Everhealth – Senior Data Engineer (Remote, US)

Senior Data Engineer

EverCommerce [Nasdaq: EVCM] is a leading service commerce platform, providing vertically tailored, integrated SaaS solutions that help more than 690,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. Specializing in Home & Field Services, Health Services, and Fitness & Wellness industries, EverCommerce solutions include end-to-end business management software, embedded payment acceptance, marketing technology, and customer engagement applications. 

EverHealth, a division of EverCommerce, is seeking a Senior Data Engineer to make significant contributions to our EverHealth EHR Product Reporting and Analytics capabilities. We are seeking a Senior Data Engineer to focus on designing, implementing, maintaining and enhancing our data warehouse and data pipelines (per brand) for the purpose of incorporating in-application operational reporting and analytics into our products.  This role presents an opportunity to work with multiple brands under the Everhealth umbrella, including different technology stacks, customer use cases, and data sources. Success in this role will drive improved healthcare efficiency and ultimately better patient care.

The EverHealth vertical of EverCommerce provides products and services to healthcare professionals nationwide and includes a range of market-leading products like CollaborateMD, eProvider Solutions, Updox, AlertMD, MD Tech, AllMeds, iSalus Healthcare, and DrChrono. 

Where:
The EverCommerce team is distributed globally, with multiple office locations across the U.S. and Canada. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States; if you're near one of our offices and want to work in-office, we can set that up, or this role can be 100% remote. You must be eligible to work in the United States in order to qualify for this role. This role may require periodic travel. 

You:
You are passionate about building and delivering scalable enterprise-class cloud-based data pipelines, lakes/warehouses and have a proven track record for turning ideas into sustainable solutions. You have worked in Healthcare IT and understand the wants and needs of a physician clinical solution. You want to interact with stakeholders and partners in all areas of our organization to develop solutions to solve customer business challenges. You are is responsible for ensuring that data is readily available, secure, and accessible to customers when they need it. Data engineering is a synthesis of software engineering and data science, so knowledge of both fields is advantageous. 

Responsibilities:

• Leads and participates in the design, build and management of data infrastructure for optimal extraction, transformation, and loading from a wide variety of data sources.
• Create, maintain and evolve Big Data AI/machine learning solutions, using complex healthcare data to produce actionable insights
• Ensuring data accessibility at all times while implementing company data policies with respect to data privacy and confidentiality.
• Cleaning and wrangling data from primary and secondary sources into formats that can be efficiently utilized by data scientists and other data consumers.
• Collaborating with engineering teams, data scientists, and other stakeholders to understand how data can be leveraged to meet business needs.

Essential Job Functions: 

• ETL and Data Pipeline engineering – 60%
• Data accessibility, privacy, and policy adherence development – 10%
• Data consumption and visualization development – 15%
• Domain knowledge gathering – 10%
• Meetings/Presentations/Demos – 5%

Required Experience:

• 7+ years of relevant work experience in Data Engineering/ETL Development.
• 7+ years of SQL experience working with large datasets.
• 7+ years experience with programming languages like Python, R, Go, and JavaScript.
• 5+ years experience with data transformation/wrangling tools such as dbt core, Benthos or similar.
• 5+ years leveraging Cloud Technologies (AWS preferred) for data pipelines, analysis and consumption.
• 3+ years experience working with columnar data stores such as Amazon Redshift, Snowflake, Google BigQuery.
• Strong background in software engineering, a