1 day ago

Job Description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Sr. Data Engineer

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
  • Serves as a core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
  • Architects and builds transformation pipelines that deliver high-quality data inputs to Snowflake and dbt AI features.
  • Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces.
  • Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently.
  • Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices.
  • Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

  • Performs other duties as assigned.
  • Supports the organization's quality program(s).
  • Travels as required.

SUPERVISORY RESPONSIBILITIES

  • Provides direct management and career mentorship to one data engineer, with potential for the team to grow.

QUALIFICATIONS

Education & Licensing

Bachelor's degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.

Equivalent combination of education, professional certifications, and relevant work experience will be considered.

Experience

  • Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required.
  • Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing required.
  • Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event-driven patterns required.
  • Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred.

Skills & Knowledge

  • Advanced knowledge of Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing.
  • Strong knowledge of scalable batch, real-time streaming, and event-driven data pipeline architecture.
  • Experience with semantic layers, including dbt Semantic Layer and Snowflake Cortex or semantic definitions.
  • Strong Python skills, particularly in cloud environments and Azure Functions used for data workloads.
  • Strong SQL capabilities.
  • Experience with dbt highly preferred.
  • Experience with Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, preferred.
  • Familiarity with AWS data ecosystems preferred.
  • Knowledge of reference architecture, reusable pipeline patterns, templates, and CI/CD practices.
  • Collaborative coaching and leadership skills, with the ability to teach, establish governance, and strengthen engineering practices across cross-functional teams.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to meet or exceed performance competencies.

WORK ENVIRONMENT

When applicable and appropriate, consideration will be given to reasonable accommodations.

Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines

Physical: Computer keyboarding, travel as required

Auditory/Visual: Hearing, vision and talking

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Numbers & Facts

LocationFL
IndustryManagement Consulting Services
Company Size10,000 employees or more
Year Founded1969
Websitehttps://www.sedgwick.com/Pages/default.aspx

Benefits

Paid Sick Days, Performance Bonus, Professional Development, 401K, Employee Referral Program, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, Military Leave

About Company

Sedgwick Claims Management Services, Inc., is a leading global provider of technology-enabled risk and benefits solutions. At Sedgwick, caring countsSM; the company takes care of people and organizations by delivering cost-effective claims, productivity, managed care, risk consulting and other services through the dedication and expertise of nearly 15,000 colleagues in some 275 offices located in the U.S., Canada, the U.K and Ireland. Sedgwick facilitates financial and personal health and helps customers and consumers navigate complexity by designing and implementing customized programs based on proven practices and advanced technology that exceed expectations. Sedgwick’s majority shareholder is KKR; Stone Point Capital LLC, La Caisse de dépôt et placement du Québec (CDPQ) and other management investors are minority shareholders.

Skills

  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Programming Languagesunmatched
  • Auditoryunmatched
  • Best Practicesunmatched
  • Cloud Computingunmatched
  • Coachingunmatched
  • Communication Skillsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cross-Functionalunmatched
  • Data Analysisunmatched
  • Data Entryunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Qualityunmatched
  • Data Storageunmatched
  • Ecosystemsunmatched
  • Financial Servicesunmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Insuranceunmatched
  • Interface Programming Languagesunmatched
  • Leadershipunmatched
  • Licensingunmatched
  • Mentoringunmatched
  • Metadataunmatched
  • Microsoft Windows Azureunmatched
  • Modeling Languagesunmatched
  • Multitaskingunmatched
  • Organizational Skillsunmatched
  • Performance Modelingunmatched
  • Performance Tuning/Optimizationunmatched
  • Problem Solving Skillsunmatched
  • Product Developmentunmatched
  • Python Programming/Scripting Languageunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Snowflake Schemaunmatched
  • Team Playerunmatched
  • Time Managementunmatched
  • Training/Teachingunmatched
  • User Interface/Experience (UI/UX)unmatched
  • Willing to Travelunmatched

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