Senior Data Engineer

Wagmo•New York, NY

3d•Onsite

About The Position

We are hiring a Senior Data Engineer to build and scale the data infrastructure that powers Wagmo's growth. You'll design and maintain robust pipelines, architect our data warehouse, and partner closely with Analytics, Finance, Product, Marketing, and Engineering to ensure clean, reliable data flows across the business. You bring hands-on expertise in Python, SQL, and modern data stack tooling, and you care as much about data quality and governance as you do about shipping fast. You'll translate ambiguous business problems into durable technical solutions, mentor the next generation of data talent, and help us build the data foundation that will carry Wagmo from startup to scale.

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.