CertifID is seeking a Staff Data Engineer to enhance their data platform in response to rising cybercrime threats.
The role involves architecting and building scalable data infrastructure to support analytics, product intelligence, and machine learning.
Responsibilities include designing robust data pipelines, leading data architecture decisions, collaborating with cross-functional teams, championing data quality and governance, and mentoring other data engineers.
The position offers an opportunity to contribute to meaningful impact in fraud prevention and work in a dynamic environment recognized for its culture and growth.
Requirements:
Candidates must have proven experience as a staff-level data engineer in a fast-paced, product-driven environment, with at least 8 years of engineering experience.
Experience in leading teams of engineers to develop a long-term technical vision and plans is required.
Deep expertise in cloud data platforms such as Snowflake, BigQuery, or Redshift, and orchestration tools like Airflow or dbt is essential.
Strong programming skills in Python or Scala, along with proficiency in SQL, are necessary.
Experience with real-time data processing tools like Kafka or Spark Streaming and data modeling for analytics and machine learning is required.
A growth mindset, strong ownership, and a passion for solving complex problems are important traits for candidates.
Benefits:
CertifID offers flexible vacation and 12 company-paid holidays.
Employees receive 10 paid sick days and do not work on their birthdays.
Health, dental, and vision insurance options are available, including a $0 option.
A 401(k) plan with matching and no waiting period is provided.
Employees are offered equity, life insurance, and generous parental paid leave.
Wellness reimbursement of $300 per year and remote worker reimbursement of $300 per year are included.
Professional development reimbursement is available, along with competitive pay and an award-winning culture.