Job Title:
Data Analytics Engineer
Location:
Hybrid On-Site 2 days/week in Denver, CO
Job Type:
Permanent/Direct-Hire
Pay:
Up to $110,000 - $125,000/year
Must-haves:
- 5+ years' experience
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or related field
- Proven experience in Data/Business Analysis
- SQL Proficiency (3+ years)
- Strong understanding of data modeling, ETL processes, and data warehousing concepts
- Must be comfortable and confident in project ownership rather than being assigned tasks to follow
- Excellent communication skills with a history of interfacing with executives and clients
- Strong organizational skills with a focus on clear documentation
Plusses:
- Snowflake
- Power BI or Tableau
- Experience with healthcare data, specifically claims data protected by HIPAA
- Knowledge of machine learning techniques and their application in data analytics
- Familiarity with version control systems (e.g., Git)
- Comfort working in an AGILE development environment
- Experience with Python programming
- DBT knowledge/expertise OR eagerness to learn & implement
Day-to-day:
A home care client is seeking a skilled Data Analytics Engineer to join their team in Denver, Colorado. This parent company has multiple subsidiaries, forming a vast network of home healthcare companies. Their shared services model offers a unique opportunity for career growth and development. The ideal candidate will possess a strong foundation in data and business analytics, with a knack for understanding diverse business needs and translating them, in addition to building robust data models.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to manage large volumes of structured and unstructured data
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into actionable technical solutions
- Build and optimize data models for efficient data storage, retrieval, and analysis
- Implement and manage data governance practices to ensure data quality, accuracy, and consistency across all sources
- Collaborate and help to develop and maintain dashboards, reports, and data visualizations that provide actionable insights to various leadership teams
- Standardize data from various operational systems (EHR, Finance, Marketing CRM, and other databases) into models for business scorecards and management dashboards