Hybrid - Senior Data Engineer - Mountain View, CA

CA
Contracted
Experienced

Job Title: Senior Data Engineer (High Priority)
Location: Preferably Mountain View, CA — Hybrid (Local candidates highly preferred)
Start Date: Immediate
Duration: 6+ months


About the Role

We are looking for a Senior Data Engineer to join a high-performing team focused on building scalable and reliable data infrastructure. In this role, you will play a key part in designing and implementing modern data pipelines and models that support critical business operations and analytics.

This is a high-priority position in a fast-paced environment. Candidates who thrive in execution-focused, collaborative settings will find this opportunity both challenging and rewarding. Interviews and onboarding are being conducted on an immediate basis.


Key Responsibilities

  • Design and implement scalable and efficient data models and schemas

  • Develop, test, and maintain production-grade data pipelines

  • Collaborate with product, engineering, and analytics teams to enable data-driven decision-making

  • Ensure data quality, consistency, and reliability across the data stack

  • Build and manage ETL workflows using modern tools and best practices

  • Monitor and troubleshoot data pipeline performance and issues


Required Qualifications

  • 7+ years of hands-on experience in data engineering roles

  • Advanced SQL skills with strong experience in data modeling and schema design

  • Proficiency in Python for data processing and scripting

  • Experience with ETL frameworks and tools (e.g., SnapLogic, Airflow, DBT, etc.)

  • Strong analytical and problem-solving skills

  • Ability to work independently in a fast-paced, team-oriented environment

  • Excellent communication and documentation skills


Nice to Have

  • Experience with Snowflake (strongly preferred)

  • Familiarity with SnapLogic or other modern ETL platforms

  • Understanding of CI/CD pipelines and data operations (DataOps) best practices

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