Software Engineer (Data Platform)

Role Description

We are seeking Data Platform Engineers at all levels to design, build, and manage the platform and infrastructure that powers robust data pipelines and analytic query engines. You'll play a key role in developing scalable, performant solutions using technologies like Trino (Presto), Redshift, BigQuery, Apache Iceberg, or other columnar technologies supporting advanced analytics and reporting.

The ideal candidate is a motivated problem solver who prioritizes high-quality solutions and excels in navigating ambiguity. As an early team member, you will have the opportunity to take ownership of various aspects of our backend from day one. Your role will be pivotal in establishing engineering best practices, balancing engineering priorities with business needs, and identifying innovative approaches to deliver outstanding value to our users. Your engineering knowledge will be applied by:

• Architecting, building, and maintaining scalable and reliable data platform infrastructure.
• Implementing and optimizing analytic query engines using technologies like Trino (Presto), Redshift, and BigQuery.
• Designing and supporting robust data management solutions leveraging Apache Iceberg.
• Collaborating closely with Data Engineering and Analytics teams to ensure effective integration, schema detection, and schema evolution.
• Developing and maintaining observability frameworks to monitor and troubleshoot data pipelines and platform performance.
• Implementing best practices for data modeling, schema design, and pipeline fan-out strategies.
• Ensuring data integrity, quality, and consistency across Medalion architectures, star schemas, and Lakehouse environments.
• Proactively identifying opportunities to enhance platform scalability, efficiency, and reliability.

Qualifications

• 3+ years of experience in data platform engineering or related roles focusing on infrastructure and data management.
• Deep experience with analytic query engines and platforms such as Trino (Presto), Redshift, BigQuery, and Apache Iceberg.
• Expertise in designing platforms supporting Medalion architecture, star schemas, and schema evolution.
• Solid foundation in automated schema detection, observability, and performance optimization.
• Proficiency with cloud-based platforms and services (AWS, Azure, GCP, etc.).
• Strong skills in Python and experience with modern infrastructure automation tools.
• Excellent problem-solving abilities, particularly in complex data scenarios requiring performance tuning and scalability solutions.
• Strong communication skills, able to articulate platform design concepts clearly to both technical and non-technical audiences.
• A proactive and collaborative mindset, comfortable working independently and within fast-paced teams.

Requirements

• Extensive experience in developing highly observable and scalable data platforms.
• Proven expertise in advanced query optimization, database scaling, and platform architecture.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or AWS CDK.
• Demonstrated ability to align platform engineering strategies closely with strategic business objectives.

Benefits

• Competitive salary, commission, and equity package.
• Comprehensive benefits package including:
• Medical, dental, and vision insurance, including plan options with company-paid employee coverage.
• FSA, HSA, and 401(k) plans.
• Company paid life insurance and disability coverage, along with buy up options.
• Voluntary benefits including pet insurance, identity theft coverage, and legal services.
• Unlimited PTO and sick time.
• Fully remote team, providing flexibility and a diverse culture.