Alloy.ai
Data Engineer
Hybrid
Full Time
#Engineering
#Python
#Java
#ETL
#Data Modeling
#Data Warehousing
#Postgres
#Database Queries
#AWS
#Google Cloud
#Microsoft Azure
Alloy.ai is looking for a Data Engineer
Full TimeJuniorHybridUnited StatesEngineeringPythonJavaETLData ModelingData WarehousingPostgresDatabase QueriesAWSGoogle CloudMicrosoft AzureEnglishHybrid work
About Alloy.ai
At Alloy.ai, we work with consumer goods companies that make the products we eat, wear, and use every day, as well as the ones we occasionally splurge on. We’re tackling a real and complex problem for them—managing supply and demand in the face of constantly changing customer behavior, highly complex supply chain networks, 40-year-old data standards and labor-intensive manual processes.
Alloy.ai is a fast-growing, well-funded startup with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another.
We encourage people of all backgrounds to apply. Alloy.ai is committed to creating an inclusive culture, and we celebrate diversity of all kinds.
About The Role
Our data platform is an integral part of Alloy.ai’s value proposition. We offer more than 400 active integrations to connect and harmonize our customers’ data from a variety of data sources.
Our customers rely on Alloy.ai to provide accurate and complete data in a timely manner to run their businesses. Data Engineers are responsible for building, maintaining, and expanding these integrations. The team uses an array of monitoring tools to detect and address any data issues. We keep expanding and improving our data pipeline as our business grows to stay ahead of competing solution providers and so that our customers get the highest value out of their data.
About You
To succeed in the role of a Data Engineer, you should possess curiosity, creativity, and good problem solving skills and be an effective communicator.
You can expect a blend of building data integrations, maintenance and feature development. You will write production-grade Python code for our data pipeline which processes our customers’ data at any time of day. You will 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.
You will work to connect external systems posing many interesting challenges: data availability, data cleanliness, reliability. You will use web scraping, APIs, ODBC, AS2 and other technologies to fetch and transform data.
What You Will Do
What We Are Looking For
Role is a hybrid role based in Washington, DC. Hybrid is defined by our company as 3+ days/week in the office when not on vacation.
Unfortunately, remote employees will not be considered for this role.
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