Own and evolve our data infrastructure and pipelines
Design, build, and maintain reliable ETL pipelines that ingest data from internal application postgres databases and external SaaS platforms (e.g. Salesforce, Twilio, Zendesk)
Manage and scale our orchestration layer built in Airflow
Ensure reliability, consistency, and performance across our data systems through strong engineering practices and operational discipline
Oversee and optimize how data flows into and through our warehouse layer (Snowflake), ensuring transformations (via dbt) integrate cleanly into upstream and downstream systems
Be a technical leader and strategic architect
Set a high bar for technical excellence, promoting clean architecture, code quality, and maintainability through thoughtful design, hands-on coding, and code reviews
Drive architectural improvements and lead system-level refactors to improve performance, scalability, and efficiency
Continuously evaluate and recommend tools, frameworks, and methodologies that enhance platform capabilities and developer velocity
Level up our data function across the full lifecycle
Act as a trusted partner to stakeholders in Product, Data Science, and Infrastructure, helping shape technical roadmaps that align with business priorities
Identify and resolve systemic bottlenecks in our data workflows, and proactively implement process improvements
Mentor teammates and foster a collaborative, inclusive, and high-performing engineering culture.

Requirements

6+ years of experience in data engineering or backend infrastructure roles
Expert level Python engineering skills
Thorough knowledge and understanding of Airflow (familiarity with Astronomer or Google Cloud Composer is a plus)
Experience managing and optimizing data infrastructure built on Snowflake (preferred) or BigQuery, including warehouse design, performance tuning, and cost efficiency
Familiarity with dbt core, including how it fits into modern data pipelines and transformation layers
Solid understanding of SQL (especially in the context of large-scale warehouse environments)
Proficiency in Git, version control, and collaborative development workflows
Comfort working with CI/CD pipelines and deployment automation
Experience ingesting data from both internal and third-party systems.

Benefits

High-quality health, dental, and vision plan options
Unlimited PTO
401K with company match

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonETLAirflowSnowflakedbtSQLGitCI/CDdata engineeringbackend infrastructure

Soft Skills

technical leadershipstrategic architecturecode qualitymentoringcollaborationproblem-solvingprocess improvementcommunicationoperational disciplinestakeholder management