Data Solutions Engineer

  • Posted 1 day ago | Updated 1 day ago

Overview

Remote
$100,000 - $120,000
Full Time

Skills

SQL Server/T-SQL
Power BI
Databricks
Azure Data Stack
Python
C#
R

Job Details

the primary goal is to replace the legacy reporting function with a modern, scalable Data Operations Team (initially focusing on these four roles) that can deliver faster, more automated, and insight-driven reporting aligned with the organization s evolving data needs. Specifically, these four new hires will:

  • Audit and rationalize 700+ legacy reports
  • Build baseline executive and operational dashboards
  • Introduce automation and standard templates to reduce manual report requests (currently over 200/month)
  • Lay the foundation for scalable BI infrastructure and cloud migration (e.g., Snowflake, AWS)
  • Transition ownership of reporting from a reactive, SQL-only team to a forward-looking, engineering-capable group

Over time, the new Data Operations Team will assume all reporting and dashboard responsibilities from the legacy report writers and visualization staff, who will be reassigned to other roles within the organization. This new team will:

  • Handle all day-to-day report generation, visualization development, and data request triage
  • Drive continuous improvement in data quality, performance, and consistency
  • Collaborate with leadership and data warehouse/architecture counterparts to evolve the company s BI and analytics maturity

Ultimately, this phased approach ensures the new Data Operations team has both the context and capacity to own and modernize the reporting function sustainably and strategically.

KEY SKILLS:

  • SQL Server/T-SQL foundational to the current data warehouse and essential for report development
  • Data Visualization/Dashboards -- Power BI is the primary tool for data visualization and dashboard creation; strong design and publishing experience expected. Tableau would also be considered.
  • ETL Development especially experience building and optimizing ETL pipelines (preferably using Databricks)
  • Databricks required for data processing and reporting pipeline development; expected to support future modernization
  • Azure Data Stack current environment includes Azure-based elements; familiarity is important as future direction may expand on Azure
  • Programming Languages:
  • Python, C#, R scripting, automation, or integration experience using these languages is highly valued
  • DAX, Power Query (M) for developing efficient Power BI reports and data transformations
  • Scalability -- Exposure to large data set processing (scalable data solutions, etc.)
  • Stakeholder Liaison -- History working with business stakeholders to define BI/DW solutions

NICE TO HAVE REQUIREMENTS:

  • Architectural Exposure to Data Modeling & Warehousing Concepts especially familiarity with performance optimization, schema design, and data integration strategies
  • Business Acumen ability to gather, interpret, and translate business needs into effective data solutions
  • Unit Testing & Version Control History of defining and working within disciplined development practices and CI/CD pipelines.
  • EHR Data Experience familiarity with data from healthcare systems (e.g., NextGen, myAvatar) is a plus, but not required
  • Mentoring/Training End Users New report usage, dashboards, and other tools.

Healthcare Domain Clinics, Hospitals, Behavioral Health

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About Marencor