Senior Data Engineer at Airspace

San Diego, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Freight Forwarding, TechnologyIndustries

Requirements

6+ years of experience in data engineering or backend infrastructure

Responsibilities

Own and evolve 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 the orchestration layer built in Airflow
Ensure reliability, consistency, and performance across data systems through strong engineering practices and operational discipline
Oversee and optimize how data flows into and through the warehouse layer (Snowflake), ensuring transformations (via dbt) integrate cleanly into upstream and downstream systems
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
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 data workflows, and proactively implement process improvements
Mentor teammates and foster a collaborative, inclusive, and high-performing engineering culture

Skills

Key technologies and capabilities for this role

ETLData PipelinesData InfrastructureScalable SystemsRobust Pipelines

Questions & Answers

Common questions about this position

What is the location or work arrangement for this role?

This information is not specified in the job description.

What is the salary or compensation for the Senior Data Engineer position?

This information is not specified in the job description.

What technical skills are required for this role?

The role requires experience with Postgres databases, ETL pipelines from SaaS platforms like Salesforce, Twilio, and Zendesk, Airflow for orchestration, Snowflake for data warehousing, and dbt for transformations.

What is the company culture like at Airspace?

Airspace seeks passionate, motivated individuals who bring technical excellence and positive energy, lead without ego, teach without condescension, and collaborate with humility and clarity.

What makes a strong candidate for this Senior Data Engineer role?

Strong candidates own data infrastructure, act as technical thought leaders, advise on architecture, execute refactors, and demonstrate teamwork with high autonomy.

Airspace

AI-powered time-critical shipment platform

About Airspace

Airspace provides an automated platform for time-critical shipments, utilizing AI-powered routing and real-time insights to ensure efficient and reliable operations globally. Working here offers the opportunity to be part of a team that values cutting-edge technology and customized solutions, fostering a culture that thrives on innovation and efficiency. This is an ideal environment for those who excel in a technically advanced and dynamic industry, contributing to a trusted delivery network.

Carlsbad, CaliforniaHeadquarters

2014Year Founded

$132.3MTotal Funding

LATE_VCCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees