Data Engineer

Externo; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Externo is seeking a Data Engineer to design and maintain scalable data pipelines that ingest, transform, and serve data across analytics and product surfaces. The role is hands-on and focuses on reliable data infrastructure, ensuring data is accessible to teams across the organization.

The position requires strong SQL skills and proficiency in Python or Scala, familiarity with cloud data warehouses or lakehouse environments, and knowledge of orchestration tools; a commitment to data quality and

Qualifications

• Hands-on experience building production data pipelines.
• Strong SQL and Python or Scala skills.
• Familiarity with cloud data warehouses or lakehouse environments.
• Understanding of orchestration and workflow scheduling tools.
• Commitment to data quality and clear documentation.

Responsibilities

• Design, build, and maintain data pipelines that ingest and transform data at scale.
• Develop and evolve data models, schemas, and transformation logic.
• Monitor pipeline reliability and data freshness, and resolve issues quickly.
• Partner with analytics, product, and engineering teams on data access and tooling.
• Improve pipeline performance, cost efficiency, and operational practices.

Skills

Data pipelines

SQL

Python/Scala

Cloud data warehouses

Orchestration tools

Data quality observability

Job description

Role overview

The Data Engineer role focuses on building data pipelines that move, transform, and serve information used across analytics and product surfaces. It is a hands‑on engineering position working with modern data infrastructure to keep data reliable and accessible to the rest of the organization.

Responsibilities

• Design, build, and maintain data pipelines that ingest and transform data at scale
• Develop and evolve data models, schemas, and transformation logic
• Monitor pipeline reliability and data freshness, and resolve issues quickly
• Partner with analytics, product, and engineering teams on data access and tooling
• Improve pipeline performance, cost efficiency, and operational practices

Requirements

• Hands‑on experience building production data pipelines
• Strong SQL skills and proficiency in a programming language such as Python or Scala
• Familiarity with cloud data warehousing or lakehouse environments
• Understanding of orchestration and workflow scheduling tools
• Care for data quality, observability, and clear documentation