Data Engineer

Hybrid in San Jose, CA, US • Posted 16 hours ago • Updated 14 hours ago
Contract W2
75% Travel Required
Hybrid
$60 - $70/hr
Fitment

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Job Details

Skills

  • ETL
  • LLMs
  • Data Engineer
  • Snowflake
  • Databricks
  • Payments domain

Summary

Title: Data Engineer
Locations: Cupertino, CA; New York City, NY; Austin, TX – (candidates within commuting distance)
3 days a week client Office
Contract: 9+ Months
W2 Only

Job Description: 

The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products.
This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems.

Key Responsibilities

  • Data Engineering & Architecture
  • Design and implement scalable batch and near-real-time data pipelines.
  • Develop ETL/ELT workflows optimized for performance and cost.
  • Implement dimensional data models and standardize business metrics.
  • Instrument APIs and user journeys to capture behavioral and transactional data.
  • Data Governance & Quality
  • Ensure data integrity, governance, privacy, and compliance.
  • Maintain reliability and availability of mission-critical systems.

Required Qualifications

  • 6+ years of experience in data engineering for analytics or ML systems.
  • Strong SQL proficiency.
  • Experience in Python, Scala, or Java.
  • Hands-on experience with Spark, Kafka, and Airflow (or similar).
  • Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg).
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Comfortable participating in rotating on-call.
  • Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau.
  • Familiarity with CI/CD, data observability, infrastructure-as-code.
  • Exposure to MLOps and GenAI/RAG pipelines.
  • Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG).
  • Experience in FinTech, Wallet, or Payments domain.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10309076
  • Position Id: 8913720
  • Posted 16 hours ago
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