Job Description

Role : Senior Data Engineer

Client : Midwest Healthcare Provider

Contract Length: 6 month Contract to hire

Location : Remote

Job Summary:

Reports to the Manager, Business Intelligence, the Lead Data Engineer delivers enterprise-level insights and supports data-driven decision making at Our Client. This role leads the development, maintenance, and enhancement of the business intelligence platform, providing technical guidance, mentoring team members, and ensuring the integrity and usability of organizational data. The Lead Data Engineer collaborates with cross-functional teams—including Clinical, Finance, and IT—to integrate data, develop analytics solutions, and drive informed decision-making across the enterprise.

Responsibilities:

• Lead the design, development, and maintenance of the system-wide data analytics platform and ETL processes for new and existing data sources.
• Ensure ongoing accuracy and reliability of ETL feeds by monitoring source systems and implementing data validation processes.
• Serve as a subject matter expert on data sources, structures, and definitions; create and maintain source-of-truth tables and appropriate linkages across the enterprise data warehouse (EDW).
• Implement standard practices and nomenclature within the EDW to ensure data governance, transparency, and usability.
• Collaborate with Business Intelligence, Clinical, Finance, and Information Systems teams to optimize data usage, reporting, and analytics solutions.
• Develop, automate, and maintain dashboards, reports, and ad-hoc analyses to support operational, clinical, and financial decision-making.
• Lead projects using project management best practices, documenting requirements, integration processes, and data flows for platform enhancements.
• Mentor, coach, and provide technical guidance to junior data engineers and team members.
• Promote a culture of data-driven decision-making across the organization through innovative analytics, visualization, and data science approaches.
• Maintain confidentiality and compliance with all regulatory, organizational, and departmental standards.

Education & Experience:

• Bachelor’s degree in Business, Data Analytics, Engineering, Information Systems, Informatics, or a related field (or equivalent experience).
• Experience in application support, data management, programming, or database management; healthcare experience preferred.
• Proven experience leading data platform projects, designing ETL processes, and integrating data from multiple sources into warehouse technologies.

Technical Skills:

• Expertise in relational databases, ETL development, and data modeling.
• Experience with SQL, CCL, VBA, or other relevant programming languages.
• Hands-on experience with business intelligence and database platforms (e.g., Dimensional Insight Diver, SQL Server, Oracle).
• Knowledge of healthcare systems, including EMRs, claims, survey data, and healthcare revenue cycle operations.
• Familiarity with data visualization and analytics tools to support reporting and decision-making.

Soft Skills & Competencies:

• Strong analytical and problem-solving skills with attention to detail, accuracy, and timeliness.
• Ability to communicate technical information effectively to leadership and cross-functional teams.
• Proven leadership and mentoring abilities with experience guiding junior team members.
• Strong organizational, prioritization, and project management skills.
• Commitment to fostering a data-driven culture and promoting innovation, accountability, and clear communication.

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