Senior Software Engineer

1w1 week ago

6sense

San Francisco, US · Full-time · $179,400 – $263,120

About this role

6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. People are the heart and soul of 6sense, living by values like Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.

You are a Data Engineer passionate about writing beautiful code and building great products with the right tools and frameworks. You traverse the entire development process from coding and testing to deploying and managing systems in production. You bring hard work, good communication, a can-do entrepreneurial attitude, and team-oriented mindset.

6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by customer value. Every 6sensor plays a part in defining the future of industry-leading technology. We serve with passion and purpose.

Join 6sense to make it the best chapter of your career. This role will evolve over time, wanting you to evolve with it. Take ownership and drive projects to conclusion while teaching others the why behind technical decisions.

Requirements

BS/MS degree in Computer Science or related technical field or equivalent practical experience
Experience in Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka)
Experience with data analysis, data ingestion, and data integration
Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
Experience with schema design, data modeling, and SQL queries
Hands-on experience using modern AI coding assistants (e.g., Claude Code, Windsurf) to design, implement, and optimize data pipelines and large-scale data processing systems
Passionate and self-motivated about technologies in the Big Data area

Responsibilities

Design and build data transformations efficiently and reliably for reporting, growth analysis, and multi-dimensional analysis
Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
Establish strong engineering design standards and best practices for technical and non-technical stakeholders
Perform data analysis, data ingestion, and data integration
Architect ETL processes for extraction, transformation, and loading
Develop schema design, data modeling, and SQL queries
Deploy and manage data systems in production