Job Description
Job Description Staff Data Engineer Artera - Denver, CO On-site, Remote Heart & Hypertension Full-time - Posted 10 hours ago About Artera Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents for every step of the patient journey. Trusted by 1,000+ provider organizations — including specialty groups, FQHCs, large IDNs and federal agencies — engaging 100 million patients annually. Artera’s virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. Demographics Our Impact: Trusted by 1,000+ provider organizations — including specialty groups, FQHCs, large IDNs and federal agencies — engaging 100 million patients annually. Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America’s Best Startup Employers,” Newsweek as one of the “World’s Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. Summary We are seeking a highly skilled and motivated Staff Data Engineer to join our team at Artera. This role is critical to maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes. City & Local Guides You will report directly to the Engineering VP running the foundations engineering team. Directories & Listings Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, while also taking the lead on investigating and implementing solutions to enhance our data infrastructure. Responsibilities Continuous Enhancement: Maintain and elevate Artera’s data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Artera platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements. Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. Proactive: improves stability and performance of architecture for team implementations. Requirements Bachelor’s Degree in STEM preferred *additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (AWS preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow and Docker. Understanding of performance optimization and cost-effectiveness in Snow