Manager, Analytics Engineering

🔥 7 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

💵 $102.9k - $190.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Centene Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🛡️ Insurance

💼 Consulting

🏥 Healthcare

Insurance • Consulting • Healthcare

Centene Corporation is a leading provider of government-sponsored healthcare services, specializing in delivering affordable and high-quality healthcare solutions. For over 40 years, Centene has focused on transforming the health of communities by expanding access to Medicaid, Medicare, and Health Insurance Marketplace services, as well as serving military communities through the TRICARE program. As the largest Medicaid managed care organization and a key participant in the Marketplace, Centene emphasizes localized healthcare delivery combined with strong partnerships with nonprofit organizations to meet the unique needs of its members. Centene is also committed to corporate sustainability and social responsibility, prioritizing environmental stewardship and ethical governance to enhance the well-being of the communities it serves.

📋 Description

• Lead, mentor, and grow a high-performing analytics engineering team • Foster a collaborative, inclusive, and innovative team culture • Provide coaching, feedback, and career development support • Translate business requirements into scalable analytics solutions • Define and implement best practices for data modeling, transformation, and delivery • Drive adoption of dbt and modern analytics engineering tools and methodologies • Oversee the design and maintenance of analytics-ready data models • Ensure efficient and reliable data pipelines using Snowflake, SQL, and dbt • Promote reusable, modular, and well-documented code • Structure, label, and validate datasets for AI and machine learning use cases • Collaborate with data science and AI teams on model training and deployment • Implement data governance standards, metadata management, and data lineage • Monitor and improve data quality, integrity, and consistency • Ensure compliance with enterprise data policies and regulatory requirements • Partner with business leaders, product managers, and data consumers to deliver insights • Present findings, roadmaps, and recommendations to senior leadership • Manage analytics engineering infrastructure and cloud data platforms • Evaluate and integrate tools to improve productivity and scalability • Maintain CI/CD pipelines and Git-based deployment workflows • Plan and prioritize initiatives aligned with business goals • Track progress, measure impact, and ensure timely delivery • Identify and mitigate risks related to data infrastructure and analytics operations • Perform other duties as assigned • Comply with all policies and standards

🎯 Requirements

• Bachelor's degree and 5+ years of related experience • Equivalent experience may substitute through applicable knowledge, duties, scope and skill reflective of the level of the position • Experience with data modeling, transformation, and delivery • Experience with dbt and modern analytics engineering methodologies • Experience with Snowflake, SQL, and dbt • Experience with cloud data platforms such as Snowflake and BigQuery • Experience with CI/CD pipelines and Git-based workflows • Knowledge of AI and machine learning data requirements • Knowledge of data governance, metadata management, and data lineage • Understanding of enterprise data policies and regulatory requirements • Ability to communicate technical concepts and analytics outcomes to non-technical audiences • Ability to lead, mentor, and develop analytics engineers

🏖️ Benefits

• Competitive pay • Health insurance • 401K plan • Stock purchase plans • Tuition reimbursement • Paid time off plus holidays • Flexible approach to work with remote, hybrid, field or office work schedules • Additional forms of incentives may be included in total compensation