Data Engineer
Company: Data Society
Location: Remote (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-17
About this role
About Data Society Group
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of:
- CDO Magazine, the trusted voice of global data and AI leadership
- The Data Lodge, a pioneer in data literacy and cultural transformation
- Data Society, delivering applied AI education and custom-built solutions
- InspiredMinds!, a convening force behind the world’s most inclusive AI community
We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you!
About the Role
The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must.
As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify. Occasional travel to client offices in Richmond, VA will be required, and preference will be given to local DMV area candidates.
This is a full-time, remote/work from home, benefits eligible position.
Responsibilities:
- Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.
- Design and manage large-scale data warehouses, ...