Associate Data Engineer

TriHealthTriHealthCincinnati, Ohio, United States
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Posted

9/14/2026

Employment

Full time

Range

Check website

Work style

Remote OK

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AI summary

Core responsibilities

The Associate Data Engineer builds and maintains data pipelines and datasets while collaborating with a multidisciplinary agile team. They ensure data quality and adherence to standard operating procedures for analytics deliverables.

Requirements overview

A bachelor's degree in a related field is preferred, along with up to one year of experience in technical information systems. Candidates should have exposure to SQL and non-relational databases, with Epic Clarity certification required within one year.

Key skills

Data engineeringSQLData pipelinesData modelingPythonRelational databasesNon-relational databasesAgile methodologyData qualityProblem solvingTechnical documentation

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Education requirements

bachelor degree

About TriHealth

Industry

Hospitals and Health Care

Employees

7,197

Type

Nonprofit

Size

10,001+ employees

The mission of TriHealth is to improve the health status of the people we serve. We pursue our mission by providing a full range of health-related services, including prevention, wellness, education and social programs. Through our acute care hospitals, Good Samaritan Hospital, Bethesda North Hospital, Bethesda Butler Hospital, McCullough-Hyde Memorial Hospital, Good Samaritan Hospital at Evendale and Clinton Regional Hospital in Wilmington, as well as over 140 other TriHealth locations, we are accessible for all in our Cincinnati community. TriHealth is here for you in all phases of your healthcare journey. Our approximately 12,000 team members, 2,000 physicians and 1,600 volunteers are dedicated to delivering personalized, compassionate care to you and your family.

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Job categories

Data & AnalyticsTechnologyHealthcareSoftwareEngineering

Description

At TriHealth, our corporate team thrives on a service-oriented mindset grounded in inclusivity, innovation, and collaboration. We cultivate a supportive culture where every team member is valued, empowered, and given a true sense of belonging. When you join us, you become part of a community that invests in your personal well-being and your professional future. You’ll experience meaningful growth and development opportunities, excellent benefits, and a workplace where people actively support one another and share best practices every day. Here, your contributions matter—and together, we make a lasting impact. Location: Work from home role that requries team member to reside within a 2-3 hour commute radius of Greater Cincinnati.    Schedule: Day Shift    Benefits: https://careers.trihealth.com/what-we-offer/benefits [https://careers.trihealth.com/what-we-offer/benefits] *Please note: OPTIONAL positions are not eligible for TriHealth benefits*     We offer competitive shift differentials where applicable, opportunities for professional growth, and a comprehensive benefits package that may include medical, dental, vision, paid time off, retirement savings plans, and tuition reimbursement.   Job Overview: The Associate Data Engineer will participate in building data pipelines and/or datasets over their life cycles by working closely with a multidisciplinary agile team. As an Associate Data Engineer, you will assemble basic datasets that meet functional/non-functional business requirements for key stakeholders to ensure the enterprise has seamless access to actionable, meaningful, and well-governed data across all domains: 1. Create data pipelines and/or datasets architecture with a current understanding of technologies aligned to business needs. 2. Perform problem solving, formulation, testing, analysis on data. Design queries using structure query language. 3. Adhere to standard operating procedures & coding standards set by the analytics department. 4. Participate and implement components of data analytics deliverables. Job Requirements: Bachelor's Degree in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering or related field (Preferred) Up to 1 year Technical Information Systems (Required)  Up to 1 year Clinical experience in Healthcare (Preferred) Exposure to Relational Databases like SQL Server & Non-Relational Databases Other Epic Clarity Data Model Certification within 1 Year Required  Other Python Certification Preferred  Other Oracle Fusion Certification Preferred Job Responsibilities: Designs, builds & tests basic queries and/or data pipelines and/or datasets for data and analytics consumers - aligned to business needs using current understanding of technologies. Measured by the number of certified data sets delivered on time meeting data quality and orchestration SLA's. Measurements will be reviewed on a regular basis by the manager supplemented by input from the associate data engineer, and feedback from the analytics team, and customers.  Adheres to standard operating procedures & coding standards set by the department including code check-in, documentation/extended properties. Measured by dataset compliance to SOP (Standard Operating Procedures), design, development, testing, deployment standards.  Obtains & maintains training & certifications listed in the job description and/or set by the Analytics Center of Excellence for an Associate Data Engineer. Measured by certifications, contribution to the Analytics Center of Excellence, and completed bright idea submissions.  Actively contributes and participates in discussions during team meetings, design & planning sessions, huddles, and roundings. Communications with customers, team members are required to be professional, timely, inclusive, considerate, and respectful. Measured by participation rate, customer service surveys. Working Conditions: Bending - Rarely  Climbing - Rarely  Concentrating - Frequently  Continuous Learning - Frequently  Hearing: Conversation - Frequently  Hearing: Other Sounds - Occasionally  Interpersonal Communication - Frequently  Kneeling - Rarely  Lifting <10 Lbs. - Rarely  Lifting 50+ Lbs. - Rarely  Lifting <50 Lbs. - Rarely  Pulling - Rarely  Pushing - Rarely  Reaching - Rarely  Reading - Frequently  Sitting - Consistently  Standing - Rarely  Stooping - Rarely  Talking - Frequently  Thinking/Reasoning - Frequently  Use of Hands - Consistently  Color Vision - Frequently  Visual Acuity: Far - Rarely  Visual Acuity: Near - Consistently  Walking - Rarely TriHealth SERVE Standards and ALWAYS Behaviors At TriHealth, we believe there is no responsibility more important than to SERVE our patients, our communities, and our fellow team members. To achieve our vision and mission, ALL TriHealth team members are expected to demonstrate and live the following: Serve: ALWAYS...  • Welcome everyone by making eye contact, greeting with a smile, and saying "hello"  • Acknowledge when patients/guests are lost and escort them to their destination or find someone who can assist  • Refrain from using cell phones for personal reasons in public spaces or patient care areas Excel: ALWAYS...  • Recognize and take personal responsibility to address and recover from service breakdowns when a customer's expectations have not been met  • Offer patients and guests priority when waiting (lines, elevators)  • Work on improving quality, safety, and service Respect: ALWAYS...  • Respect cultural and spiritual differences and honor individual preferences.  • Respect everyone's opinion and contribution, regardless of title/role.  • Speak positively about my team members and other departments in front of patients and guests. Value: ALWAYS...  • Value the time of others by striving to be on time, prepared and actively participating.  • Pick up trash, ensuring the physical environment is clean and safe.  • Be a good steward of our resources, using supplies and equipment efficiently and effectively, and will look for ways to avoid waste. Engage: ALWAYS...  • Acknowledge wins and frequently thank team members and others for contributions.  • Show courtesy and compassion with customers, team members and the community

Requirements

  • Data engineering
  • SQL
  • Data pipelines
  • Data modeling
  • Python
  • Relational databases
  • Non-relational databases
  • Agile methodology
  • Data quality
  • Problem solving
  • Technical documentation

Benefits

  • Medical
  • Dental
  • Vision
  • Paid time off
  • Retirement savings plans
  • Tuition reimbursement

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