Position Details

Salary $139K – $230K USD / year

Type Full-Time

Experience senior

Exp. Years Ten years of related experience.

Education Bachelor's Degree in STEM related field or equivalent

Category Data & Analytics

About this role

Travelers seeks a Senior Data & AI Engineer to build and operationalize complex data solutions for enterprise analytics. The role focuses on scalable data pipelines and data management practices that enable AI, Machine Learning, and business intelligence use cases.

Key Responsibilities

Build and operationalize complex data solutions
Design complex data solutions incorporating new data sources
Apply data governance, data security, and data quality competencies
Serve as a data and technology subject matter expert for end users
Analyze and resolve high-complexity defects and incidents

Technical Overview

You will design, build, and deploy cloud-native distributed compute data pipelines using AWS native services and/or Databricks, with a self-healing approach. Responsibilities include data transformation, data cleansing/quality recommendations, and applying data governance and data security across analytic environments.

Ideal Candidate

The ideal candidate is a senior data engineer with 10+ years of related experience building scalable data pipelines on Amazon Web Services (AWS) native services and/or Databricks. They combine strong data management fundamentals—data governance, data security, and data quality—with the ability to operationalize AI/Machine Learning and business intelligence data solutions.

Must-Have Skills

Ten years of related experienceExpertise designing and building scalableself-healingcloud-native distributed compute data pipelines using AWS native services and/or Databricks as the primary compute and orchestration platformExpertise supporting Artificial IntelligenceMachine Learning and business intelligence/insightsIncorporate core data management competencies including data governancedata security and data quality

Tools & Platforms

Amazon Web Services (AWS)Databricks

Required Skills

data pipelinesAWS native servicesDatabricksdata governancedata securitydata qualitydata cleansingdata transformationArtificial IntelligenceMachine Learningbusiness intelligence

Hard Skills

Data engineeringDesigning and building scalableself-healingcloud-native distributed compute data pipelinesAWS native servicesDatabricksData pipelinesData captureData explorationData transformationData utilizationLoading into enterprise data storesData cleansingData qualityData governanceData securityData governanceData qualityData management competenciesArtificial Intelligence (AI)Machine Learning (ML)Business intelligenceData solutionsOperationalize data solutionsIncident managementDefect resolutionData and system analysisSubject matter expertiseEducating end users on data products/analytic environment

Soft Skills

guiding team members' growthcollaborationeducating end userscommunicationtranslating complex data into user-friendly terminologyproblem-solvingcross-functional collaboration

Industry & Role

Industry Insurance

Job Function Design and operationalize enterprise data pipelines that enable AI, Machine Learning, and business intelligence.

Role Subtype Data Engineer

Tech Domains Amazon Web Services, AI & Machine Learning, Data Engineering, Data governance, Databricks

Keywords for Your Resume

Senior Data & AI EngineerSenior Data EngineerData Engineering teamdata pipelinescloud-native distributed computeself-healingAmazon Web ServicesAWS native servicesDatabricksdata governancedata securitydata qualitydata cleansingdata transformationArtificial IntelligenceAIMachine LearningMLbusiness intelligenceBIsubject matter expertdefects and incidentsenterprise data

Deal Breakers

Ten years of related experience, Expertise designing and building scalable, self-healing, cloud-native distributed compute data pipelines using AWS native services and/or Databricks, Experience incorporating data governance, data security and data quality

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