Software Engineer II, Segment Optimization
Build and operate distributed data applications powering large-scale audience segmentation and real-time personalization. The role requires 2–4 years of software engineering experience, backend development skills, and familiarity with databases, algorithms, and distributed systems.
About the job
Responsibilities
- Build and improve systems powering audience segmentation for more than 100 million customers.
- Own well-scoped features end to end across distributed data applications, including design, implementation, testing, deployment, and operation.
- Partner with engineering, product, and design teammates to deliver high-quality software.
- Develop a deep understanding of owned services, platform data flows, and the impact of changes on clients and customers.
- Contribute to process, infrastructure, and system improvements across the team and engineering organization.
- Use AI tools to move quickly while focusing on system behavior, architecture, and design tradeoffs.
Requirements
- 2–4 years of experience as a Software Engineer.
- Experience building backend services and an interest in deepening distributed-systems expertise.
- Experience with Java, Python, or Go.
- Strong understanding of object-oriented design, algorithms, optimization, data structures, and software design.
- Familiarity with relational and non-relational databases, including how data modeling and access patterns affect performance and reliability.
- Commitment to clean, correct code and established engineering best practices.
- Ability to take ownership of work through reliable operation and customer impact.
- Clear communication and effective collaboration with technical and non-technical teammates.
- Comfort working through ambiguity and translating business goals into clear deliverables.
Compensation and Benefits
- US base salary: $135,000–$170,000 annually.
- Equity and benefits, including health and wellness benefits.
Skills
Java, Python, Go, Distributed Systems, Backend Services, Relational Databases, Nosql Databases, Data Modeling, Algorithms, Data Structures, Object-Oriented Design, Data Pipelines, Real-Time Processing, AI Tools
Similar jobs
Data Engineering jobs
Stuut
San Francisco, CABuild and own Stuut’s foundational data platform, including ingestion pipelines, canonical models, semantic layers, and observability. The role requires 3+ years of production data pipeline experience with Python, SQL, cloud warehouses, and ETL/ELT tooling.
Ontic
United States
Build scalable analytics engineering infrastructure, SaaS data models, and AI-enabled workflows that support enterprise decision-making. The role requires 3–6 years of hands-on analytics or data engineering experience, strong SQL and modern data modeling expertise, and cloud data warehouse experience.
Underdog Fantasy
United States
Build and operate the data platform supporting automated regulatory reporting for a prediction markets business. The role combines SQL and dbt development, end-to-end data investigation, automated validation, and cross-functional ownership under strict deadlines.
Bevi
Boston, MA
Build and maintain dbt models, Snowflake semantic layers, and ingestion pipelines across business functions while improving data quality and resilience. The role requires 4–6 years of analytics or data engineering experience, strong dbt and SQL expertise, and a quantitative bachelor's degree.
Sigma
New York, NY
Build and scale data architecture, governance, and ETL pipelines across Snowflake, Databricks, and cloud platforms. The role requires 3+ years of data engineering experience, strong API and pipeline expertise, and the ability to collaborate across technical and business teams.