Data Engineer at Alloy.ai

Are you ready to help consumer goods companies navigate the complexities of modern supply chains? At Alloy.ai, we support the brands that make the products you use every day, helping them manage supply and demand in an ever-changing market. We are a well-funded, fast-growing startup with a global presence, and we pride ourselves on a culture that values individual ownership, open communication, and mutual support. If you are passionate about solving real-world problems and want to join a team that celebrates diverse backgrounds, we would love to hear from you.

What you bring

We are looking for a Junior Data Engineer to join our team on a full-time basis in Washington, DC. In this role, you will be a vital part of our data platform team, ensuring our customers receive accurate and timely information. Your work will involve using Python, Java, and various cloud technologies to maintain our extensive integration network. You will be expected to work in a hybrid capacity, spending at least three days per week in our office.

• Build, maintain, and scale data integrations that extract, transform, and load information from diverse retailer sources into our standardized platform.
• Collaborate with product and client solutions teams to develop new features that enhance our platform capabilities as we continue to scale.
• Monitor our data pipelines to detect and resolve issues, ensuring our customers have reliable access to their business data.

Requirements

To be successful in this role, you should have a strong foundation in Data Engineering concepts, including ETL, data modeling, and data warehousing. We require a Bachelor’s degree in a quantitative field like computer science, mathematics, or statistics, along with one to two years of relevant experience. You should be fluent in Python, comfortable writing complex database queries for Postgres, and possess a genuine interest in learning about global supply chain logistics. Ideal candidates are clear communicators who can translate technical concepts for non-technical stakeholders, thrive in collaborative environments, and remain adaptable when prioritizing tasks during data outages. Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure is considered a significant advantage.

What we offer

We are committed to providing a supportive environment where you can grow your skills and contribute to meaningful product development. Our team values mentorship and collaborative problem-solving, and we offer the following benefit:

• Hybrid work arrangement to balance office collaboration with flexibility.

How to Apply

If you are excited about the prospect of building robust data pipelines and working with a talented team of engineers, we encourage you to apply. Please submit your application to join us at Alloy.ai, and we look forward to reviewing your background and discussing how you can contribute to our mission.