At Data Society, we provide bespoke, leading-edge data and AI 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. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.
Role Summary:
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 run ML/AI models on top of enterprise-scale data and 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.
Responsibilities:
Skills you bring:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
This position will be remote / work from home based out of the Washington, DC area with travel to client sites in DC if needed.
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