Senior Software Engineer, Data Engineering

5+ years of experience building, maintaining, and orchestrating scalable data pipelines.

3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.

Experience applying a variety of integration patterns for different use cases.

Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas.

Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries.

Experience in data modeling for OLTP and OLAP applications

Competitive salary with generous annual cash bonus

Equity grants

Remote first work from home culture

Flexible Time Off to help you rest, recharge, and connect with loved ones

Generous parental leave

Health, dental, and vision insurance (and above market employer contributions)

We are dedicated to leveraging data to drive strategic decision-making and operational efficiency.

Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights.

The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines.

This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products.

Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.

Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements.