Senior Data Engineer - Population Health

TriHealth • Cincinnati, OH

6h

About The Position

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

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

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 (<1yr)
• Python Certification (<2yr)
• Epic Clarity Data Model Certification (<1yr)
• Python Certification (<2yr)
• Exposure to Relational Databases like SQL Server & Non-Relational Databases
• Experience with ETL/ELT, Data pipelines and/or Datasets & BI tools
• Experience with programming languages such as Python, C# etc
• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level