Data Engineer

About CJE SeniorLife

CJE SeniorLife is a leading provider of services for older adults, dedicated to enhancing quality of life through compassionate care, innovation, and community engagement.

About the Role

This is a full-time, salaried, exempt position with a compensation of $50k per year. The work arrangement is hybrid, requiring 2 days on-site at Horwich, 3003 W. Touhy Ave., Chicago, IL 60645. Occasional travel amongst local company locations is required.

Key Responsibilities

• Builds and maintains data pipelines that integrate data from business applications (EMR, payroll/HR, Salesforce, and other line-of-business systems) into CJE’s data lake and enterprise data warehouse.
• Supports day-to-day operation of the Microsoft Fabric data platform, including the data warehouse and data lake.
• Monitors pipeline runs and data refreshes, resolves routine issues, and escalates platform problems.
• Develops and maintains data models that support reporting, analytics, and downstream application needs.
• Implements and monitors data quality checks, and flags data quality issues to data stewards and application owners.
• Assists with grounding and evaluation of AI tools by preparing and validating data sources.
• Builds and maintains dashboards and scheduled reports.
• Documents data models, pipeline logic, and data lineage.
• Partners to ensure application changes are reflected accurately in downstream data and reporting.
• Follows data governance, privacy, and HIPAA requirements.
• Researches data integration, transformation, and reporting tools.
• Troubleshoots pipeline and reporting issues, escalating complex problems.
• Participates in code review, incorporates feedback, and builds technical skills through mentoring and training.

Requirements & Tech Stack

• Working knowledge of SQL and relational databases is required.
• Exposure to data pipelines or ETL/ELT processes.
• Exposure to a modern BI/reporting platform (e.g., Power BI).
• Exposure to data warehouse and data lake concepts (e.g., Microsoft Fabric, OneLake, lakehouse architecture).

Qualifications

• 0–2 years of related experience in data engineering, business intelligence, database development, or analytics. Internships, co-ops, and substantial academic or project work will be considered.
• Bachelor’s degree in computer science, information systems, data analytics, or a related field is preferred; an equivalent combination of education and experience will be considered.
• Experience in a healthcare or human services environment is a plus.

Benefits and Support for Eligible Full-Time Employees

• Medical, dental, and vision insurance
• Competitive pay
• Paid vacation and sick time
• Employer-provided life insurance, with optional spouse and dependent coverage
• Short-term and long-term disability insurance
• Retirement plan
• Employee assistance program
• Employee purchase and health club discounts
• Ongoing training and professional development