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About this Senior Data Engineer role at ChenMed

ChenMed · Onsite · Corporate Office

We’re unique.  You should be, too.

We’re changing lives every day.  For both our patients and our team members. Are you innovative and entrepreneurial minded? Is your work ethic and ambition off the charts?  Do you inspire others with your kindness and joy?

We’re different than most primary care providers. We’re rapidly expanding and we need great people to join our team.

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake and other modern data technologies to transform raw data into actionable insights, automated reports, and interactive dashboards. The ideal candidate will work closely with business units and technical teams to drive data-driven decision-making across the organization.



ESSENTIAL JOB DUTIES/RESPONSIBILITIES:


  • Design, develop, and optimize data pipelines using Snowflake, focusing on efficient ETL (Extract Transform Load)/ELT (Extract Load, Transform) processes and adhering to data warehouse best practices
  • Implement and manage scalable data models and transformations using tools like dbt (Data Build tool) in conjunction with Snowflake
  • Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
  • Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
  • Collaborate with data architects, DBAs, and other stakeholders to ensure data solutions are reliable, scalable, and maintainable
  • Proactively identify and resolve data quality issues, improving data integrity across systems
  • Document data processes, architectures, and code to ensure knowledge transfer and maintainability
  • Mentor junior team members and provide technical guidance on Snowflake best practices
  • Performs other duties as assigned and modified at manager’s discretion.

KNOWLEDGE, SKILLS AND ABILITIES:


  • Advanced-level business acuity
  • In-depth knowledge and understanding of general/core job-related functions, practices, processes, procedures, techniques and methods
  • Extensive experience with Snowflake, including data modeling, performance tuning, and security features
  • Strong proficiency in SQL and experience with Python or other programming languages
  • Expertise in data warehouse concepts and modern data architectures
  • Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools
  • Familiarity with BI tools compatible with Snowflake (e.g., Tableau, Power BI, or Looker)
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
  • Advanced skill in Microsoft Office Suite products including Excel, Word, PowerPoint and Outlook; competent in other systems required for the position
  • Ability and willingness to travel locally, regionally and/or nationally up to 10% of the time; flexible to work evening, weekends and/or holidays as needed
  • Spoken and written fluency in English
  • This job requires use and exercise of independent judgment

EDUCATION AND EXPERIENCE CRITERIA:


  • BA/BS degree in Computer Science, Data Engineering, or related field; Master’s degree preferred OR additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
  • A minimum of 5 years’ work experience in data engineering or related roles required
  • Experience with real-time data streaming and processing
  • Knowledge of machine learning concepts and their data requirements
  • Familiarity with data governance and security best practices
  • Experience in the healthcare or finance industry

PAY RANGE:

$99,369 - $141,957 Salary

The posted pay range represents the base hourly rate or base annual full-time salary for this position. Final compensation will depend on a variety of factors including but not limited to experience, education, geographic location, and other relevant factors. This position may also be eligible for a bonuses or commissions.

EMPLOYEE BENEFITS

https://chenmed.makeityoursource.com/helpful-documents

We’re ChenMed and we’re transforming healthcare for seniors and changing America’s healthcare for the better.  Family-owned and physician-led, our unique approach allows us to improve the health and well-being of the populations we serve. We’re growing rapidly as we seek to rescue more and more seniors from inadequate health care. 

ChenMed is changing lives for the people we serve and the people we hire.  With great compensation, comprehensive benefits, career development and advancement opportunities and so much more, our employees enjoy great work-life balance and opportunities to grow.  Join our team who make a difference in people’s lives every single day.

Current employees, if you want to apply to our internal career site, please click HERE

Current Contingent Worker please see job aid HERE to apply

#LI-Onsite
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How this Data Engineer salary compares

This role pays $120,663/yr — below the typical range for Data Engineer roles.

$98,363 median $159,125 $242,500

Typical range $126,750–$197,000/yr, from 1,672 comparable Data Engineer listings on JobsRadar (pay annualized to USD). See Data Engineer salary insights →

About ChenMed

Who We Are ChenMed is a family-owned, family-oriented organization committed to bringing superior health care to moderate-to-low-income seniors. Our vision To positively change American healthcare through primary care innovation for the neediest populations. Our mission To provide a convenient, patient-centered environment that fosters enduring relationships between doctors, staff and patients and delivers superior outcomes and a compassionate experience. We will create a healthcare system specifically for our patients' needs through dedicated doctors, a supportive team, and customized technology, and achieve value through scalable innovation, resourcefulness andaccountability. Our patient p

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