Senior Data Engineer

As Senior Data Engineer, you will be the owner of all data infrastructure and ETL processes at Airspace. You will be responsible for ensuring our data pipelines are performant, scalable, and robust — and that they support our business needs today and as we grow.

This role is not just about building great infrastructure — it's about being a great teammate. We're looking for someone who brings technical excellence and positive energy to the team, who can lead without ego, teach without condescension, and collaborate with humility and clarity.

You'll be the technical thought leader for data engineering: advising on architectural decisions, executing high-impact refactors, and setting the roadmap for how data flows through our systems. This is a high-impact, high-autonomy role reporting directly to the Director of Data Science and AI, with the opportunity to shape the future of our data platform.

• 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

• 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

• Collaborative and approachable: You enjoy partnering across disciplines, teaching and supporting others, and explaining complex technical ideas clearly and without ego.
• Feedback-oriented: You take feedback as a way to grow and improve, and give feedback in a constructive, respectful way.
• Bias for action: You're proactive and solutions-oriented, but know when to pause and bring others in.
• Growth mindset: You're curious, open to learning, and comfortable not always being the smartest person in the room.

• Be part of a mission-driven company solving real-world, time-critical problems
• Own and lead the data engineering function with significant autonomy
• Collaborate with a high-performing Data Science and AI team
• Competitive salary, equity, and benefits
• Opportunity to shape the future of our data platform and influence how data enables every function of the business

• Salary Range: $130-180K
• High-quality health, dental, and vision plan options
• Unlimited PTO
• 401K with company match