Senior Data Engineer - Remote-First, AI-Ready Pipelines

Zip Co Limited

Oregon

Hybrid

USD 134.000 - 175.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Flexible work culture
Unlimited PTO
Parental leave
401k match
Learning stipend
Wellness stipend
Insurance options

Zusammenfassung

Zip is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines across a modern cloud data platform. You will own data models, trusted data products, and reusable workflows that power analytics, risk, finance, and product decisions.

The role emphasizes ownership, reliability, and cost-aware engineering. You will collaborate across Analytics, Risk, Product, and Data Science, mentoring engineers and helping raise the team’s engineering bar.

Qualifikationen

  • 5+ years designing, building, and operating scalable data pipelines in production.
  • Strong SQL and Python, production-quality code.
  • Experience with cloud data platforms and data modeling.

Aufgaben

  • Design, build, and operate scalable batch, streaming, and event-driven data pipelines.
  • Develop trusted, reusable data products and semantic models for analytics and risk.
  • Improve ETL/ELT workflows for efficiency, scalability, and maintainability.
  • Strengthen data quality, observability, and automated validation.
  • Collaborate with Analytics, Risk, Finance, and Data Science to support AI-ready datasets.

Kenntnisse

Advanced SQL
Python
Data modeling
CI/CD
Production systems

Tools

Snowflake
Databricks
Microsoft Fabric
BigQuery
Redshift
dbt
Airflow

Jobbeschreibung

Zip is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines across a modern cloud data platform. You will own data models, trusted data products, and reusable workflows that power analytics, risk, finance, and product decisions.

The role emphasizes ownership, reliability, and cost-aware engineering. You will collaborate across Analytics, Risk, Product, and Data Science, mentoring engineers and helping raise the team’s engineering bar.

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