Job Description

Job Description

Job Description

Position Title: Data Engineer

Department: Information Technology

Reports To: Director of Business Analytics and Customer Engagement

Job Type: Full-Time

Grade:10

This is a hybrid role that requires working on-site in the office 2-3 days per week to support effective team collaboration

Role Summary

We are seeking a Data Engineer to design, build, and maintain the data systems and pipelines that power our organization's analytics and operational capabilities. This role is responsible for architecting reliable, scalable, and secure data infrastructure that enables business intelligence, system integrations, and data-driven decision making across the enterprise.

This is a senior technical role focused on hands-on engineering and platform ownership, not people management.

What You’ll Do

Data Engineering & Pipeline Development

• Design, build, and maintain scalable data pipelines and integration workflows across enterprise systems
• Develop and support data movement processes using APIs, ODBC, SFTP, and similar integration patterns
• Build and optimize data models and structures for consistency, performance, and long-term maintainability
• Implement and support ELT/ETL processes using tools such as SSIS, Azure Data Factory, Snowflake, or similar platforms
• Ensure data structures are aligned to business needs and built for reuse and extensibility

Data Reliability, Integrity and Performance

• Ensure data is accurate, consistent, and protected across all systems and pipelines
• Monitor, troubleshoot, and resolve data quality issues and processing bottlenecks
• Document data flows, dependencies, lineage, and system structures
• Proactively surface risks related to data integrity, pipeline reliability, or data interpretation

Security & Compliance

• Ensure PHI and sensitive data are handled in accordance with security and compliance requirements
• Follow secure credential handling and environmental standards across all data platforms
• Support audit readiness through traceable, well-documented work and processes

Collaboration

• Partner with technical leadership to refine and advance data architectural patterns
• Work closely with application, infrastructure, analytics, and security teams to deliver integrated data solutions
• Help design data solutions that support new systems, reporting needs, and third-party integrations
• Participate in code and design reviews and incorporate feedback constructively
• Serve as a technical leader and go-to resource for the analytics team, providing mentorship, guidance, and quality review on analytical work produced by data analysts
• Help analysts grow their SQL, data modeling, and analytical reasoning skills through regular feedback and collaborative problem solving
• Provide technical guidance to less experienced team members without formal supervisory responsibility

Decision Making Scope

• Owns technical design decisions for data pipelines and integration patterns, ensuring alignment with architectural standards
• Acts as a technical anchor for the analytics team, helping set the bar for data quality, analytical rigor, and sound methodology
• Recommends improvements to tooling, modeling approaches, and data platform configurations
• Escalates architectural conflicts or data governance concerns when necessary
• Contributes to the evolution of data standards based on emerging business and technical needs

Required Qualifications

• 7+ years of hands-on experience in data engineering, data integration, or a closely related technical discipline
• Strong proficiency in SQL and relational data modeling
• Experience building and maintaining data pipelines and ELT/ETL workflows
• Experience with Azure data services, including Azure Data Factory and Azure SQL
• Experience with cloud data platforms such as Snowflake or comparable technologies
• Experience with data integration patterns including API, ODBC, and SFTP
• Proficiency in scripting and automation using Python, PowerShell, or similar languages
• Strong troubleshooting and problem-solving skills across complex, multi-system environments

Preferred Qualifications

• Experience administering and maintaining SQL Server or similar relational database platforms
• Knowledge of backup, recovery, and high availability strategies
• Experience with database performance tuning including query optimization and index management
• Experience writing and maintaining SSRS reports
• Familiarity with database patching, maintenance, and operational health monitoring
• Experience working in security-focused or regulated environments such as healthcare or behavioral health

WORKING CONDITIONS :

Work is usually performed in an office setting but requires the employee to drive to different sites throughout Wayne County and the State of Michigan.

This is a hybrid role that requires working on-site in the office 2-3 days per week to support effective team collaboration

This description is not intended to be a complete statement of job duties and responsibilities, rather to act as a general description of the essential functions performed. Management retains the discretion to add or change the position at any time.

Please Note: DWIHN requires proof of being fully vaccinated for COVID-19 as a condition of employment. Medical or religious accommodations or other exemptions that may be required by law, will be approved when properly supported. Further information will be provided during the recruitment process.

The Detroit Wayne Integrated Health Network is an Equal Opportunity Employer

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