Sr. Engineer Data Engineering

Key Responsibilities:

Data Platform Support: Provide technical support (L2 & L3) and maintenance for our data platform, including data ingestion pipelines, data storage systems, and data processing workflows. Monitor system health, identify performance bottlenecks, and implement optimizations to ensure scalability and reliability. Expert with DW concepts, implementation using Snowflake and other MPP databases.

ML Ops Support: Support the end-to-end machine learning lifecycle, from model development to deployment and monitoring. Collaborate with data scientists and ML engineers to deploy machine learning models into production environments, manage model versions, and implement automated testing and monitoring solutions.

Incident Management: Respond to production incidents and service interruptions in a timely manner, troubleshoot root causes, and implement corrective actions to minimize downtime and ensure service availability as per defined SLA. Develop and maintain runbooks and documentation for incident response procedures.

Performance Monitoring and Optimization: Implement monitoring tools and metrics to track the performance and health of data and ML systems. Analyze system logs and metrics to proactively identify issues, optimize resource utilization, and improve overall system efficiency.

Automation and Tooling: Develop and maintain automation scripts and tools to streamline routine tasks, such as data ingestion, ETL processes, model deployment, and monitoring. Implement CI/CD pipelines for deploying code changes and model updates with minimal downtime.

Cross-Functional Collaboration: Work closely with data engineering, data science, software engineering, and DevOps teams to ensure seamless integration of data and ML solutions into our production environment. Participate in agile ceremonies and collaborate on cross-functional projects to deliver high-quality solutions.

Qualifications:

Bachelor's or Master's degree in computer science, engineering, or a related field.
Strong understanding of data management principles, including data modeling, data warehousing, and ETL processes. Work experience around Snowflake, DBT, Azure data services is preferred. 
Experience with cloud platforms such as AWS (Amazon Web Services) or Azure, and proficiency in SQL and scripting languages such as Python or Shell scripting.
Familiarity with ML Ops tools and frameworks, such as MLflow.
Hands-on experience with containerization technologies (Docker, Kubernetes) and infrastructure-as-code tools (Terraform, Ansible) is a plus.
Excellent troubleshooting and problem-solving skills, with the ability to quickly diagnose and resolve complex technical issues.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team environment.
Experience in healthcare or fintech industries is preferred, with knowledge of industry regulations and compliance requirements.

Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Commitment to Diversity, Equity, Inclusion, and Belonging 
At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.

Accessibility Support 

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email [email protected].

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