Data Engineer

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

📋 Description

• Develop and sustain data pipelines that are essential for teams and customers.

• Interface with both internal and external APIs to facilitate data transmission.

• Coordinate and automate workflows utilizing Airflow on Kubernetes.

• Establish unit tests, monitoring, and alerting to guarantee data integrity.

• Enhance the visibility and efficiency of current data pipelines.

• Supervise production pipelines, troubleshoot issues, and document root causes.

• Collaborate with stakeholders to refine requirements and confirm assumptions.

• Participate in design discussions and identify functional gaps early in the process.

• Provide new pipelines and develop foundational components such as hooks, utilities, and internal libraries.

⛳️ Requirements

• Over 3 years of experience in Data Engineering.

• More than 3 years of experience with Airflow.

• Strong proficiency in Python and SQL.

• Familiarity with Snowflake, Airflow, DBT, and GCP.

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

• Must have current authorization to work in the USA without the need for sponsorship or transfer.

• Experience in the fintech, payments, or a similar industry is a plus.

• Experience with managing Airflow is advantageous.

🏝️ Benefits

• Industry-leading 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 along with sick and safe time policies.

• 11 paid company holidays.

• Branch@Branch Same Day Pay Option.