Data Engineer

CJE SeniorLife is hiring a Data Engineer to build and maintain data pipelines, data models, dashboards, and reports supporting its data lake, enterprise data warehouse, and AI tools. The role also supports data quality, platform operations, governance, and troubleshooting in partnership with senior technology staff.

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, following designs and standards set by the Senior Systems Developer
• Supports day-to-day operation of the Microsoft Fabric data platform, including the data warehouse and data lake, after handover from the implementation partner: monitors pipeline runs and data refreshes, resolves routine issues, and escalates platform problems, under the direction of the Senior Systems Developer
• Develops and maintains data models that support reporting, analytics, and downstream application needs, with design review by the Senior Systems Developer
• Implements and monitors data quality checks, and flags data quality issues to data stewards and application owners for resolution
• Assists with grounding and evaluation of AI tools by preparing and validating the data sources they draw on, helping ensure that data is accurate, current, and well-governed
• Builds and maintains dashboards and scheduled reports used by business stakeholders
• Documents data models, pipeline logic, and data lineage to support stewardship and troubleshooting
• Partners with the Senior Systems Developer and Systems Developer to ensure application changes are reflected accurately in downstream data and reporting
• Follows data governance, privacy, and HIPAA requirements in the handling of data pipelines, models, and reports
• Researches data integration, transformation, and reporting tools and contributes findings to recommendations made by the Senior Systems Developer and Applications & Data Lead
• Troubleshoots pipeline and reporting issues, escalating complex problems to the Senior Systems Developer
• Participates in code review, incorporates feedback, and builds technical skills through mentoring and training

Skills

• Working knowledge of SQL and relational databases is required
• Bachelor's degree in computer science, information systems, data analytics, or a related field preferred; an equivalent combination of education and experience will be considered
• 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
• Exposure to data pipelines or ETL/ELT processes, and to a modern BI/reporting platform (e.g., Power BI), through work, internships, or coursework is preferred
• Exposure to data warehouse and data lake concepts (e.g., Microsoft Fabric, OneLake, lakehouse architecture) preferred
• Experience in a healthcare or human services environment is a plus

Benefits

• For eligible full-time employees: Medical, dental, and vision insurance
• For eligible full-time employees: Paid vacation and sick time
• For eligible full-time employees: Employer-provided life insurance, with optional spouse and dependent coverage
• For eligible full-time employees: Short-term and long-term disability insurance
• For eligible full-time employees: Retirement plan
• For eligible full-time employees: Employee assistance program
• For eligible full-time employees: Employee purchase and health club discounts
• For eligible full-time employees: Ongoing training and professional development
• Hybrid with 2 days on site; in-person and remote work options. Remote work, if offered, is a privilege subject to agency policy, operational needs, and satisfactory job performance.

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