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Senior Data Engineer

Plaid

Skills

Required

  • pipelines
  • data pipelines
  • data engineering
  • data lakes
  • Redshift
  • Snowflake
  • Databricks
  • Spark
  • Kafka
  • schema design
  • unstructured data
  • SQL
  • modern SQL data orchestration tools
  • Airflow

Preferred

  • data privacy

Join Plaid as a Senior Data Engineer, where you will play a crucial role in enabling business leaders to make informed decisions based on the datasets you build. You will have the opportunity to take ownership of internal datasets and visualizations, collaborate with various teams across the company, and lead key data engineering projects. This position offers competitive pay, comprehensive health benefits, and a vibrant office environment.

You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure

USD 190,800 - 238,800

About Plaid

  • You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption
  • You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs

Responsibilities

  • Concevoir et construire des ensembles de données internes et des visualisations, en prenant la responsabilité de leur qualité et de leur performance.
  • Collaborer avec toutes les équipes de l'entreprise pour comprendre les différents aspects du produit Plaid et informer les choix de conception des ensembles de données.
  • Diriger des projets clés d'ingénierie des données qui favorisent la collaboration à travers l'entreprise, en plaidant pour l'adoption d'outils et de pratiques de l'industrie.
  • You are a champion for data privacy and integrity, and always act in the best interest of consumers

Requirements

  • You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
  • 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale
  • You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks
  • You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka
  • You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data
  • You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow

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