Role OverviewAs a Software Engineer, you will own and evolve critical components of our real-time and micro-batch data pipelines that power product development, internal tools, and analytics. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale.
What You Will Do
Your work will focus on enabling high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs, driving discoverability, accessibility, and actionable insights.
Why It Might Be a Fit
You will be at the forefront of reimagining how engineering teams consume and interact with data, building robust, efficient systems and replacing legacy processes with modern solutions that allow teams to move faster, with greater confidence and autonomy.
Requirements
- Solid quantitative background in Computer Science, Engineering, Physics, Math, or 3+ years of hands-on experience in a technically demanding role.
- Proficient in at least two major programming languages such as Python, Go, Scala, C++, or Java, with a strong understanding of software design and architecture.
- Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow.
- Strong collaborator who actively contributes to code reviews, system design discussions, sprint planning, and KPI evaluations to drive team excellence and technical quality.
- Minimum a bachelor's or master's degree in computer science, information technology, or a related field.
Benefits
- Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity
- Dental insurance
- Vision insurance
- Healthcare
- PTO
- Retirement
- Learning budget
- Parental leave
- Wellness
- Visa/relocation support
- Remote flexibility
- Stipends
- Bonus/commission
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