Senior Software Engineer, Data Platform

Wagmo•New York, NY

3d•$180,000 - $210,000•Onsite

About The Position

Wagmo is hiring a Senior Software Engineer, Data Platform to build and scale the data infrastructure that powers Wagmo's growth. This role involves designing and maintaining robust pipelines, architecting the data warehouse, and collaborating with various departments (Analytics, Finance, Product, Marketing, and Engineering) to ensure clean and reliable data flow across the business. The ideal candidate will have hands-on expertise in Python, SQL, and modern data stack tooling, with a strong focus on data quality and governance. This position offers the opportunity to translate business problems into technical solutions, mentor junior data talent, and contribute to building the data foundation for Wagmo's expansion. Our Tech Stack includes: BigQuery, dbt, Fivetran, Python, GCP, GitHub, Tableau, Slack, Notion, and Claude.

Requirements

5+ years in data engineering, ideally at a high-growth SaaS or consumer tech company, with a track record of owning production-grade pipelines and data warehouse solutions
Expertise in Python and SQL
Deep dbt experience on BigQuery (or similar)
Srong Git/CI/CD practices
Familiarity with GCP and orchestration tools like Airflow or Fivetran
Solid grasp of data warehousing fundamentals: dimensional modeling, ETL/ELT design, query optimization, and data quality frameworks
Strong understanding of building data models for AI (we use Claude)
Strong communicator who can lead projects, mentor teammates, and work cross-functionally without hand-holding
Autonomous and high-ownership; comfortable making calls under ambiguity in a fast-moving environment

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture (BigQuery). Own the infrastructure end-to-end and continuously evolve it as the business grows.
Define and implement data models and dbt transformations that are clean, well-tested, and built to last, with strong standards for CI/CD, code review, and documentation.
Ensure data quality and reliability across all systems through validation, monitoring, anomaly detection, and clear data contracts and lineage documentation.
Partner with Data Analytics, Finance, Product, Marketing, and Engineering to deliver the clean, accessible data they need to make decisions. Translate complex technical concepts clearly for non-technical stakeholders.
Lead projects from scoping to delivery, and raise the bar for the team's engineering practices.