehensive benefits package including medical, dental, and vision insurance, a retirement plan, and up to 4 weeks of paid medical le...
🌟 Culture
Cribl fosters a culture focused on simplifying big data analytics and enhancing data usability. The company emphasizes mental health support, offering...

Data Engineer • Mid-Level
Cribl • United States - Remote
Skills & Technologies
Overview
Cribl is hiring a Data Engineer to build and scale systems that power analytics and operational decision-making. You'll work with technologies like Snowflake, SQL, and dbt in a remote-first environment. This position requires experience in data engineering and a passion for collaboration.
Job Description
Who you are
You have a strong background in data engineering, with experience building and scaling data systems that support analytics and operational decision-making. You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex data challenges. Your curiosity drives you to explore new technologies and methodologies, and you are passionate about putting customers first in your work.
You are familiar with the modern data stack, including tools like Snowflake and dbt, and have a solid understanding of SQL. Your experience with cloud applications and infrastructure as code (IaC) allows you to build reliable and efficient data pipelines. You are also open to exploring emerging AI-driven workflows and how they can enhance data processes.
What you'll do
As a Data Engineer at Cribl, you will be responsible for building and scaling the systems that power analytics and data science across the organization. You will design and implement data pipelines that ensure data quality and accessibility for various teams. Collaborating closely with data scientists and analysts, you will help them leverage data to make informed decisions and drive business outcomes.
You will work on integrating various data sources and optimizing data flows to enhance operational efficiency. Your role will involve troubleshooting and resolving data-related issues, ensuring that the systems you build are robust and scalable. You will also have the opportunity to experiment with new technologies and contribute to the development of AI-driven data solutions that can transform how Cribl operates.
What we offer
Cribl fosters a collaborative and innovative culture where team members enjoy working together, whether remotely or in person. As a remote-first company, we empower our employees to do their best work from anywhere. You will be part of a rapidly growing team that values curiosity, motivation, and a customer-first mindset. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better solutions.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Cribl.
Similar Jobs You Might Like
Based on your interests and this role

Data Engineer
Screenverse is hiring a Data Engineer to build reliable and scalable data systems that support reporting and analytics. You'll work with PostgreSQL and ETL processes to enhance data quality and reliability. This position requires experience in data infrastructure and pipeline management.

Data Engineer
Datavant is hiring a Senior Data Engineer to support Enterprise Data & Analytics services. You'll work with technologies like Python, Spark, and Kubernetes to design and architect data platforms for healthcare. This position requires demonstrable experience in data engineering and architecture.

Data Engineer
Datavant is hiring a Data Engineer to build and maintain a world-class data platform for healthcare. You'll work with technologies like AWS, Python, and SQL to drive value across the business. This position requires experience in data infrastructure and cloud services.

Data Engineer
Confluent is hiring a Data Engineer to build efficient data pipelines that enable data accessibility across the organization. You'll work with technologies like Apache, Airflow, and Kafka. This position requires strong technical capabilities and experience in data engineering.

Data Engineer
Suvoda is hiring a Data Engineer to evolve their data platform towards a data mesh architecture. You'll design and build domain-oriented data products and optimize ETL/ELT pipelines using AWS technologies. This role requires at least 4 years of experience in data engineering.