Zip

Zip

Zip is a leading global 'Buy Now, Pay Later' company that provides fair and seamless financial solutions. With a mission to be the first payment choice everywhere, Zip offers transparent, flexible, and interest-free credit to consumers, merchants, and ...

Banks
1K-5K
Founded 2013
$823M raised

Description

  • Design, build, and operate scalable batch, streaming, and event-driven data pipelines.
  • Develop reusable data products, dimensional models, and semantic models for business decision-making.
  • Build and optimize ETL/ELT workflows using modern transformation and orchestration frameworks.
  • Improve data quality, reliability, observability, monitoring, and anomaly detection.
  • Design near-real-time data capabilities for transaction monitoring, fraud detection, and operational intelligence.
  • Improve platform performance, scalability, architecture, and cost efficiency across warehouse and lakehouse environments.
  • Implement CI/CD, automated testing, infrastructure as code, documentation, governance, and production ownership.
  • Partner with Data Science and Machine Learning teams to create reliable, AI-ready datasets and pipelines.
  • Lead complex technical initiatives, influence architecture, mentor engineers, and establish reusable engineering standards.

Requirements

  • 5+ years of experience building and operating scalable data pipelines and enterprise data platforms in production.
  • Advanced SQL and strong Python skills, including maintainable, tested, production-quality code.
  • Experience with cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or Redshift.
  • Strong data modeling skills, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and analytical models.
  • Experience with dbt or equivalent transformation tools and Airflow, Dagster, or similar orchestration platforms.
  • Experience with streaming, CDC, or event-driven architectures using Kafka, Azure Event Hubs, Spark Structured Streaming, or comparable technologies.
  • Knowledge of data warehouses, data lakes, lakehouses, curated data products, governance, lineage, and metadata.
  • Experience with data quality, automated testing, monitoring, observability, and production troubleshooting.
  • Hands-on experience with Azure, AWS, or GCP; Azure is preferred.
  • Strong software engineering practices, including Git, code reviews, CI/CD, and infrastructure automation.
  • Ability to make architecture decisions and balance scalability, performance, reliability, and cost.
  • Experience collaborating across Engineering, Analytics, Product, Risk, Finance, and Data Science.
  • Experience mentoring engineers and contributing to team-wide technical standards.
  • Familiarity with AI-enabled engineering tools and AI-ready data platforms.
  • Alignment with Zip’s values: Customer First, Own It, Stronger Together, and Change The Game.

Benefits

  • Base salary range of $134,000–$175,000 USD.
  • Potential bonus and/or equity awards.
  • Flexible working culture and incentive programs.
  • Unlimited PTO, generous paid parental leave, and family support policies.
  • Company-sponsored 401(k) match.
  • Learning and wellness subscription stipend.
  • Employer-sponsored insurance for employees and dependents, including fully covered plan options.
  • Remote-first work for US employees with an option to work from the Manhattan office.

Interested in this position?

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