Data Engineer

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September 24

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Mission Lane

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Fintech • Banking • B2C

Mission Lane is a financial services company that focuses on providing accessible credit options for individuals, particularly those underserved by traditional financial institutions. They offer the Mission Lane Visa® Credit Card, which allows applicants to see if they are approved without impacting their credit score. The company aims to support members on their financial journeys through education and tools that promote healthy financial habits, ensuring that millions of Americans have access to the resources they need to build credit and improve their financial situations.

501 - 1000 employees

Founded 2018

💳 Fintech

🏦 Banking

👥 B2C

📋 Description

• Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP. • Engage in efforts to advance code quality, test coverage, and maintainability of data pipelines. • Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation. • Support the adoption of data quality tools and practices (e.g., data lineage, automated alerting). • Research, evaluate, and recommend new technologies and tools to improve the data platform. • Contribute to the data architecture and design of the data warehouse. • Collaborate with software engineering teams to define data structures, streamline ingestion processes, and ensure data consistency. • Work closely with stakeholders (data scientists, analysts, business users) to understand data needs and translate them into technical requirements. • Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability. • Contribute to the development and maintenance of CI/CD pipelines for data infrastructure. • Participate in on-call rotation to support critical data pipelines. • Identify and address inefficiencies in data engineering processes.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • 2+ years of experience in data engineering • Strong analytical SQL skills • Strong Python skills • Understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD) • Experience with data warehousing technologies, preferably Snowflake • Experience with cloud platforms, preferably GCP (Google Cloud Platform), including services like Cloud Functions, and GCS • Experience designing and implementing reliable and resilient ETL/ELT pipelines • Excellent communication, collaboration, and problem-solving skills • Mission Lane is not sponsoring new applicant employment authorization (applicants must be authorized to work in the U.S.) • Experience with Snowflake • Experience with dbt • Experience with Montecarlo • Experience with Airflow • Experience with data governance and data quality frameworks • Knowledge of data modeling principles • Experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes Config Connector)

🏖️ Benefits

• Additional compensation in the form(s) of participation in our annual incentive program and equity are dependent on role. • unlimited paid time off • 401(k) match • a monthly wellness stipend • health insurance options • dental insurance options • vision insurance options • disability coverage • paid parental leave • flexible spending account (for childcare and healthcare) • life insurance • remote-friendly work environment