Senior Data Engineer

Centene Corporation

. Develop and operationalize data pipelines for reports and advanced analytics .

Posted 9/15/2026full-timeRemote • Missouri • United StatesSenior💰 $87,000 - $161,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and operationalizing data pipelines using Snowflake and AWS, with a strong focus on data quality, validation, and automated testing. Proficient in translating business requirements into scalable technical solutions while collaborating effectively within Agile teams.

Highest-signal resume keywords

Data EngineeringSnowflakeAWSAdvanced SQLCloud ETL/ELT

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data WarehousingData ModelingQuery OptimizationStored ProceduresPythonAutomated TestingPerformance OptimizationRoot-Cause AnalysisProduction SupportAnalytical Skills

Soft Skills

Project ManagementExcellent JudgmentDecision-MakingAbility to Work IndependentlyHigh Level of Accuracy Under Pressure

Tools & Technologies

AWS GlueS3LambdaCloudWatchIAMGitGitLabControl-MCI/CDAutomation

Industry Keywords

Data QualityValidationReconciliationMonitoringStakeholder Solution DesignAgile DeliveryOperational EfficiencyData ProductsBusiness RequirementsTechnical Documentation

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Develop and operationalize data pipelines for reports and advanced analytics
Design, develop, maintain, and optimize Snowflake and AWS data pipelines, reporting solutions, and data products
Build scalable ingestion, transformation, validation, and publishing processes
Translate business requirements into technical designs, user stories, process flows, and scalable solutions
Develop and maintain technical documentation, solution designs, operational runbooks, and supporting artifacts
Integrate data across Member, Provider, Claims/Encounter, Quality, and Financial domains
Implement data quality, monitoring, validation, reconciliation, automated testing, and exception-management frameworks
Support cloud modernization and migration of legacy platforms to Snowflake and AWS
Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions
Establish engineering best practices across source control, CI/CD, automation, testing, documentation, and cloud architecture
Collaborate within Agile delivery teams through planning, estimation, testing, deployment, and continuous improvement
Partner with business and technology stakeholders to improve operational efficiency and deliver high-quality data solutions

Requirements

What you’ll need

Bachelor's degree in a quantitative/business field such as statistics, mathematics, engineering, or computer science
Requires 4–6 years of related experience or equivalent experience acquired through applicable knowledge, duties, scope, and skill
4–6+ years of data engineering, data warehousing, or integration experience
Advanced SQL, Snowflake, data modeling, query optimization, stored procedures, and Python experience
Experience with cloud ETL/ELT, large-scale batch processing, production support, and stakeholder solution design
Experience with AWS Glue, S3, Lambda, CloudWatch, IAM, Git/GitLab, and Control-M or equivalent scheduling
Knowledge of data quality, validation, reconciliation, automated testing, performance optimization, and monitoring
Experience developing analytical and reporting datasets across member, provider, claims, quality, and financial domains
Proficiency with Git/GitLab, CI/CD, automation, and modern engineering practices
Strong troubleshooting, root-cause analysis, and production support skills
Ability to identify problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
Ability to work independently
Analytical skills
Project management skills
High level of accuracy under pressure
Excellent judgment and decision-making skills

Benefits

Comp & perks

Competitive pay
Health insurance
401K
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