EverHealth – Senior Data Engineer (Remote, US)

EverCommerce is a leading service commerce platform that provides vertically tailored, integrated SaaS solutions. They are seeking a Senior Data Engineer to design, implement, maintain, and enhance data warehouse and data pipelines for effective reporting and analytics, ultimately improving healthcare efficiency and patient care.

Responsibilities:

• Design, build, and maintain scalable data pipelines and warehouse infrastructure to support analytics and reporting needs
• Develop and maintain clean, well-modeled datasets optimized for analytics and self-service reporting
• Partner with product managers and stakeholders to define key metrics, reporting requirements, and product analytics needs
• Build and maintain BI dashboards and reports that provide visibility into product performance, operational metrics, and customer behavior
• Ensure data quality, reliability, and governance across the analytics platform
• Integrate and maintain data ingestion pipelines from internal and external systems
• Improve the data warehouse performance and data modeling layer to enable faster and more reliable analytics
• Enable self-service analytics by creating curated datasets and semantic layers for internal teams
• Document datasets, metric definitions, and data lineage to improve data discoverability and trust in data
• Collaborate with engineering teams to ensure data is captured, modeled, and surfaced effectively for analytics use cases

Requirements:

• 7+ years of experience in data engineering, analytics engineering, or data platform development
• 7+ years of advanced SQL experience working with large datasets
• 5+ years experience with programming languages such as Python, R, Go, or JavaScript
• 5+ years experience with data transformation frameworks such as dbt core or similar tools
• 5+ years experience leveraging cloud technologies (AWS preferred) for data pipelines, storage, and analytics
• 3+ years experience with modern columnar data warehouses such as Amazon Redshift, Snowflake, or Google BigQuery
• Strong experience designing data models optimized for analytics and reporting
• Experience building BI dashboards using tools such as ThoughtSpot, Looker, Tableau, PowerBI, or similar
• Experience working with data ingestion tools such as Fivetran, AWS DMS, Kafka, Spark, or similar technologies
• Strong understanding of data governance, privacy, and access control
• Ability to translate business questions into data models, metrics, and dashboards
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders
• Demonstrated ability to solve complex data problems and deliver scalable solutions