Senior Data Engineer

WellSky

Data Engineer designing and building scalable data pipelines to support data-driven decisions at WellSky. Collaborating with various stakeholders to enhance data quality, accessibility, and security.

Posted 5/2/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformSQLSSISTableau

About the role

Key responsibilities & impact

Create, develop, maintain, and leverage data pipelines, data models, reporting, and dashboards to solve business problems or assigned tasks in coordination with multiple teams.
Develop and maintain data solutions to enable new or existing solutions and BI development for the data warehouse and data visualization solutions.
Enhance and document workflows for complex data-related challenges by identifying patterns, trends, and anomalies in the data, and find ways to optimize data processing and storage to promote data quality through automation.
Develop understanding of different WellSky solutions and become a subject matter expertise in the healthcare domain.
Identify opportunities in code reviews and contribute to the development of best practices and coding standards.
Adhere to WellSky core values, ensure PHI data security, and adapt to changing BI technologies.
Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes.
Perform other job duties as assigned.

Requirements

What you’ll need

Bachelor’s degree or relevant work experience
4-6 years of relevant work experience
Strong SQL skills with hands-on experience developing and supporting data pipelines and data warehouse solutions
Experience with SQL Server data integration and ETL development (including SSIS or equivalent)
Experience with cloud-based data platforms and services, preferably within GCP environments
Experience with Snowflake data warehouse development and management (preferred)
Experience with DBT for ELT/ETL processes, data modeling, testing, and documentation (preferred)
GCP expertise, especially with Cloud SQL, BigQuery, and DataStream (preferred)
Experience with data replication tools such as HVR (or similar CDC/replication technologies) (preferred)
Experience supporting BI/reporting environments such as Tableau through well-modeled, performant datasets (preferred)
Healthcare industry experience (preferred)

Benefits

Comp & perks

Excellent medical with Rx, dental, and vision benefits
Mental Health support through EAP
Generous paid time off, plus 13 paid holidays
100% vested 401(K) retirement plans
Educational assistance up to $2500 per year

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata pipelinesdata modelsETLdata warehousedata visualizationdata processingdata qualitydata modelingdata replication

Soft Skills

problem-solvingcollaborationadaptabilityattention to detailcommunication