Manager – Data Reliability Engineering
| Company | Centene |
|---|---|
| Location | New Mexico, USA, Pennsylvania, USA, Iowa, USA, Texas, USA, Florida, USA, South Carolina, USA, Georgia, USA, Mississippi, USA, Tennessee, USA, Minnesota, USA, Utah, USA, Northeastern United States, USA, Wisconsin, USA, North Carolina, USA, Oklahoma, USA, Missouri, USA, Ohio, USA, Michigan, USA, Illinois, USA, United States |
| Salary | $100900 – $186800 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree
- 5+ years of related experience
- Experience with Data Observability & Monitoring Tools
- Expertise in Data Reliability & Anomaly Detection using AI-driven alerting models
- ETL
- SQL
- Data Quality Frameworks
- AWS
- Data Lineage & Traceability Solutions
Responsibilities
- Manages data reliability and observability frameworks to ensure data trustworthiness, operational excellence, and system performance
- Leads a team of engineers responsible for proactive monitoring, anomaly detection, root cause analysis, and real-time alerting
- Supports the development of observability processes, expands technology roadmaps, plans features, measures reliability outputs, and ensures high-quality data products
- Partners with data engineering, platform, and governance teams to drive data health and reliability strategies
- Designs and develops a scalable Data Observability Framework to ensure pipeline data health monitoring and real-time insights
- Manages design and development of software and processes to support large scale, efficient data pipelines and optimizes the availability of data to generate insights and address business needs
- Translates technical business goals and requirements into designs utilizing best practice design patterns and partners with engineering leads, product managers, and design leads in shaping and guiding the technical direction for the data engineering team
- Manages the planning, prioritization and execution of data production projects and processes and the activities of team of data engineers responsible for developing software code that formats, tags, processes, stores and delivers data
- Develops the standards and processes required to ensure the delivery of high-quality data products
- Participates in code reviews and helps lead technical discussions, accountable for the maintenance of agile processes and ceremonies for the data team
- Manages and oversees the automation of key ETL / ELT (Extract / Transform / Load) and quality assurance (in collaboration with quality engineering team) processes for large volumes of data and migrations of workloads
- Performs and monitors data governance, data quality, integrity, standards, master data management, metadata strategy, and business intelligence/analytics
- Contributes to decisions on key technology choices for data pipelines to ensure that they are scalable, repeatable, secure, and can serve users at scale in the organization
- Allocates available resources to meet operating objectives and provides team leadership, fostering a diverse and inclusive workplace
- Performs other duties as assigned
- Complies with all policies and standards
Preferred Qualifications
-
No preferred qualifications provided.