Job Description

Job Overview:

The senior data engineer will play a pivotal role in building, managing and optimizing data pipelines and/or datasets and ETL/ELT processes over their life cycles by working closely with a multidisciplinary Agile team. As a Senior Data Engineer you will assemble large, highly complex 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

This work from home role requires the team member to live in or in an area surrounding Greater Cincinnati, Ohio

1.Create and maintain optimal data pipeline architecture with a current understanding of emerging technologies aligned to business needs

2. Syncing data between various systems to ensure consistency, integrity, and reliable insights gathering from multiple tools

3. Strong close relationship with data science teams and with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements

4. Provide technical leadership for a team of engineers to create products by removing roadblocks to development through collaboration, communication, and creative solution recommendations

5. Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

6. Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

7. Certification Requirements - Epic Clarity data model certification expected within 1 year of hire date & Python certification using internal training tools within 2 year of hire date as well as maintaining your continued education credits

Job Requirements:

Bachelor's Degree in Information Systems Computer Science, Statistics, Healthcare Information Management, Engineering or a related field

Equivalent relevant experience accepted in lieu of degree

Epic Clarity Data Model Certification (
Python Certification (
Epic Clarity Data Model Certification (
Python Certification (
1.Exposure to Relational Databases like SQL Server & Non-Relational Databases

2. Experience with ETL/ELT, Data pipelines and/or Datasets & BI tools

3. Experience with programming languages such as Python, C# etc

4. Exposure to Agile methods

4-5 years Technical Information Systems Computer Science, Statistics, Healthcare Information Management, Engineering or a related field

Up to 1 year Clinical Healthcare

Job Responsibilities:

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. Facilitate business requirements discussions with a diverse community of users including clinicians, clinical researchers, and administrators to assist with various data and analytics initiatives. Measured by participation rate, customer service surveys.
Adhere 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 a Senior Data Engineer. Provide inputs in creating training plans for team members. Measured by certifications, contribution to the Analytics Center of Excellence, and completed bright idea submissions.
Design, build & test optimal queries and/or data pipelines and/or datasets for data and analytics consumers - aligned to business needs using emerging technologies aligned to business needs. Syncing data between various systems to ensure consistency, integrity, and reliable insights gathering from multiple tools when needed. 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 senior data engineer, and feedback from the analytics team, and customers.

Other Job-Related Information:

Working Conditions:

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