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