The Role
As a Senior Data Engineer, you will design, develop, and maintain data pipelines and models, leading analytics initiatives and fostering collaboration with stakeholders to address complex business challenges using data solutions.
Summary Generated by Built In
Key Responsibilities
- As a data engineer, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the creation, evaluation, implementation, and maintenance.
- Partner with Stakeholders: Work closely with business partners and peers to understand business challenges, gather requirements, and facilitate seamless data integration.
- Build Data Solutions: Design, develop, and maintain robust data pipelines and modeling solutions that support business objectives and drive performance improvements.
- Analytics Execution: Lead all phases of analytics initiatives, including exploratory data analysis, preprocessing, model development, and deployment.
- Data Synthesis & Insights: Analyze and synthesize data from multiple structured and unstructured sources to uncover trends, assess business impact, and recommend actionable improvements.
- Relationship Management: Foster strong working relationships across Chubb’s business, IT, and analytics teams to ensure alignment and effective collaboration.
- Communication: Present findings and recommendations to stakeholders in clear, concise written, oral, and presentation formats.
Requirements
- Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems
- SQL & Database Expertise: Advanced SQL skills and strong understanding of database architectures and data extraction techniques.
- Data Modeling & Governance: Proven experience in data modeling and data governance, ensuring data quality and compliance.
- Data Operations: Experience in setting up and maintaining data extraction, collection, cleansing, and organization processes.
- Emerging Technologies: Hands-on experience with modern data platforms such as Azure Synapse, Databricks, and Snowflake.
- Adaptability & Problem Solving: Ability to multi-task, learn quickly, solve complex problems, and stay current with industry trends
- Proficient in both written and spoken English and Spanish at an advanced level.
Experience
- 4+ years of progressive experience in data engineering, product development, and/or data governance.
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent field. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science preferred (graduate degree is a plus).
- Strong interpersonal, negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers.
Key Responsibilities
- As a data engineer, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the creation, evaluation, implementation, and maintenance.
- Partner with Stakeholders: Work closely with business partners and peers to understand business challenges, gather requirements, and facilitate seamless data integration.
- Build Data Solutions: Design, develop, and maintain robust data pipelines and modeling solutions that support business objectives and drive performance improvements.
- Analytics Execution: Lead all phases of analytics initiatives, including exploratory data analysis, preprocessing, model development, and deployment.
- Data Synthesis & Insights: Analyze and synthesize data from multiple structured and unstructured sources to uncover trends, assess business impact, and recommend actionable improvements.
- Relationship Management: Foster strong working relationships across Chubb’s business, IT, and analytics teams to ensure alignment and effective collaboration.
- Communication: Present findings and recommendations to stakeholders in clear, concise written, oral, and presentation formats.
Requirements
- Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems
- SQL & Database Expertise: Advanced SQL skills and strong understanding of database architectures and data extraction techniques.
- Data Modeling & Governance: Proven experience in data modeling and data governance, ensuring data quality and compliance.
- Data Operations: Experience in setting up and maintaining data extraction, collection, cleansing, and organization processes.
- Emerging Technologies: Hands-on experience with modern data platforms such as Azure Synapse, Databricks, and Snowflake.
- Adaptability & Problem Solving: Ability to multi-task, learn quickly, solve complex problems, and stay current with industry trends
- Proficient in both written and spoken English and Spanish at an advanced level.
Experience
- 4+ years of progressive experience in data engineering, product development, and/or data governance.
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent field. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science preferred (graduate degree is a plus).
- Strong interpersonal, negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers.
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The Company
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
