Data Engineer

Neighborhood-Family-Practice; Cleveland (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

Neighborhood-Family-Practice in Cleveland, OH seeks a Data Engineer to design, build, and maintain scalable data pipelines and secure data models across clinical, financial, and operational data sources.

The role emphasizes data quality, governance, and regulatory compliance, with collaboration across clinical and analytics teams to enable trusted reporting and analytics.

Qualifications

• Bachelor's degree in computer science, IT or equivalent; experience accepted.
• 3+ years in data engineering or similar role preferred.
• Strong SQL, data modeling, and data quality knowledge.

Responsibilities

• Design, develop, test, deploy, and maintain automated data pipelines across healthcare data sources.
• Build scalable data models, data warehouses, and curated datasets for reporting and analytics.
• Develop ETL/ELT processes for extraction, transformation, validation, and monitoring.
• Establish data-quality controls to detect missing, duplicates, or inaccurate information.
• Troubleshoot dataflow, interfaces, and reporting with clinical/operational teams.
• Collaborate with analysts and leaders to translate requirements into technical solutions.
• Document data dictionaries, mappings, and system workflows clearly.
• Apply HIPAA and security requirements across the data lifecycle.
• Monitor pipeline performance and reduce manual intervention.
• Educate staff on data definitions and downstream effects of documentation.

Skills

Advanced SQL

ETL pipelines

Python for data processing

Data warehouses & datasets

Data quality controls

Technical documentation

Education

Bachelor's degree in CS/IT or equivalent

Tools

Azure Data Factory

Power BI

Epic/OCHIN data sources

Job description

Position Overview: Describes the overall purpose of the position or why the position existsThe Data Engineer designs, develops, and maintains secure, scalable data infrastructure that integrates clinical, operational, financial, quality, and value-based care data. This role builds reliable data pipelines, establishes data-quality controls, and creates trusted datasets for reporting, analytics, regulatory requirements, and organizational decision-making. The Data Engineer collaborates with clinical, operational, technical, and analytics teams to improve data accessibility, interoperability, governance, and meaningful use across NFP.Essential Duties and Responsibilities: The following description is a general representation of the essential duties and responsibilities of the position.Design, develop, test, deploy, and maintain automated data pipelines across Epic’s financial, operational, quality, and partner data sources such as NetSuite, PayCom and Pioneer.Build and maintain scalable data models, data warehouses, and curated datasets supporting Power BI reporting and advanced analytics.Develop automated processes for data extraction, transformation, validation, reconciliation, and monitoring.Establish data-quality controls that identify missing, duplicate, inconsistent, or inaccurate information.Troubleshoot dataflow, interface, integration, and reporting issues in partnership with clinical, operational, and technical teams.Collaborate with data analysts and business leaders to translate reporting requirements into sustainable technical solutions.Maintain clear technical documentation, including data dictionaries, source-to-target mappings, business rules, pipeline dependencies, and system workflows.Apply HIPAA, privacy, information-security, and role-based access requirements throughout the data lifecycle.Monitor pipeline performance, investigate failures, and implement sustainable solutions that reduce manual intervention.Educate staff on data definitions, collection standards, system workflows, and the downstream effects of documentation practices.Participate in data governance, change management, testing, and validation for new systems and reporting initiatives.Other duties as assigned.The requirements listed below are representative of the knowledge, skills, abilities, experience, and education an individual must possess to be able to perform the essential duties and responsibilities successfully. Reasonable accommodation may be made to enable individuals with disabilities to perform these essential duties and responsibilities.Education, Licensure, Experience:Bachelor’s degree in computer science, Information Technology, or similar field strongly preferred. Equivalent experience in lieu of formal education accepted.3+ years experience in data engineering or similar role strongly preferred.Knowledge and Skills:Required:Advanced SQL skills, including query optimization and relational data modelingExperience building automated ETL or ELT pipelinesExperience using Python for data processing, validation, scripting, and automationExperience supporting data warehouses, reporting databases, or analytics platformsUnderstanding of data-quality controls, testing, reconciliation, and technical documentationKnowledge of healthcare, privacy and security requirementsPreferred:Experience with Microsoft Azure and Azure Data FactoryExperience developing semantic models or datasets for Microsoft Power BIExperience with Epic, OCHIN, or comparable electronic health record dataFamiliarity with healthcare interoperability standards and clinical terminologyExperience with payer, claims, quality-measure, UDS, population health, or value-based care dataExperience working in an FQHC, community health center, or ambulatory healthcare environmentEssential Physical Demands and Working Environment:Able to communicate effectively, both verbally and in writing, including through the use of electronic communication devices.Able to sit, stand, bend, and walk for extended periods of time. Occasional lifting of up to 30 lbs.Willing to travel locally between sites. Driver’s License and Automotive Insurance preferred.The physical demands and work environment described above represent those that an employee must meet to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform these functions.