Data Engineer II

Cincinnati Children's

. Design, build, test, and manage simple to moderately complex data pipelines from acquisition through integration to production consumption .

Posted 10/8/2026full-timeRemote • United StatesJuniorMid-Level💰 $94,037 - $120,078 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data pipeline design, ETL process management, and data governance compliance, while effectively collaborating with cross-functional teams to deliver scalable data solutions. Proficient in SQL and data management architectures, with a strong focus on analytics and process improvement.

Highest-signal resume keywords

Data Pipeline DesignETL Process ManagementSQL ProficiencyData ModellingDevOps Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingData WarehousingData LakeData HubSQLObject-Oriented ScriptingData ExtractionData AnalysisData GovernanceData Security

Soft Skills

CollaborationCommunicationCustomer SupportProblem ResolutionChange Management

Tools & Technologies

Project Management ToolsAnalytics ToolsService Level Agreements

Certifications & Qualifications

Epic Certifications

Industry Keywords

CCHMCClinical ProcessesBusiness ProcessesResearch ProcessesData Management Practices

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Design, build, test, and manage simple to moderately complex data pipelines from acquisition through integration to production consumption
Ensure compliance with data governance and data security requirements
Partner with platform engineers and database administrators
Develop and manage ETL processes and support upgrade and testing initiatives
Pursue data extraction and analysis options from the Epic source system for research, regulatory, and collaborative initiatives
Develop solutions for benchmarking, process improvement, and analytics requirements
Develop data models supporting CCHMC strategies
Collaborate with customers and report/analytics development groups to ensure scalable and efficient solutions
Document data models and extraction processes
Automate repeatable data preparation and integration tasks
Refine reports, database structures, and extraction techniques using best practices
Work with vendors to support and enhance CCHMC investments and requests
Provide end-user support and monitor Service Level Agreements for incident management
Promote change management policies and procedures
Provide timely customer follow-up and escalate support issues
Collaborate with data science teams, business analysts, and organizational stakeholders
Provide second-level incident and problem resolution
Maintain and refine support documentation
Take 24-hour call on a staff rotation
Execute project tasks with urgency and quality
Communicate project status using departmental project management tools
Participate in project meetings and stand-ups
Serve as technical lead for moderately complex projects
Lead project meetings and workgroups

Requirements

What you’ll need

Bachelor's degree in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
2+ years of work experience in a related job discipline
Proficiency in one or more data management practices and architectures, such as data modelling, data warehousing, data lake, or data hub
Foundational understanding of other data management practices and architectures
Proficiency with SQL
Proficiency with object-oriented/object function scripting
Proficiency with DevOps principles
Understanding of CCHMC clinical, business, and research processes
Obtain Epic certifications as appropriate/needed
Ability to take 24-hour call on a staff rotation
Preferred: experience working in cross-functional teams and collaborating with business stakeholders in support of departmental and/or multi-departmental data management and analytics initiatives

Benefits

Comp & perks

Additional pay may apply, including shift, on-call, or weekend differentials
Benefits may apply
Continuing education opportunities
Regular full-time employment
40 weekly hours
Support for responsible use of artificial intelligence and innovation