Senior Data Engineer

Zotec Partners•Carmel, IN

43d

About The Position

At Zotec Partners, our People make it happen. Transforming the healthcare industry isn’t easy. But when you build a team like the one we have, that goal can become a reality. Our accomplishments can’t happen without our extraordinary people – the men and women across the country who make up our diverse Zotec family and help make this company a best place to work. Over 25 years ago, we started Zotec with a clear vision, to partner with physicians to simplify the business of healthcare. Today we are more than 900 employees strong and we continue to use our incredible talent and energy to bring that vision to life. We are a team of Innovators, Collaborators and Doers. We’re seeking a Senior Data Engineer to join us. As a Senior Data Engineer, you will design, implement, and maintain scalable data pipelines and infrastructure that power Zotec’s proprietary technology products, enabling the organization to make data-driven decisions.

Requirements

4+ years of experience in Data Engineering, Cloud Engineering, or related technical roles
Bachelor’s degree in Computer Science, Information Systems, or related technical field; Master’s degree is a plus
Strong experience with Python for building data pipelines and automation
Hands-on experience with AWS services: Glue, Lambda, Step Functions, S3, Redshift, and data lakes
Solid SQL skills and experience writing, optimizing, and troubleshooting complex queries in Redshift or other data warehouses
Experience with large-scale ETL/ELT design, implementation, and optimization
Knowledge of data modeling, schema design, and performance tuning
Familiarity with workflow orchestration, version control, CI/CD pipelines, and DevOps practices
Experience with data governance, lineage, and data security best practices
Ability to communicate complex technical concepts to non-technical stakeholders

Nice To Haves

Revenue Cycle, Healthcare, and/or Health Insurance industry experience is beneficial

Responsibilities

Collaborate with a diverse team of product owners, data scientists, ML engineers, and software engineers to design and implement robust data pipelines and architectures
Build, manage, and optimize ETL/ELT processes using AWS Glue, Lambda, Step Functions, and other cloud-native services
Develop and maintain Redshift data warehouses, data lakes, and other cloud-based storage solutions to ensure high availability and performance
Ensure data quality, consistency, and reliability across all data systems
Work with structured and unstructured datasets, transforming and preparing them for analytics, machine learning, and reporting
Design monitoring, alerting, and operational dashboards to ensure smooth functioning of pipelines and workloads
Provide technical leadership on best practices for data engineering, data modeling, and data governance
Optimize existing pipelines for performance, cost, and scalability
Participate in technical reviews, daily scrums, and knowledge sharing
Mentor junior engineers and contribute to team growth and technical excellence