Staff Data Engineer

Summary

Join CertifID, a leading fraud prevention company, as a Staff Data Engineer and help us build the next generation of our data platform. This high-impact role involves designing and building scalable data infrastructure, empowering data-driven decisions, and collaborating with data scientists, engineers, and business stakeholders. You will lead data architecture decisions, champion data quality and governance, and mentor other data engineers. We offer a dynamic work environment, an award-winning culture, and competitive pay. We are scaling fast, providing an opportunity to shape the future of our data platform and make a significant contribution to fraud prevention.

Requirements

• Proven experience as a staff-level data engineer in a fast-paced, product-driven environment
• Engineering experience of 8+ years
• Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it
• Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt)
• Strong programming skills in Python or Scala, and proficiency with SQL
• Experience with real-time data processing (e.g., Kafka, Spark Streaming) and data modeling for analytics and ML
• A growth mindset, strong ownership, and a passion for solving complex problems that matter

Responsibilities

• Design and build robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning
• Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform
• Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence
• Champion data quality and governance, implementing best practices for data validation, lineage, and observability
• Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning

Preferred Qualifications

• Experience in fintech, cybersecurity, or fraud prevention
• Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA)
• Contributions to open-source data tools or communities

Benefits

• Health, dental, and vision Insurance (including a $0 option)
• 401(k) with matching, and no waiting period
• Equity
• Wellness reimbursement of $300/year
• Life insurance
• Parental leave
• Flexible vacation
• 12 company-paid holidays
• No work on your birthday