Sr. Software Engineer

6sense•San Francisco, CA

4d•Remote

About The Position

About the Role You are a Data Engineer, who is passionate about writing beautiful code and building great products. You have an intuitive sense of the right tools and frameworks to use to solve a given problem. You are not afraid to traverse the entire spectrum of the development process from writing code and testing to deploying and managing your systems in production. You are smart but know that there is no substitute for hard work. You have good communication skills, a ‘can do’ entrepreneurial attitude, and a team-oriented mindset.

Requirements

BS/MS degree in Computer Science or related technical field or equivalent practical experience
Experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka etc.)
Experience with performing 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, or equivalent) to design, implement, and optimize data pipelines and large-scale data processing systems
Passionate and self-motivated about technologies in the Big Data area

Nice To Haves

Experience with Django framework
Exposure to AWS
You can work independently as well as part of a team
You take ownership of projects and drive them to conclusion
You’re a good communicator and are capable of not just doing the work, but teaching others and explaining the “why” behind complicated technical decisions
You can present your architecture and designs to cross teams
You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll want you to evolve with it!

Responsibilities

Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, 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 both technical and non-technical stakeholders