Data Engineer

About You

You are intellectually curious, possess good problem-solving skills, and always strive to deliver high-quality work. You are an effective communicator and break down technical challenges for non-technical audiences. You have a strong sense of ownership and like to solve technical puzzles. In the face of ambiguity, you keep a cool head and consider the trade-offs of the choices in front of you. When data outages occur, you switch your course of action and prioritize tasks effectively. You embrace feedback as a chance to grow. You generously share your learnings with others.

What You'll Do

• Work together with a highly talented and motivated team of engineers to ensure that our customers can count on Alloy's data platform providing them data promptly and reliably every day.

• Build, maintain, and improve data integrations that extract, transform, and load data from various, disparate retailer data sources into a standardized schema for our data platform.

• Collaborate closely with other engineers, Product, and Client Solutions in cross-functional project teams to develop and build new features that enhance the capabilities of our data platform and product as we continue to scale our business.

• Become intimately familiar with data pipelines, cloud infrastructure, supply chain and logistics fundamentals, and a whole host of other technologies and concepts.

• Get to know the data back office of many retailers you know from your daily shopping and learn more about some of your favorite brands' businesses.

• Contribute to Alloy.ai's engineering roadmap by bringing your ideas into our product development cycle.

What We Are Looking For

• A Bachelor's degree in a quantitative discipline (e.g., computer science, statistics, mathematics), a related field, or equivalent work experience.

• 1+ years of full-time work experience - including internships - in a similar position working with data pipelines and Extract, Transform, Load (ETL).

• A good understanding of core Data Engineering concepts such as ETL, batch processing, data modeling, and schema normalization across inconsistent data sources.

• Fluent in at least one programming language; preferably work experience of 1-2 years in Python, functional programming experience in Python is a plus. Nice to have: work experience in Java.

• Experience working with relational databases, such as PostgreSQL.

• Interest in learning how the global supply chain works, from retail sales and inventory data to tracking of orders and shipments.

• Nice to have: Experience working with browser automation, web scraping, APIs (REST, GraphQL), and EDI.

• Nice to have: Experience working with one or more of the major cloud infrastructure providers (AWS, Google Cloud, Microsoft Azure) and their solutions for storage, orchestration, and telemetry.