Manager, Data Reliability Engineering

Centene Corporation; Pennsylvania; Remote; USD 100,000 - 187,000; Full time

Job summary

An established industry player is seeking a Data Manager to enhance health outcomes through technology. In this pivotal role, you will lead a team of engineers to ensure data reliability and observability, driving operational excellence and system performance. You will develop scalable frameworks, manage data pipelines, and translate technical goals into actionable designs. This position offers a unique opportunity to impact the lives of millions while enjoying a flexible work environment and competitive benefits. If you are passionate about data and technology, this role is perfect for you.

Benefits

Health insurance

401K

Stock purchase plans

Tuition reimbursement

Paid time off

Flexible work schedules

Qualifications

• Requires a Bachelor's degree and 5+ years of related experience.
• Equivalent experience may be considered.

Responsibilities

• Manages data reliability and observability frameworks for operational excellence.
• Leads a team of engineers for proactive monitoring and anomaly detection.
• Communicates analytical insights to various stakeholders.

Skills

Data Observability & Monitoring Tools

Data Reliability & Anomaly Detection

ETL

SQL

Data Quality Frameworks

AWS

Data Lineage & Traceability Solutions

Education

Bachelor's degree

Job description

4 days ago Be among the first 25 applicants

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose 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. Manages the overall data platform and infrastructure and mentors the team of data engineers. Supports developing processes, and expanding technology roadmap, planning features, measuring outputs, and ensuring quality products. They will also derive analytical insights from a variety of business contexts and communicate those insights effectively to a variety of stakeholders.

• Supports the development of observability processes, expands technology roadmaps, plans feature, 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 partner 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 help 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
  
  

Education/Experience Requires a Bachelor's degree and 5+ years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

Technical Skills

• One or more of the following skills are desired.
• 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
  
  

Pay Range $100,900.00 - $186,800.00 per year

Centene offers a comprehensive benefits package including competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law. Total compensation may also include additional forms of incentives.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care and Insurance

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