Data Platform Engineer at DISQO

At DISQO, our mission is to build the world’s most trusted ad measurement platform to fuel brand growth. We provide the world’s largest brands, agencies, and media companies with expert insights and AI-driven intelligence regarding their advertising performance across all platforms. By capturing people’s journeys and sentiments, we connect them with the brands they value, allowing our clients to create more authentic and meaningful interactions. When you join DISQO Nation, you become part of a community that prioritizes trust, transparency, and innovation. We believe in servant leadership and a bottom-up management approach, and we are always looking for people who are eager to learn, grow, and have fun while making a lasting impact.

About the Role

We are looking for a Senior Data Platform Engineer to join our team on a full-time basis. In this role, you will help us evolve our data infrastructure and empower our analytics teams to deliver insights with speed and confidence. You will work within a highly motivated team that values modern tech stacks and cloud-native solutions, focusing on solving complex business challenges through agile development and high-quality architecture.

Key Responsibilities

• Take ownership of key projects by designing, implementing, and delivering robust data solutions and pipelines while collaborating with product managers and software engineers.
• Architect and optimize our data infrastructure on AWS, specifically focusing on orchestrating Spark-based pipelines within Kubernetes environments.
• Drive internal process improvements by redesigning observability infrastructure for better scalability, automating manual workflows, and optimizing database performance.

Requirements

To be successful in this role, you should have a strong background in data engineering and cloud infrastructure. We are looking for the following qualifications:

• At least 5 years of experience in data platform ownership and enterprise data management.
• At least 3 years of production experience with AWS and 3 years in SRE, DevOps, or equivalent engineering roles.
• Proven expertise in Spark using Python or Scala, including managing workloads on Kubernetes.
• Hands-on experience with Infrastructure-as-Code tools like Terraform and CI/CD pipelines.
• Deep knowledge of data modeling, SQL optimization, and the Hadoop ecosystem.
• Comfort working in a Linux environment and thriving in an agile, entrepreneurial setting.

Location

This position is based in the United States and follows a hybrid work model.

Compensation and Benefits

We are committed to supporting our team members with a comprehensive benefits package designed for your well-being and long-term success. Our benefits include:

• 100% covered medical, dental, and vision insurance for employees.
• Equity compensation and 401k plans.
• Generous paid time off and flexible work location policies.
• Life, disability, and commuter benefits.
• Paid maternity and paternity leave.
• Access to an employee assistance program, including 24/7 counseling services.
• Regular company retreats, social events, and team offsites.