Data Engineer - ETL & Data Pipelines (Hybrid, DC)

Alloy.ai; Washington (District of Columbia); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Alloy.ai is seeking a Data Engineer to join our growing data team in Washington, DC. You will build, maintain, and improve data integrations, ETL pipelines, and data models that serve multiple internal teams and customers.

The role is full-time, hybrid with 3+ days in the office, 9am–5pm ET, and requires Python knowledge, PostgreSQL experience, and a passion for scalable data architectures. Join a fast-moving, inclusive startup that values ownership, collaboration, and delivering timely,

Qualifications

• Bachelor's degree in a quantitative discipline or equivalent work experience.
• 1+ years of full-time work experience in data pipelines and ETL.
• Strong understanding of ETL, batch processing, data modeling, and schema normalization.

Responsibilities

• Collaborate with engineers to ensure data platform delivers reliable data daily.
• Build, maintain, and improve ETL data integrations from diverse retailer sources.
• Work with Product Solutions to develop features that scale our platform.
• Develop familiarity with data pipelines, cloud infrastructure, and supply chain fundamentals.
• Explore data back office data from retailers and brands.
• Contribute to the engineering roadmap with ideas for product development.

Skills

ETL concepts

Python

Data pipelines

SQL

Education

Bachelor's degree in a quantitative discipline

Tools

PostgreSQL

AWS

REST/GraphQL

Job description

Alloy.ai is seeking a Data Engineer to join our growing data team in Washington, DC. You will build, maintain, and improve data integrations, ETL pipelines, and data models that serve multiple internal teams and customers.

The role is full-time, hybrid with 3+ days in the office, 9am–5pm ET, and requires Python knowledge, PostgreSQL experience, and a passion for scalable data architectures. Join a fast-moving, inclusive startup that values ownership, collaboration, and delivering timely,