Data Engineer

3 hours, 42 minutes ago
Mid Level
Software Development
Resident Home

Resident Home

Resident Home is a direct-to-consumer company that offers a wide range of home goods products, including mattresses, bed frames, bedroom furniture, and bedding items. With a focus on comfort and quality, Resident Home's brands like Nectar, DreamCloud, ...

Specialty Retail
251-1K
Founded 2017
$157M raised

Description

  • Design and build end-to-end data pipelines from source definition and API integration to trusted datasets.
  • Translate business needs and product roadmap priorities into scalable data solutions, pipelines, and tools.
  • Partner with Product, Finance, Operations, Analysts, and R&D teams to turn business challenges into data models and infrastructure.
  • Write high-quality, maintainable code using modern data tooling and CI/CD principles.
  • Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability.
  • Integrate multiple internal and external data sources into scalable data models and pipelines.
  • Automate manual workflows and help modernize existing data assets.
  • Support analytics, reporting, operational workflows, and internal data tooling.
  • Serve as a technical partner across the organization to ensure reliable and trusted data.

Requirements

  • B.A. or B.Sc. degree in a highly quantitative field.
  • 4+ years of hands-on experience in data engineering.
  • Experience building data pipelines, writing complex SQL, and structuring data at scale.
  • Experience with Google Cloud data technologies such as BigQuery, Cloud Composer/Airflow, Pub/Sub, and Cloud Functions, or equivalent AWS/Azure services.
  • Hands-on experience with dbt for data transformation and modeling.
  • Practical experience using AI tools such as Claude, Cursor, or GitHub Copilot to improve productivity.
  • Experience building internal data tools, automation workflows, or AI-powered solutions.
  • Strong communication skills and the ability to work effectively with technical and business stakeholders.
  • Strong ownership, high attention to detail, and the ability to manage multiple priorities in a dynamic environment.
  • Fluent English and experience working with global teams.
  • Experience designing and building scalable data systems for multiple data applications (nice to have).
  • Background in data-driven companies in large-scale environments (nice to have).

Interested in this position?

Apply directly on the company website

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