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AI Summary

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.

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 *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

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