Analytics Engineer III – AWS

Centene Corporation

. Convert analytics business requirements into technical requirements and implemented projects .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $87,700 - $157,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating analytics business requirements into technical solutions, managing SDLC processes, and leading cross-functional projects. Proficient in SQL, cloud analytics technologies, and mentoring junior engineers while effectively communicating with stakeholders.

Highest-signal resume keywords

SQLSDLC ManagementCloud Analytics TechnologiesData ModelingStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingAnalytics Code DevelopmentTest Plan DevelopmentDefect InvestigationData Engineering SolutionsSource Code ManagementValidation ControlsTechnical DocumentationData Relationships

Soft Skills

MentoringCommunicationCollaborationProblem-SolvingLeadership

Tools & Technologies

AWSDatabricksData MeshDelta LakeData LakehousePower BIGITRDBMSDBT Fundamentals

Industry Keywords

Healthcare AnalyticsHealth Information ManagementStatisticsActuarial ScienceInformation Technology

Tech Stack

Tools & technologies

AWSCloudRDBMSSDLCSQL

About the role

Key responsibilities & impact

Convert analytics business requirements into technical requirements and implemented projects
Work with IT, business, and analytics partners
Source data directly via batch and pipeline processes
Manage SDLC processes
Translate analytics business requirements into technical requirements and implement solutions
Lead meetings and/or calls with senior stakeholders and IT
Lead requirements-gathering efforts on cross-functional projects
Own presentation materials and stakeholder communications
Mentor junior engineers and support alignment across business and technology teams
Build tables, views, and scalable semantic models
Create analytics code, code-management controls, and data engineering solutions
Recommend modifications to departmental SDLC processes
Create test plans, validation controls, and reusable departmental templates
Define source code and documentation standards and principles
Manage source code repositories and technical documentation
Own multiple code bases and support governance and maintainability
Investigate and resolve defects, including critical production issues
Assume ownership of high-priority incidents and drive resolution
Define standards, best practices, and procedures for issue remediation and continuous improvement

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Healthcare Analytics, Health Information Management, Statistics, Actuarial Science, Information Technology or equivalent experience
5 years as an Analytics Engineer or 7+ years as a Data Analyst, Software Engineer, Data Engineer, or similar role required
Knowledge of SQL, SDLC, GIT, RDBMS
Enhanced understanding of cloud analytics components including AWS, Databricks, Data Mesh, Delta Lake, and Data Lakehouse environments required
Experience supporting Power BI reporting and analytics solutions preferred
Strong knowledge of SQL, software development lifecycle practices, Git, and relational database management systems
Advanced knowledge of data modeling and analytics concepts
Experience building and managing tables, views, and complex data relationships
Working knowledge of cloud analytics technologies, including Databricks, Data Mesh, Delta Lake, and Data Lakehouse concepts
Experience developing test plans, validation controls, and technical documentation
Strong defect investigation, troubleshooting, and remediation capabilities
Ability to lead discussions with senior stakeholders and work effectively across business, analytics, and IT teams
Strong written and verbal communication skills, including the ability to explain technical concepts to nontechnical audiences
Ability to work independently, manage multiple code bases, and take ownership of critical issues
Ability to mentor junior engineers
Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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