Senior Data Engineer

Adecco; Town of Texas (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Adecco is seeking a Senior Data Engineer to join a healthcare organization and advance data infrastructure, ETL pipelines, and BI reporting.

The role focuses on supporting EHR and Practice Management systems, claims scrubbing, and data optimization to improve revenue cycle performance.

Qualifications

• Bachelor's degree in IT, CS, or Data Engineering or equivalent experience.
• Minimum 5 years of progressively responsible experience developing datasets.
• Minimum 7 years of end-to-end experience from requirements to delivery within release cycles.
• Strong experience with Microsoft SQL Server, SQL/relational databases, data warehouses, BI/reporting.
• Experience implementing an EHR system or large-scale enterprise system in healthcare.
• Experience with healthcare claims processing and EDI.

Responsibilities

• Design, develop, and maintain scalable data pipelines and datasets across multiple databases and systems.
• ETL data into clean, standardized formats aligned with business requirements.
• Design analytical data models and data structures used by BI analysts for reporting.
• Build, deploy, and maintain BI reports and reporting solutions.
• Work with SQL Server, relational databases, and data warehouses.
• Manage multiple projects from requirements through release and QA/UAT.

Skills

SQL

Database

ETL/data pipeline

Data warehousing

BI expertise

EHR systems

Practice Management (PM) systems

EDI

Claims data

Education

Bachelor's degree in Information Technology, Computer Science, Data Engineering

Tools

Microsoft SQL Server

NextGen EHR

NextGen Practice Management

EDI software

Job description

Senior Data Engineer – Healthcare Data & Business Intelligence

Employment Type: Full-Time | Exempt

Reports To: Data Engineering Manager

Safety Sensitive: No

Position Overview

We are seeking an experienced Senior Data Engineer to join a growing healthcare organization and play a critical role in developing, optimizing, and maintaining the data infrastructure that supports organizational operations and strategic decision-making.

This position is ideal for a senior-level data professional who combines strong SQL, database, ETL/data pipeline, data warehousing, and Business Intelligence expertise with hands-on experience supporting EHR and Practice Management (PM) systems within a healthcare environment.

The Senior Data Engineer will design and maintain data pipelines, analytical data models, and BI reporting solutions while partnering with technical and operational teams to turn complex business requirements into reliable, actionable data. A key component of the position will also include claims scrubbing, EDI, and data optimization to improve claims accuracy, processing efficiency, and reimbursement.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, data flows, and datasets across multiple databases and systems.
• Extract, transform, and load (ETL) data into clean, standardized formats aligned with business requirements.
• Design and implement analytical data models and data structures used by BI analysts for reporting and analysis.
• Design, build, deploy, and maintain Business Intelligence reports and reporting solutions.
• Work extensively with Microsoft SQL Server, relational databases, and data warehouses.
• Assume database administration (DBA) responsibilities as needed and partner with system administrators to maintain databases and database servers.
• Monitor data systems, troubleshoot issues, and ensure the accuracy, integrity, security, and reliability of organizational data.
• Partner with EHR application users and cross-functional stakeholders to identify reporting requirements and develop effective technical solutions.
• Analyze data for anomalies, accuracy, trends, and applicability to business requests.
• Develop a thorough understanding of business processes and translate operational needs into effective data solutions.
• Identify opportunities to improve workflows, processes, and organizational strategies through technology and automation.
• Manage multiple concurrent projects from requirements gathering through design, development, QA/UAT, implementation, and release.
• Support change-control processes and follow established quality assurance and documentation standards.
• Assist with the training, mentoring, and professional development of other team members.

A key focus of this role will be supporting the organization's revenue cycle and claims processes through accurate, optimized data.

Responsibilities include:

• Develop and implement claims-scrubbing processes to improve accuracy and compliance with payer requirements.
• Monitor and analyze claims data to identify errors, trends, recurring issues, and opportunities for improvement.
• Partner with billing and coding teams to improve data quality and streamline claims workflows.
• Apply knowledge of claims processing and Electronic Data Interchange (EDI) to improve data flow and reimbursement processes.
• Identify opportunities to reduce claim errors and improve overall revenue cycle efficiency.

Required Experience & Qualifications

• Bachelor's degree in Information Technology, Computer Science, Data Engineering, or a related field preferred. Relevant professional experience may be considered in lieu of a degree.
• Minimum 5 years of progressively responsible experience developing datasets.
• Minimum 7 years of experience working through requirements, design, development, QA/UAT testing, implementation, and delivery within release cycles.
• Strong experience with:
• Microsoft SQL Server
• SQL and relational databases
• Data warehouses
• Business Intelligence and reporting
• Analytical data modeling
• Database management and optimization
• Experience implementing an EHR system or another large-scale enterprise system is required.
• Professional IT experience working with EHR and Practice Management systems within a medical, healthcare, hospital, or behavioral health organization.
• Knowledge of healthcare claims processing and EDI.
• Experience with NextGen EHR and NextGen Practice Management is highly desirable.
• Demonstrated experience gathering requirements and translating business needs into technical solutions.
• Experience successfully planning and leading strategic initiatives within established timelines and budgets.
• Excellent written and verbal communication skills.

What We're Looking For

The successful candidate will be both technically strong and highly collaborative. You should be comfortable working directly with technical teams, business leaders, clinical stakeholders, billing teams, and end users to understand complex problems and develop practical data-driven solutions.

You should bring:

• Excellent data analysis and problem-solving skills.
• Ability to analyze complex information and communicate findings clearly to technical and non-technical audiences.
• Strong understanding of healthcare operations and data.
• Ability to manage multiple priorities and projects with minimal supervision.
• Strong attention to data accuracy, quality, security, and compliance.
• Ability to identify opportunities for process improvement and develop innovative solutions.
• Strong stakeholder management and relationship-building skills.
• Sound judgment, accountability, and a commitment to meeting deadlines and productivity standards.
• Ability to adapt to changing priorities and evolving organizational needs.
• A collaborative approach and willingness to mentor and support other team members.

Why Join Us?

This is an opportunity to take on a highly impactful Senior Data Engineer position where your work will directly influence healthcare operations, business intelligence, revenue cycle performance, and organizational decision-making.

If you have a strong background in healthcare data engineering, SQL Server, ETL, data warehousing, BI reporting, EHR/PM systems, claims data, and EDI, we would like to hear from you.