Software Engineer (L3) Data Substrate

Role Overview

This role sits within a modern data and analytics platform team focused on building the foundational infrastructure that powers large-scale data ingestion, processing, and analytics systems. You will design and develop distributed systems that enable reliable, secure, and high-performance data workflows across complex environments.

What You Will Do

Design, build, and maintain scalable data infrastructure supporting ingestion, processing, storage, and analytics workflows across distributed systems. Develop robust frameworks and pipelines using modern big data technologies such as Kafka, Spark, Hive, and related ecosystem tools.

Why It Might Be a Fit

This role offers the opportunity to work with cutting-edge data tools while directly impacting platform reliability, efficiency, and scalability. You will collaborate with cross-functional partners including product managers, analysts, and engineers to translate business needs into scalable technical solutions.

Requirements

• 5+ years of experience in software engineering or related technical roles, ideally in data platform or distributed systems environments.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience building or maintaining large-scale data systems using technologies like Spark, Kafka, Hive, and distributed computing frameworks.
• Solid understanding of cloud infrastructure, particularly AWS, and experience operating data systems at scale.
• Strong knowledge of software engineering principles including design patterns, object-oriented and functional programming, and code quality best practices.
• Excellent analytical and problem-solving skills with a strong ability to work through complex technical challenges.
• Strong communication skills and ability to collaborate effectively in cross-functional engineering environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Benefits

• Competitive compensation package with salary ranges typically between $138,700 and $203,900 depending on location and experience.
• Eligibility for equity participation and performance-based bonus programs.
• Comprehensive health coverage including medical, dental, and vision insurance.
• Retirement savings plan including 401(k) contributions.
• Flexible remote-first work environment across the United States.
• Generous paid time off, sick leave, parental leave, and wellness programs.
• Home office reimbursement to support remote productivity.
• Opportunities to work on large-scale, high-impact data systems used globally.