Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates must have 8+ years of engineering experience, with proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Expertise in cloud data platforms like Snowflake, BigQuery, or Redshift, and orchestration tools such as Airflow or dbt is required. Strong programming skills in Python or Scala, proficiency with SQL, and experience with real-time data processing and data modeling for analytics and ML are essential. Preferred experience includes fintech, cybersecurity, fraud prevention, and familiarity with data privacy regulations. A growth mindset, strong ownership, and a passion for solving complex problems are also sought.
The Staff Data Engineer will design and build scalable data pipelines and infrastructure for analytics, product intelligence, and machine learning. They will lead data architecture decisions, ensuring platform performance, reliability, and maintainability. This role involves collaborating cross-functionally to deliver data solutions, championing data quality and governance through best practices, and mentoring other data engineers to foster technical excellence and continuous learning.
Prevents wire fraud in real estate transactions
CertifID focuses on preventing wire fraud in real estate transactions by providing a digital platform that ensures secure fund transfers. The platform validates the identities of all parties involved in a transaction and securely shares wiring information, which helps reduce the risk of fraud and streamline operations for real estate professionals. Unlike its competitors, CertifID emphasizes user-friendliness and integration into existing workflows, allowing clients to regain confidence in their transactions. The company's goal is to protect all parties in real estate deals from wire fraud, ensuring that their funds are safe and secure.