Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of comprehensive data systems and pipelines that serve the needs of various teams and customers.

• Design and implement data integrations across diverse backend business systems to ensure efficient and reliable data flows.

• Engage in streaming data processing utilizing frameworks such as Apache Beam to manage real-time data ingestion and transformation.

• Develop and maintain APIs to facilitate seamless data access and sharing among internal teams and platforms.

• Oversee the orchestration and automation of workflows using Airflow on Kubernetes.

• Establish a clear definition of "correct" for the data you manage, supported by monitoring, alerting, and integration tests.

• Create reusable patterns and components (hooks, plugins, alerting utilities) that can be easily adopted by other engineers and processes.

• Decompose ambiguous tasks into actionable steps, identify edge cases and failure modes early, and clarify requirements with stakeholders.

• Articulate trade-offs, assumptions, and risks effectively during design reviews and pull requests.

⛳️ Requirements

• Minimum of 5 years of experience in Data Engineering.

• At least 3 years of experience with Airflow.

• Proficient in Python and SQL.

• Strong familiarity with our existing technology stack: Snowflake, Airflow, DBT, GCP.

• Bachelor’s degree in Computer Science or a related field.

🏝️ Benefits

• Competitive medical, dental, and vision insurance.

• Stock options available.

• Complimentary Premium-Tier Origin Financial Wellness subscription.

• Monthly stipend for home office expenses.

• 401k plan through TransAmerica.

• 12 weeks of paid parental leave for both birthing and non-birthing parents.

• Flexible time off policy along with sick and safe time.

• 11 paid company holidays.

• Branch@Branch Same Day Pay Option.