Data Engineer (W2 Candidate only)
Compensation estimateAI
See base, equity, bonus, and total comp estimates for this role — free, no credit card.
Sign up to see compensation estimateRole:
Data Engineer (W2 Candidate only)
Duration:
9+ Months
Location:
Cupertino, CA; New York City, NY; Austin, TX (Hybrid – 3 days/week onsite)
Job Description:
We are seeking an experienced
Data Engineer
to design and scale modern data architectures supporting Wallet, Payments, and Commerce products. The ideal candidate will build high-performance batch and near real-time data pipelines that enable advanced analytics and machine learning use cases. This role requires strong expertise in data modeling, scalable data systems, and modern data platforms.
Key Responsibilities:
• Design and implement scalable batch and streaming data pipelines.
• Build and optimize ETL/ELT workflows for performance, reliability, and cost efficiency.
• Develop dimensional data models and standardize key business metrics.
• Capture behavioral and transactional data by instrumenting APIs and user journeys.
• Ensure data governance, quality, privacy, and compliance across platforms.
• Maintain reliability and availability of mission-critical data systems.
Required Qualifications:
• 6+ years of experience in data engineering supporting analytics or ML systems.
• Strong SQL skills and proficiency in Python, Scala, or Java.
• Experience with Spark, Kafka, and Airflow or similar tools.
• Knowledge of lakehouse architectures such as Iceberg.
• Experience with cloud platforms (AWS, Azure, or GCP) and tools like Snowflake, Databricks, or Tableau.
• Exposure to MLOps, GenAI/RAG pipelines, and FinTech or Payments domain is preferred.