Analytics Engineer II

Centene Corporation

. Convert analytics business requirements into technical requirements by working with IT, business, and analytics partners .

Posted 11/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $87,700 - $157,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in converting analytics business requirements into technical specifications, developing predictive models, and modernizing data platforms. Proficient in SQL, data governance, and mentoring teams to align engineering efforts with business objectives.

Highest-signal resume keywords

SQL DevelopmentData ModelingTeradata-to-Snowflake MigrationDBT FundamentalsAnalytics Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalyticsPredictive ModelingBatch PipelinesAutomated TestingData GovernanceTechnical DocumentationBug RemediationAdvanced Data ConceptsRDBMS

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

DatabricksGitSnowflakeTeradataDBT

Industry Keywords

Analytics EngineeringHealthcare AnalyticsHealth Information ManagementStatisticsActuarial Science

Tech Stack

Tools & technologies

RDBMSSDLCSnowflakeSQL

About the role

Key responsibilities & impact

Convert analytics business requirements into technical requirements by working with IT, business, and analytics partners
Develop models and analytical resources for data analysts, reports, dashboards, and business users
Lead Member Insights technical efforts supporting member retention, engagement, and enterprise decisions
Oversee time-to-lapse predictive models and Subscriber Engagement Score/Member Mindsets models
Modernize platforms through Teradata-to-Snowflake migration and adoption of Databricks, dbt, and Git
Build shared environments, governance and testing standards, and mentor teams
Guide the technical roadmap to align engineering with business priorities
Lead customer or IT calls and meetings occasionally
Serve as primary engineer on projects of basic to moderate complexity and interpret requirements
Build tables and views using advanced data and analytics concepts
Develop SQL, batch pipelines, test plans, and automated testing processes
Create source code and documentation principles and own code or domain knowledge for products
Investigate and remediate moderate to difficult bugs and defects and recommend optimized solutions

Requirements

What you’ll need

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
Bachelor’s degree in Computer Science, Healthcare Analytics, Health Information Management, Statistics, Actuarial Science, Information Technology or equivalent experience
3 years as an Analytics Engineer or 5+ years as a Data Analyst, Software Engineer, Data Engineer, or similar role required
Knowledge of SQL, SDLC, GIT, RDBMS
DBT Fundamentals preferred

Benefits

Comp & perks

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
Equal opportunity employment