As a Data Engineer at Unite Us, you thrive on solving complex data problems. You're someone who is naturally curious, loves to build new data models and find ways to increase efficiencies by standardizing and automating scripts. The value you bring as an in-house data engineer in the analytics organization is being a subject matter expert in social care and/or health care data and in building a robust data analytics infrastructure which is intuitively designed for analytics. As our co-founders transitioned from military to civilian life, they saw barriers and inefficiencies among their veteran community in trying to navigate the most basic health and social services. Together, they set out to improve that experience for everyone in need through technology that connects people to the care they need, when they need it, in communities across the country.

SurveyMonkey (Nasdaq: SVMK), is a leader in agile software solutions for customer experience, market research, and survey feedback. Our mission is to power the curious and enable organizations, including 98% of the Fortune 500, to transform feedback into action. Our brand is beloved and well known throughout the world--over 6 billion people have taken a SurveyMonkey survey! Today, more than 17 million active users rely on our platform to measure and understand feedback from employees, customers, website and app users, and the market. And our enterprise-grade products and solutions enable 335,000 organizations globally to solve daily challenges--from delivering better customer experiences to increasing employee retention.

Mailchimp is a leading marketing platform for small business. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools. MailChimp's Engineering Systems team is responsible for infrastructure that makes that possible. Team members work closely with our Development, Product, Support and Data Systems teams to provide the infrastructure needed to move the company and our products forward. We take a pragmatic and practical approach to our technology stacks; we use proven components and build our business logic on top of understood and supported building blocks.