Data Engineer jobs at Selective Insurance

**Resp & Qualifications** **PURPOSE:** The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company. This specific opening is for a HEDIS Engineer who can build data solutions to support HEDIS processing and submissions. This role also requires data analysis to ensure correctness of processing. **ESSENTIAL FUNCTIONS:** + Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using multiple technologies. + Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems. + Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery. + Creates data collection frameworks for structured and unstructured data. + Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. + Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. + Applies and implements best practices for data auditing, scalability, reliability and application performance. **SUPERVISORY RESPONSIBILITY:** Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources. **QUALIFICATIONS:** **Education Level:** Bachelor's Degree in Computer Science, Information Technology or Engineering or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. **Experience:** 5 years Experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. **Preferred Qualifications:** + Expert with Informatica IICS and SQL. + Knowledge of Snowflake DB and Azure suit preferred or willing to learn. + Experience with health care data, preferably HEDIS experience. **Knowledge, Skills and Abilities (KSAs)** + Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python). + Knowledge and understanding of database design and implementation concepts. + Knowledge and understanding of data exchange formats. + Knowledge and understanding of data movement concepts. + Strong technical and analytical and problem-solving skills to troubleshoot to solve a variety of problems. + Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities. + Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging. **Salary Range:** $96,048 - $190,762 **Salary Range Disclaimer** The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements). **Department** Payment Integrity **Equal Employment Opportunity** CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. **Where To Apply** Please visit our website to apply: ************************* **Federal Disc/Physical Demand** Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs. **PHYSICAL DEMANDS:** The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted. **Sponsorship in US** Must be eligible to work in the U.S. without Sponsorship \#LI-LD1 REQNUMBER: 21542

**Resp & Qualifications** **PURPOSE:** The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions. **ESSENTIAL FUNCTIONS:** + Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. + Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations. + Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution. + Research and analyze data flow across complex data ecosystem including operational and analytical data platforms. + Manage the collection of business and technical requirements from stakeholders to deliver data driven solution. Produces and reviews technical documentation that is consistent with professional standards. + Lead in the design, development, validation and delivery of data to provide insight into business decisions. + Act as a mentor to all team members. **SUPERVISORY RESPONSIBILITY:** Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources. **QUALIFICATIONS:** **Education Level:** Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. **Experience:** 8 years experience in an progressively responsible analytical/quantitative role. **Preferred Qualifications:** + Experience in healthcare industry. + Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale. + Strong project management skills and ability to manage multiple and diverse stakeholders and leadership roles. + Masters degree strongly preferred in Analytics, Statistics, Data Science, or a related field. + 6+ years of progressive experience in analytics, with demonstrated leadership on complex initiatives. **_Expert-level skills in:_** + SQL across enterprise-scale data environments. + Microsoft Power BI ecosystem (including Power BI Report Builder, semantic model development, DAX). + Microsoft Fabric (dataflows, lakehouses, pipelines, DirectLake). + Proficient in Python (advanced analytics, model development, automation). + Experience mentoring junior analysts or leading analytics pods/projects. + Ability to design and implement analytical models that drive decision-making. + Strong storytelling and executive-level presentation skills. + Experience working in Agile or product-oriented analytics teams is preferred. **Knowledge, Skills and Abilities (KSAs)** + Quantitative, analytical and problem-solving skills. + Knowledge and understanding of analytical tools, languages, applications, platforms. + Excellent communication skills both written and verbal. + Ability to learn quickly and take direction. + Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging. **Salary Range:** $99,144 - $196,911 **Salary Range Disclaimer** The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilites of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements). **Department** Data Intelligence **Equal Employment Opportunity** CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. **Where To Apply** Please visit our website to apply: ************************* **Federal Disc/Physical Demand** Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs. **PHYSICAL DEMANDS:** The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted. **Sponsorship in US** Must be eligible to work in the U.S. without Sponsorship \#LI-KT1 REQNUMBER: 21547

We are building a next-generation Cloud Data Platform to unify data from Policy, Claims, Billing, and Administration systems into a single source of truth. We are seeking a Lead Cloud Data Engineer who will be 75% hand-on and play a critical role in designing, building, and optimizing our modern data ecosystem leveraging Medallion architecture, Delta Lake, and modern data warehouse technologies such as Snowflake, Synapse, or Redshift. As a technical leader, the Lead Data Engineer will define and execute the end-to-end data engineering strategy from data ingestion and modeling to governance and performance optimization enabling scalable, high-quality, and analytics-ready data assets. This role requires hands on deep technical expertise in cloud-native data engineering, automation, and architecture design, coupled with strong leadership to mentor teams and align solutions with business goals. Responsibilities: Data Platform Design & Architecture Define the strategic roadmap for the enterprise data platform, ensuring scalability, performance, and interoperability across business domains. Architect and implement cloud-native, Medallion-based data architectures (Bronze-Silver-Gold layers) for unified and governed data delivery. Drive standardization of data models, pipelines, and quality frameworks across Policy, Claims, Billing, and Administrative data assets. Evaluate and implement emerging data technologies to strengthen the platform's performance, cost efficiency, and resilience Data Integration & Ingestion Design, build, and optimize high-performance ingestion pipelines, using AWS Glue, Databricks, or custom Spark applications. Automate ingestion of structured, semi-structured, and unstructured data from APIs databases, and external data feeds. Tune and monitor ingestion pipelines for throughput, cost control, and reliability across dev/test/prod environments. Data Transformation & Modeling Hands on Development of ETL/ELT pipelines using Databricks or similar frameworks to transform raw data into curated and consumption-ready datasets. Design and develop relational, Vault, and dimensional data models to support analytics, BI, and AI/ML workloads. Define and enforce data quality standards, validation frameworks, and enrichment rules to ensure trusted business data. Apply data quality, cleansing, and enrichment logic to ensure accuracy and completeness of business-critical data. Cloud Infrastructure, Automation and Performance Collaborate with DevOps and Cloud Engineering teams to design automated, infrastructure-as-code environments using Terraform, CloudFormation, or equivalent tools. Implement CI/CD pipelines for data pipeline deployment, versioning, and testing. Lead performance tuning and scalability optimization to ensure highly available, cost-efficient data platform. Governance, Security & Compliance Implement and enforce data governance, cataloging, and lineage practices using tools such as Purview, Alation, or Collibra. Partner with InfoSec to implement data privacy, access control, and compliance frameworks aligned with regulatory standards. Drive consistency and accountability in data stewardship across business and IT teams. Leadership, Collaboration & Mentorship Lead a team of data engineers, providing technical guidance, coaching, and performance mentorship. Collaborate with Data Architects, Analysts, and Business Leaders to align data solutions with enterprise strategy. Promote a culture of engineering excellence, reusability, and knowledge sharing across data organization. Influence enterprise-wide standards for data engineering, automation, and governance. We are building a next-generation Cloud Data Platform to unify data from Policy, Claims, Billing, and Administration systems into a single source of truth. We are seeking a Lead Cloud Data Engineer who will be 75% hand-on and play a critical role in designing, building, and optimizing our modern data ecosystem leveraging Medallion architecture, Delta Lake, and modern data warehouse technologies such as Snowflake, Synapse, or Redshift. As a technical leader, the Lead Data Engineer will define and execute the end-to-end data engineering strategy from data ingestion and modeling to governance and performance optimization enabling scalable, high-quality, and analytics-ready data assets. This role requires hands on deep technical expertise in cloud-native data engineering, automation, and architecture design, coupled with strong leadership to mentor teams and align solutions with business goals. Responsibilities: Data Platform Design & Architecture Define the strategic roadmap for the enterprise data platform, ensuring scalability, performance, and interoperability across business domains. Architect and implement cloud-native, Medallion-based data architectures (Bronze-Silver-Gold layers) for unified and governed data delivery. Drive standardization of data models, pipelines, and quality frameworks across Policy, Claims, Billing, and Administrative data assets. Evaluate and implement emerging data technologies to strengthen the platform's performance, cost efficiency, and resilience Data Integration & Ingestion Design, build, and optimize high-performance ingestion pipelines, using AWS Glue, Databricks, or custom Spark applications. Automate ingestion of structured, semi-structured, and unstructured data from APIs databases, and external data feeds. Tune and monitor ingestion pipelines for throughput, cost control, and reliability across dev/test/prod environments. Data Transformation & Modeling Hands on Development of ETL/ELT pipelines using Databricks or similar frameworks to transform raw data into curated and consumption-ready datasets. Design and develop relational, Vault, and dimensional data models to support analytics, BI, and AI/ML workloads. Define and enforce data quality standards, validation frameworks, and enrichment rules to ensure trusted business data. Apply data quality, cleansing, and enrichment logic to ensure accuracy and completeness of business-critical data. Cloud Infrastructure, Automation and Performance Collaborate with DevOps and Cloud Engineering teams to design automated, infrastructure-as-code environments using Terraform, CloudFormation, or equivalent tools. Implement CI/CD pipelines for data pipeline deployment, versioning, and testing. Lead performance tuning and scalability optimization to ensure highly available, cost-efficient data platform. Governance, Security & Compliance Implement and enforce data governance, cataloging, and lineage practices using tools such as Purview, Alation, or Collibra. Partner with InfoSec to implement data privacy, access control, and compliance frameworks aligned with regulatory standards. Drive consistency and accountability in data stewardship across business and IT teams. Leadership, Collaboration & Mentorship Lead a team of data engineers, providing technical guidance, coaching, and performance mentorship. Collaborate with Data Architects, Analysts, and Business Leaders to align data solutions with enterprise strategy. Promote a culture of engineering excellence, reusability, and knowledge sharing across data organization. Influence enterprise-wide standards for data engineering, automation, and governance. Qualifications: Bachelor's or master's degree in computer science, Data Engineering, or a related field. 12+ years of experience in data engineering with at 3+ years in a lead or architect-level role and least 8+ years on cloud platforms (AWS, Azure, or GCP). Deep hands-on experience with Python, SQL, and data modeling (relational, and Dimensional), Databricks, Spark, AWS Glue, Delta Lake, Snowflake, Synapse, or Redshift Proven experience with Medallion architecture, modern data warehousing principles., data governance, lineage, and CI/CD for data pipelines Excellent leadership, communication, and cross-functional collaboration skills. Experience in the Property & Casualty (P&C) Insurance domain such as Policy, Claims, or Billing data preferred. Familiarity with event-driven architectures (Kafka, Kinesis) and real-time data streaming. Knowledge of machine learning pipeline integration and feature engineering. Proven ability to lead large-scale data modernization or cloud migration initiatives. Compensation: $140,000 - $165,000 commensurate with experience, plus bonus eligibility Benefits: We are proud to offer a robust benefits suite that includes: Competitive base salary plus incentive plans for eligible team members 401(K) retirement plan that includes a company match of up to 6% of your eligible salary Free basic life and AD&D, long-term disability and short-term disability insurance Medical, dental and vision plans to meet your unique healthcare needs Wellness incentives Generous time off program that includes personal, holiday and volunteer paid time off Flexible work schedules and hybrid/remote options for eligible positions Educational assistance #TMG Skills & Requirements Qualifications: Bachelor's or master's degree in computer science, Data Engineering, or a related field. 12+ years of experience in data engineering with at 3+ years in a lead or architect-level role and least 8+ years on cloud platforms (AWS, Azure, or GCP). Deep hands-on experience with Python, SQL, and data modeling (relational, and Dimensional), Databricks, Spark, AWS Glue, Delta Lake, Snowflake, Synapse, or Redshift Proven experience with Medallion architecture, modern data warehousing principles., data governance, lineage, and CI/CD for data pipelines Excellent leadership, communication, and cross-functional collaboration skills. Experience in the Property & Casualty (P&C) Insurance domain such as Policy, Claims, or Billing data preferred. Familiarity with event-driven architectures (Kafka, Kinesis) and real-time data streaming. Knowledge of machine learning pipeline integration and feature engineering. Proven ability to lead large-scale data modernization or cloud migration initiatives. Compensation: $140,000 - $165,000 commensurate with experience, plus bonus eligibility Benefits: We are proud to offer a robust benefits suite that includes: Competitive base salary plus incentive plans for eligible team members 401(K) retirement plan that includes a company match of up to 6% of your eligible salary Free basic life and AD&D, long-term disability and short-term disability insurance Medical, dental and vision plans to meet your unique healthcare needs Wellness incentives Generous time off program that includes personal, holiday and volunteer paid time off Flexible work schedules and hybrid/remote options for eligible positions Educational assistance #TMG

The Data Management group within Global Analytics at Chubb is seeking a Data Solutions Lead to join our fast-paced, high-energy Data team. This individual will work closely with B360 Product Owner to evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects. Job Description By joining Chubb as a Data Solutions Lead, you will work closely with B360 product owner and evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of Business needs and priorities and as part of our Global Smart Data Group. Our smart data assets feed into multiple systems and applications, with the data that directly supports business decisions being made every day. With us, you'll leverage your knowledge of SQL, Python, and database tables to analyze data, identify gaps or discrepancies, and partner with applications teams, IT teams across the business, and our stakeholders to drive solutions that directly impact how data is used throughout the business. You'll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our smart data assets. Responsibilities * In close alignment with B360 Product owner support assigned work efforts through all phases of the requirements, development, testing, and implementation life cycle, reviewing all requirements, analyzing results, and testing/validating data. * Working Closely with B360 product Owner reconcile external and internal data sources and identify the root cause of discrepancies; distinguish between multiple root causes and/or multiple trends in each data set and articulate results to stakeholders and technical resources. * In Close alignment with B360 Product owner analyze and test our data assets, Data APIs, and investigate for any data issues or discrepancies. * Monitor our data refresh process to ensure the reliability and accuracy of information loaded into the data service layer. * Aid in defining and documenting requirements, communicating changes in scope or requirements, to all stakeholders as required; Generate reports, ad-hoc extracts for business and leadership. * Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies. * Collaborate with cross-functional teams, including underwriting, claims, sales, and IT, to ensure data analysis aligns with business objectives. * Bachelor's degree in computer science, Engineering, or a related field. Master's degree preferred. * Minimum of 10+ years of experience in a Data Analysis, Data Quality Assurance (or similar) role as part of an Analytics Solutions team and supporting data-driven projects. * Minimum 5+ years of experience in leading teams. * Prior experience within the insurance industry is a definite plus * Experience working with diverse data platforms, relational, NoSQL, with demonstrated understanding of databases, table structures, and data models. * Advanced knowledge of SQL, with the ability to write and troubleshoot medium to advanced SQL queries. * Proficiency in Python and its libraries for data analysis * Experience in working with structured and unstructured data. * Familiarity with data lake and large-scale data storage systems * Eager to learn new technologies and analytical methodologies. * Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights * Prior experience in the Azure platform and Databricks/Spark is a plus. The pay range for the role is $126,000 to $215,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

Chubb is looking for a Azure Platform Engineering Professional with a Bachelor's Degree to join our Global Data Platform team. This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company. As the industry leader, Chubb is an employer of choice for skilled IT professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major US and key International cities. Chubb's Global Data Platform (GDP ) team manages multi cloud Data and Analytics capabilities and is responsible for cutting edge technlogies like SnowFlake, Synapse, Fabric, DataBricks, OpenAI, Informatica, Dataiku and Alteryx. Our Technology teams are dedicated to creating competitive advantages in products, customer services and business costs by driving digital transformation in our business with a modernized focus on agile methodology and data analytics. Responsibilities Ideal candidate will be a highly skilled Platform engineer with deep knowledge of Azure Synapse, Azure Data Lake, SQLServer and Azure. Experience in other cloud database platforms like Redshift or Snowflake in addition to MS Synapse and SQLServer is a plus. You are a self-starter who is passionate about Data and Platform Engineering and Analytics. You are adept at providing solutions to challenging data problems by utilizing a variety of different strategies, architectures and technlogies. Manage Azure Synapse Gen 2 warehouses supporting tier-1 critical workloads. Manage Snowflake, SQLServer and other data technologies. Monitor and troubleshoot issues related to Database Services, Storage and performance. SQL Performance Tuning and Monitoring HA-DR planning, Implementation and operation. Implement and maintain data security measures in compliance with company policies and industry best practices. Platform automation tasks like Project Onboarding, Cluster creation Collaborate with Data Engineers, Data Scientist and Application developers on complex technical challenges. Deliver on Azure and Data Platform projects. Researching and develop modern data services and enhancments Build proof of concepts & prototypes to solve emerging challenges Stay current with new data technologies and programming models Be self-motivated and creative. Qualifications Bachelor's degree in software engineering, computer science or related engineering field 4+ years of professional experience in managing Azure Synapse Gen 2 with focus on supporting critical systems, performance tuning and monitoring Alternatively, 4+ years of professional experience in managing tier-1 SQLServer or SnowFlake Applications, Clustering, Cloud certification and willingness to lead Synapse Gen 2 and Snowflake Technologies. 2+ years of experience in cloud data lake technologies, preferably Azure Skilled in SQL, NoSQL, Scripting, Terraform and other cloud and Automation technologies Experience in mordern data design and best practices Experience in backup, recovery, performance tuning and optimization Familiar with working in linux operating system and scripting Azure certifications such as Azure solutions Architect Expert is a plus. The pay range for the role is $126,700 to $215,400. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

The Data Management group within Global Analytics at Chubb is seeking a Data Solutions Lead to join our fast-paced, high-energy Data team. This individual will work closely with B360 Product Owner to evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects. Job Description By joining Chubb as a Data Solutions Lead, you will work closely with B360 product owner and evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of Business needs and priorities and as part of our Global Smart Data Group. Our smart data assets feed into multiple systems and applications, with the data that directly supports business decisions being made every day. With us, you'll leverage your knowledge of SQL, Python, and database tables to analyze data, identify gaps or discrepancies, and partner with applications teams, IT teams across the business, and our stakeholders to drive solutions that directly impact how data is used throughout the business. You'll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our smart data assets. Responsibilities In close alignment with B360 Product owner support assigned work efforts through all phases of the requirements, development, testing, and implementation life cycle, reviewing all requirements, analyzing results, and testing/validating data. Working Closely with B360 product Owner reconcile external and internal data sources and identify the root cause of discrepancies; distinguish between multiple root causes and/or multiple trends in each data set and articulate results to stakeholders and technical resources. In Close alignment with B360 Product owner analyze and test our data assets, Data APIs, and investigate for any data issues or discrepancies. Monitor our data refresh process to ensure the reliability and accuracy of information loaded into the data service layer. Aid in defining and documenting requirements, communicating changes in scope or requirements, to all stakeholders as required; Generate reports, ad-hoc extracts for business and leadership. Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies. Collaborate with cross-functional teams, including underwriting, claims, sales, and IT, to ensure data analysis aligns with business objectives. Bachelor's degree in computer science, Engineering, or a related field. Master's degree preferred. Minimum of 10+ years of experience in a Data Analysis, Data Quality Assurance (or similar) role as part of an Analytics Solutions team and supporting data-driven projects. Minimum 5+ years of experience in leading teams. Prior experience within the insurance industry is a definite plus Experience working with diverse data platforms, relational, NoSQL, with demonstrated understanding of databases, table structures, and data models. Advanced knowledge of SQL, with the ability to write and troubleshoot medium to advanced SQL queries. Proficiency in Python and its libraries for data analysis Experience in working with structured and unstructured data. Familiarity with data lake and large-scale data storage systems Eager to learn new technologies and analytical methodologies. Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights Prior experience in the Azure platform and Databricks/Spark is a plus.

Chubb is looking for a Azure Platform Engineering Professional with a Bachelor's Degree to join our Global Data Platform team. This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company. As the industry leader, Chubb is an employer of choice for skilled IT professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major US and key International cities. Chubb's Global Data Platform (GDP ) team manages multi cloud Data and Analytics capabilities and is responsible for cutting edge technlogies like SnowFlake, Synapse, Fabric, DataBricks, OpenAI, Informatica, Dataiku and Alteryx. Our Technology teams are dedicated to creating competitive advantages in products, customer services and business costs by driving digital transformation in our business with a modernized focus on agile methodology and data analytics. Responsibilities Ideal candidate will be a highly skilled Platform engineer with deep knowledge of Azure Synapse, Azure Data Lake, SQLServer and Azure. Experience in other cloud database platforms like Redshift or Snowflake in addition to MS Synapse and SQLServer is a plus. You are a self-starter who is passionate about Data and Platform Engineering and Analytics. You are adept at providing solutions to challenging data problems by utilizing a variety of different strategies, architectures and technlogies. Manage Azure Synapse Gen 2 warehouses supporting tier-1 critical workloads. Manage Snowflake, SQLServer and other data technologies. Monitor and troubleshoot issues related to Database Services, Storage and performance. SQL Performance Tuning and Monitoring HA-DR planning, Implementation and operation. Implement and maintain data security measures in compliance with company policies and industry best practices. Platform automation tasks like Project Onboarding, Cluster creation Collaborate with Data Engineers, Data Scientist and Application developers on complex technical challenges. Deliver on Azure and Data Platform projects. Researching and develop modern data services and enhancments Build proof of concepts & prototypes to solve emerging challenges Stay current with new data technologies and programming models Be self-motivated and creative. Experience and Qualifications Bachelor's degree in software engineering, computer science or related engineering field 4+ years of professional experience in managing Azure Synapse Gen 2 with focus on supporting critical systems, performance tuning and monitoring Alternatively, 4+ years of professional experience in managing tier-1 SQLServer or SnowFlake Applications, Clustering, Cloud certification and willingness to lead Synapse Gen 2 and Snowflake Technologies. 2+ years of experience in cloud data lake technologies, preferably Azure Skilled in SQL, NoSQL, Scripting, Terraform and other cloud and Automation technologies Experience in mordern data design and best practices Experience in backup, recovery, performance tuning and optimization Familiar with working in linux operating system and scripting Azure certifications such as Azure solutions Architect Expert is a plus.

The Data Management group within Global Analytics at Chubb is seeking a Data Solutions Lead to join our fast-paced, high-energy Data team. This individual will work closely with B360 Product Owner to evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects. Job Description By joining Chubb as a Data Solutions Lead, you will work closely with B360 product owner and evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of Business needs and priorities and as part of our Global Smart Data Group. Our smart data assets feed into multiple systems and applications, with the data that directly supports business decisions being made every day. With us, you'll leverage your knowledge of SQL, Python, and database tables to analyze data, identify gaps or discrepancies, and partner with applications teams, IT teams across the business, and our stakeholders to drive solutions that directly impact how data is used throughout the business. You'll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our smart data assets. Responsibilities In close alignment with B360 Product owner support assigned work efforts through all phases of the requirements, development, testing, and implementation life cycle, reviewing all requirements, analyzing results, and testing/validating data. Working Closely with B360 product Owner reconcile external and internal data sources and identify the root cause of discrepancies; distinguish between multiple root causes and/or multiple trends in each data set and articulate results to stakeholders and technical resources. In Close alignment with B360 Product owner analyze and test our data assets, Data APIs, and investigate for any data issues or discrepancies. Monitor our data refresh process to ensure the reliability and accuracy of information loaded into the data service layer. Aid in defining and documenting requirements, communicating changes in scope or requirements, to all stakeholders as required; Generate reports, ad-hoc extracts for business and leadership. Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies. Collaborate with cross-functional teams, including underwriting, claims, sales, and IT, to ensure data analysis aligns with business objectives. Qualifications Bachelor's degree in computer science, Engineering, or a related field. Master's degree preferred. Minimum of 10+ years of experience in a Data Analysis, Data Quality Assurance (or similar) role as part of an Analytics Solutions team and supporting data-driven projects. Minimum 5+ years of experience in leading teams. Prior experience within the insurance industry is a definite plus Experience working with diverse data platforms, relational, NoSQL, with demonstrated understanding of databases, table structures, and data models. Advanced knowledge of SQL, with the ability to write and troubleshoot medium to advanced SQL queries. Proficiency in Python and its libraries for data analysis Experience in working with structured and unstructured data. Familiarity with data lake and large-scale data storage systems Eager to learn new technologies and analytical methodologies. Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights Prior experience in the Azure platform and Databricks/Spark is a plus. The pay range for the role is $126,000 to $215,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

As a Senior Staff Software Engineer focused on Generative AI initiatives, you will provide technical leadership in identifying, implementing, and integrating Generative AI solutions to solve complex business problems. You will bridge the gap between traditional software engineering and AI technologies, leading teams to deliver AI-enhanced features and capabilities while mentoring engineers on practical AI adoption within existing software systems. An in-person interview may be required during the hiring process. Geo-Salary Information State specific pay scales for this role are as follows: $118,465 to $224,994 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $107,695 to $204,540(NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $96,926 to $184,106 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Build and apply custom Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features. Integrate Generative AI models and capabilities into production software applications, bridging the gap between Generative AI research and practical software engineering implementation. Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases, considering factors like performance, cost, maintainability, and business impact. Write high-quality code that combines traditional software engineering with AI components, ensuring robust integration, proper error handling, and comprehensive test coverage. Review and translate product requirements into technical solutions that leverage AI effectively, designing systems that seamlessly blend AI capabilities with core application functionality. Lead design and code reviews for AI-enhanced applications, ensuring best practices in both software engineering and AI implementation while maintaining Mercury standards. Lead multiple sprint teams and projects simultaneously to deliver AI-powered features and improvements, addressing technical challenges in integrating AI into existing software systems. Collaborate with product managers, data scientists, and other engineering teams to identify AI opportunities and translate them into practical software solutions. Mentor engineers on how to effectively incorporate AI into their software development practices, promoting understanding of AI capabilities and limitations. Drive practical AI adoption across teams by demonstrating how to effectively combine software engineering principles with AI technologies as well as presenting to internal tech forums to create awareness and promote education. Collaborate with product managers to estimate effort for AI-enhanced features, prioritize AI integration opportunities, and deliver measurable business value through AI implementation. Qualifications Education: Minimum: Bachelor's degree in Computer Science, Software Engineering, or related technical field Preferred: Master's degree or PhD in Computer Science, Software Engineering, or related technical field Experience: Minimum: 10+ years of software engineering experience with proven experience in cutting-edge technologies and/or those used at Mercu 5+ years hands-on experience leading large, multi-team engineering initiatives for implementing complex distributed application systems Preferred: 10+ years working at the intersection of Software Engineering and ML/AI Engineering 5+ years working on ML/AI related initiatives within engineering organizations including deploying solutions to production, evaluating ML/AI solutions, custom model training, AI/ML system design, and leveraging both closed and open source AI models Knowledge and Skills: • Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript). • Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions. • Skilled in APIs using modern protocols like REST and gRPC. • Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture. • Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure. • Experienced in leveraging DevSecOps to improve engineering efficiency. • Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable. • Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness. • Excellent problem-solving skills leading to innovative solutions. • Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results. • Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area. • Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability. • Experienced in driving technical strategy and vision for multiple teams. Pay Range USD $118,465.00 - USD $224,994.00 /Yr.

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025! An in-person interview may be required during the hiring process. Position Summary: As a Staff Software Engineer, you will provide technical leadership and direction for multiple agile teams or projects to implement prioritized software product roadmaps. This role includes designing, developing, and maintaining complex software systems, along with mentoring junior engineers. Geo-Salary Information State specific pay scales for this role are as follows: $105,245 to $199,452 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $95,677 to $181,320 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $86,110 to $163,188 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Write high-quality code for complex scenarios with good test coverage. Review and translate product requirements into robust designs to ensure high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable. Lead design and code reviews of multiple applications to ensure best practices, adherence to Mercury standards, and high quality. Lead multiple sprint teams within the same product area to deliver new or improved features, addressing any impediments in delivering high-quality solutions for items in the product backlog. Collaborate with other teams and stakeholders as necessary to ensure overall successful delivery of the intended functionality. Mentor and provide technical guidance to other engineers across multiple teams within the same functional area, fostering a culture of innovation and excellence within Mercury engineering. Collaborate with product managers to estimate effort, prioritize work, plan, and deliver prioritized roadmap items. Qualifications Education: Minimum: Bachelor's Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience. Preferred: Master's Degree in Computer Science. Experience: Minimum: 7+ years software engineering experience with proven experience in cutting-edge Technologies and/or those used at Mercury. 3+ years hands-on experience leading multi-team engineering initiatives for building features in a distributed application systems environment. Preferred: 7 or more years of experience with backend development (preferably using Java or Python) 4 or more years of experience utilizing cloud technologies (preferred AWS) 3 or more years of experience overseeing the entire development lifecycle, from architecture design and coding to testing and release 3 or more years of experience mentoring junior engineers and providing technical leadership 1 or more years of experience with generative AI Skills: Minimum: Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript). Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions. Skilled in APIs using modern protocols like REST and gRPC. Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture. Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure. Experienced in leveraging DevSecOps to improve engineering efficiency. Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable. Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness. Excellent problem-solving skills leading to innovative solutions. Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results. Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area. Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability. Experienced in driving technical strategy and vision for multiple teams. About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: ********************************************** #LI-ZK1 Perks and Benefits We offer many great benefits, including: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) Medical, dental, vision, life, and pet insurance 401 (k) retirement savings plan with company match Engaging work environment Promotional opportunities Education assistance Professional and personal development opportunities Company recognition program Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $105,245.00 - USD $199,452.00 /Yr.

As a Staff Software Engineer focused on Generative AI initiatives, you will provide technical leadership in identifying, implementing, and integrating Generative AI solutions to solve complex business problems. You will bridge the gap between traditional software engineering and AI technologies, leading teams to deliver AI-enhanced features and capabilities while mentoring engineers on practical AI adoption within existing software systems. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $105,245 to $199,452 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $95,677 to $181,320 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $86,110 to $163,188(UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: • Apply Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features. • Integrate Generative AI models and capabilities into production software applications, bridging the gap between Generative AI research and practical software engineering implementation. • Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases, considering factors like performance, cost, maintainability, and business impact. • Write high-quality code that combines traditional software engineering with AI components, ensuring robust integration, proper error handling, and comprehensive test coverage. • Review and translate product requirements into technical solutions that leverage AI effectively, designing systems that seamlessly blend AI capabilities with core application functionality. • Lead design and code reviews for AI-enhanced applications, ensuring best practices in both software engineering and AI implementation while maintaining Mercury standards. • Lead multiple sprint teams to deliver AI-powered features and improvements, addressing technical challenges in integrating AI into existing software systems. • Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities and translate them into practical software solutions. • Mentor engineers on how to effectively incorporate AI into their software development practices, promoting understanding of AI capabilities and limitations. • Drive practical AI adoption across teams by demonstrating how to effectively combine software engineering principles with AI technologies. • Collaborate with product managers to estimate effort for AI-enhanced features, prioritize AI integration opportunities, and deliver measurable business value through AI implementation. Qualifications Education: Minimum: • Bachelor's Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience. Preferred: • Master's Degree in Computer Science. Experience: Minimum: • 7+ years software engineering experience with proven experience in cutting-edge Technologies and/or those used at Mercury. 3+ years hands-on experience leading multi-team engineering initiatives for building features in a distributed application systems environment. Preferred: • 7+ years working at the intersection of Software Engineering and AI Engineering. 3+ years working on Generative AI related initiatives including leveraging closed and open source models and libraries Knowledge and Skills: • Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript). • Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions. • Skilled in APIs using modern protocols like REST and gRPC. • Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture. • Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure. • Experienced in leveraging DevSecOps to improve engineering efficiency. • Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable. • Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness. • Excellent problem-solving skills leading to innovative solutions. • Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results. • Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area. • Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability. • Experienced in driving technical strategy and vision for multiple teams. About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: ********************************************** Perks and Benefits We offer many great benefits, including: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) Medical, dental, vision, life, and pet insurance 401 (k) retirement savings plan with company match Engaging work environment Promotional opportunities Education assistance Professional and personal development opportunities Company recognition program Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $105,245.00 - USD $199,452.00 /Yr.

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025! An in-person interview may be required during the hiring process. Position Summary: As a Staff Software Engineer in Test, you will be playing a crucial role in designing, developing and maintaining complex software testing framework and tools as well as mentoring junior team members to ensure delivery. This position will be responsible for providing innovative solutions as well as implementing and prioritizing software product roadmaps. Geo-Salary Information State specific pay scales for this role are as follows: $105,245 to $199,452 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $95,677 to $181,320 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $86,110 to $163,188 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Design, Develop and Maintain Test Automation Frameworks, Tools and Libraries: Develop a strong understanding of relevant product areas, designing and proficiency implementing complex framework features. Critical Thinking and Problem-Solving Skills: Skilled in debugging and resolving simple blocking issues, especially with automation scripts, frameworks and tools. Applies analytical and creative approaches to tackle complex quality challenges with solutions. Implement/Enhance Continuous Integration Continuous Deployment (CI / CD): Enhance automation framework with CI/CD pipelines to facilitate automated testing during the build and deployment processes. Performance Testing Support: Design and implement complex performance test script based on existing automation framework and tools to execute performance tests. Provide analytical feedback for the releases in the test result report. Create new scripts to enhance performance test. Implement and Drive Automation Test Strategy: Participate in discussions to define simple test automation strategies, research and evaluate simple new technologies and determine appropriate test coverage. Analyze simple requirements and system design to determine the approach for automation implementation. Define and Enforce Automation Standards and Best Practices: Establish and Improve coding standards, best practices, and guidelines for writing and maintaining automated test scripts and framework. Review code written by team members to ensure adherence to standards and provide constructive feedback. Cross-Functional Collaboration and Communication: Work closely with cross functional teams and stakeholders to gather requirements and provide mid-complex solutions in framework to meet mid-complex testing needs in small-medium sized team. Create, Monitor and Analyze Test Results: Create, review and analyze test execution results, providing in-depth insights and mid-complex recommendations based on findings. Training and Mentorship: Train and mentor TE and SETs on using the automation framework to start writing complex automation tests. Training others to diagnose, resolve mid-complex issues and prepare proper documentation to ensure smooth operation. Qualifications Education: Minimum: Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or other related fields Or equivalent combination of education and experience. Experience: Minimum: 8+ yrs industry experience, leading testing software engineering teams for small/medium projects Preferred: 5 or more years of development experience with Java and/or Python 5 or more years of experience with broad testing experience such as API, UI, performance, etc. 3 or more years of experience creating automation frameworks 3 or more years of experience developing testing tools 1 or more years of experience integrating AI into testing Knowledge and Skills: Minimum: Knowledgeable of the following: Product Knowledge - Acquire and apply domain-specific knowledge to ensure that testing efforts align with business objectives and real-world use cases. Training, Leading, and Mentorship - Capability to train, lead and mentor junior team members in automation best practices and framework usage. Collaboration and Communication - verbal and written communication skills on executing task-specific collaboration, conveying precise technical details, responding to immediate issues, and ensure clarity in resolving project-level technical challenges Release Process and Continuous Integration/Continuous Deployment (CI/CD) - Agile software development release process, CI/CD practices and tools (e.g., Jenkins, GitHub) to integrate automated tests into the build process. Technologies - Experienced in containerization technologies. Experienced in cloud platforms such as AWS, Google Cloud, or Azure. Experienced in Leveraging DevSecOps to Improve Engineering Efficiency Develop Testing Tools, Utilities - Develop a strong understanding of relevant product areas, integrate innovative tools, libraries, and technologies into the automation framework to enhance testing capabilities. Experienced with the following: Framework Design and Development - Develop a strong understanding of relevant product areas, proficiency in designing and implementing high quality framework, that are modular, configurable, maximize reuse, are fast, effective, user friendly, secure, compliant, stable and maintainable. Create and Maintain Libraries - Proficiency in creating and maintain automated reusable libraries/components to enhance automated capabilities Performance Testing - Familiarity with performance testing concepts and tools (e.g., JMeter, LoadRunner) to assess system behavior under load. Documentation Skills - Proficiency in documenting framework architecture, components, usage instructions, presentation, and bug report, etc. Requirements Analysis - Analyze [simple/complex] system requirements and design to determine the best approach for testing of the change/implementation. Critical Thinking and Problem-Solving Skills - Debugging and resolving blocking issues, especially in automation scripts, frameworks and tools. Applies analytical and creative approaches to tackle complex quality challenges with innovative solutions. Multi-Tasking Skill with Positive Attitude - Multi-Tasking skill with willingness and positive attitude to do whatever it takes to complete tasks on time or as quickly as possible. Test Automation Tools - Experience coding with popular test automation tools and frameworks (e.g., Selenium, TestNG, JUnit, Appium, IDE, Metrics etc.). Knowledge of containerization technologies like Docker and Kubernetes. Debugging and Troubleshooting - Strong skills in diagnosing issues within the automation execution and scripts to ensure smooth operation. Best Coding Practices - Ability to conduct code reviews and provide constructive feedback to ensure quality and adherence to standards and best practice. Adaptability and Flexibility - adapt to changing requirements, code designs and implementation changes, new technologies, methods to solve problems, shift priorities, workstyle and responsibilities. API Testing - Knowledge of API testing methodologies and tools (e.g., Postman, SoapUI, Curl, Insomnia) for validating RESTful and SOAP APIs. Proficient with the following: Coding Skills - Strong knowledge of programming languages commonly used in automation, such as Java, Python, or JavaScript. Continuous Learning - Commitment to staying updated with the latest trends, tools, and technologies in test automation and quality assurance. Attention to Detail - Meticulous attention to detail to ensure high-quality automated tests and reliable framework performance. Time Management - Excellent organizational skills to manage multiple testing projects, prioritize tasks to meet deadlines. About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: ********************************************** #LI-ZK1 Perks and Benefits We offer many great benefits, including: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) Medical, dental, vision, life, and pet insurance 401 (k) retirement savings plan with company match Engaging work environment Promotional opportunities Education assistance Professional and personal development opportunities Company recognition program Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $105,245.00 - USD $199,452.00 /Yr.

**Resp & Qualifications** **PURPOSE:** Implements the engineering best practices required to produce and deploy high quality products. Ensures engineering alignment with functional and technical requirements. Handles the design, implementation, testing, and maintenance of products as assigned, ensuring that they are consistent with the company's architectural roadmap, product development strategy, and quality standards. Develops project plans with estimates and ensures development stays organized and adheres to the plan. Leads stakeholder and product owner meetings to define software requirements and creates highly complex systems. Acts as a mentor to junior engineers. **ESSENTIAL FUNCTIONS:** + Lead the strategic direction of the design, development, and implementation of multiple applications. Performs and leads the detail technical design, debugging, coding, code review and testing of new applications as well as enhancements of existing applications. Compile, assess, and report data results from software testing and analysis. Experience building cloud ready applications. Design and implement software application from both a code point of view and a deployment point of view. Demonstrated experience with front-end and back-end programing and integration frameworks and tools. Estimate the effort required to develop, test and deploy software applications + Learn and fully understand business domains and functions. Participates in collaborative meetings with internal and external stakeholders to coordinate both short- and long-term activities between business areas. Ensures that product engineering remains consistent with the company's architectural roadmap and product development strategy while improving the performance of existing software. Articulate the trade-offs, benefits and risks of proposed architecture and design solutions + Researches, analyzes, and implements best-practice engineering methodologies and processes for products. Provides technical guidance to development teams and oversee the technical aspects of the project. Provide necessary guidance to the teams related to quality engineering (Test Driven Development, Behavior Driven Development, Test automation, performance testing, building quality in from the beginning, and test data management). Develop and implement application on proposed architecture, overseeing issues such as migration. Extend open-source libraries and systems as necessary to meet the needs of the team. Play a crucial role in product scoping and roadmap / architecture discussions. Continually evaluate emerging technologies to identify opportunities, trends, and best. + Mentors more junior and senior engineers in-person or via code reviews and assists in problem solving. Provide mentorship, administrative oversight, evaluations, and personal development of junior staff. Assist the application/solution architect in the architectural vision and design process. Assist and triage production issues and propose fixes. **SUPERVISORY RESPONSIBILITY:** Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources. **QUALIFICATIONS:** **Education Level:** Bachelor's Degree in Information Technology or Computer Science OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. **Experience:** 10 years Experience in the software development life cycle (SDLC) and ensures adherence to quality and delivery management systems. **Preferred Qualifications:** + Works closely with Architects, Product Owners, Scrum Masters, and Value Stream Managers to provide insight into delivering business value and meeting objectives. + Decomposes functional and technical requirements into project activities and tasks and provides conceptual design, prototype, and test cycles appropriate to a chosen technical solution. + Identifies technical risks and develops mitigation strategies; introduces and recommends industry best practices and standards for the project. + Evaluates and assists in the selection and procurement of hardware and software technologies and serves as a mentor for junior developers. + Works with stakeholders as well as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. + Knowledge of cloud technologies (e.g. Azure, AWS) + Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.) + Fundamental knowledge of software engineers? best practices, agile methodologies, CI/CD pipelines + Knowledge of test-first practices including Test-Driven Development (TDD) for unit tests and Behavior-Driven Development (BDD) for automated acceptance tests + Strong experience with Deployment/Continuous Integration/ Continuous Testing/ Continuous Delivery processes and tools and have expertise in CI/CD tools and framework + Experience with deploying a global application including deployment and configuration management + Ensure code quality standards, deployment methodologies and practices + Knowledge of code deployment architecture and methodology + Reviewing the work of other developers and providing feedback + Ability to communicate technical requirements to all levels of expertise. + Proficient in establishing and maintaining good working relationships. **Knowledge, Skills and Abilities (KSAs)** + Works closely with Architects, Product Owners, Scrum Masters, and Value Stream Managers to provide insight into delivering business value and meeting objectives. + Decomposes functional and technical requirements into project activities and tasks and provides conceptual design, prototype, and test cycles appropriate to a chosen technical solution. + Identifies technical risks and develops mitigation strategies; introduces and recommends industry best practices and standards for the project. + Evaluates and assists in the selection and procurement of hardware and software technologies and serves as a mentor for junior developers. + Works with stakeholders as well as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. + Knowledge of cloud technologies (e.g. Azure, AWS). + Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.). + Fundamental knowledge of software engineers? best practices, agile methodologies, CI/CD pipelines. + Knowledge of test-first practices including Test-Driven Development (TDD) for unit tests and Behavior-Driven Development (BDD) for automated acceptance tests. + Strong experience with Deployment/Continuous Integration/ Continuous Testing/ Continuous Delivery processes and tools and have expertise in CI/CD tools and framework. + Experience with deploying a global application including deployment and configuration management. + Ensure code quality standards, deployment methodologies and practices. + Knowledge of code deployment architecture and methodology. + Reviewing the work of other developers and providing feedback. + Ability to communicate technical requirements to all levels of expertise. + Proficient in establishing and maintaining good working relationships. + Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging. **Salary Range:** $146,000 - $260,975 **Salary Range Disclaimer** The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements). **Department** Benefits Product Delivery **Equal Employment Opportunity** CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. **Where To Apply** Please visit our website to apply: ************************* **Federal Disc/Physical Demand** Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs. **PHYSICAL DEMANDS:** The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted. **Sponsorship in US** Must be eligible to work in the U.S. without Sponsorship \#LI-RC1 REQNUMBER: 21381

**Resp & Qualifications** Join our Platform team to play a key role in shaping CareFirsts next-generation Integration Platform, with a strong emphasis on MuleSoft as a cornerstone of our future-state architecture. This role drives innovation, defines technical strategy, and champions developer enablement to accelerate adoption of an API-first, product-based integration approach. By leveraging MuleSofts platform capabilities, you will help streamline execution, enable reusability, and deliver scalable, cost-effective solutions that power our enterprise portfolio. CareFirst is undergoing a digital transformation that demands enterprise agility and a modernized technology stack to increase speed-to-market and broaden our impact. The Integration & Interoperability organization is at the forefront of this shift, advancing Scaled Agile Framework (SAFe) practices across the enterprise. As a Sr. Platform Engineer, you will lead MuleSoft platform adoption and software transformation initiatives by analyzing, designing, and implementing integration solutions. You will guide the selection of architectures, tools, and accelerators, enable developers through best practices and reusable assets, and collaborate with stakeholders to define requirements, manage platform evolution, and ensure operational excellence. **PURPOSE:** Performs complex analysis, design, development, automated unit and integration testing, and debugging of computer software ranging from operating system architecture integration and software design to selection of computer systems, language, and/or equipment. Designs, codes, tests, develops, and documents application programs for computer systems. Works with end-users and project stakeholders to define system scope and objectives. Manages modifications to and maintenance of operational programs and procedures. Leads stakeholder and product owner meetings to define software requirements and creates highly complex systems. Acts as a mentor to junior engineers. **ESSENTIAL FUNCTIONS:** + Lead a team of software engineers in the design, development, and implementation of multiple applications. Performs and leads the detail technical design, coding, code review and testing of new applications and enhancements of existing applications. Serves as a subject matter expert for specified systems and their subsequent applications. Develop and/or analyze interface design documentation. Comply with hardware and software systems standards and procedures. Deliver large systems for tens of thousands of users. Ensures compliance to the dev/sec/ops practices and policies. Understanding of architectural practices and design. + Identifies gaps in requirements and solves problems for the supporting staff. Identifies sequencing of services and technologies that are integrated in later phases of the project. Leads the evaluation of risk and opportunity impacts to existing or proposed projects/programs and implements risk mitigation actions. Develops ways to improve performance and increase system availability. Provides recommendations to infuse new technology. Compile, assess, and report data results from software testing and analysis. + Supports the Project Manager as the technical team lead on the project. Estimates the technical costs of projects for clients and project managers. Confers with clients to identify requirements and determine desired outcomes to formulate the design of the system or offer alternatives. Demonstrated experience with front-end and back-end programing and integration frameworks and tools. Assist in the estimation of development of application features. + Leads software design and development teams. Identifies, analyzes, defines, and coordinates user, customer, and stakeholder needs and translates them into technical requirements. Manages technical resources (hardware, software, licenses, and services). Plans and leads transformation initiatives to new software architectures. Extend open-source libraries and systems as necessary to meet the needs of the team. Play a crucial role in product scoping and roadmap / architecture discussions. Continually evaluate emerging technologies to identify opportunities, trends, and best practices. Ensure code quality, deployment standards and practices. Mentoring junior developers. **QUALIFICATIONS:** **Education Level:** Bachelor's Degree in Information Technology or Computer Science OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. **Experience:** 5 years Software design and development, software test and evaluation, software requirements management. **Preferred Qualifications:** + Experience designing, developing and implementing integration solutions using MuleSoft Anypoint Platform, including API Manager, Exchange, Runtime Manager, and API Designer. + Proficient with MuleSoft Anypoint Studio for building, testing, and deploying APIs and integrations. + Experience leveraging MuleSoft Accelerators, Templates, and Adapters (e.g., Salesforce, EHR/EMR, Payment, SAP) to accelerate delivery and enable interoperability. + Strong knowledge of DataWeave for complex transformations and message enrichment across multiple data formats.Experience developing 12-factor microservices while utilizing Continuous Integration, Build, and Delivery with Spring, Spring Boot, Spring Cloud. + Experience with Spring related technologies such as Spring Core, Spring Boot, Spring MVC, and Spring Integration. + Experience in developing REST and SOAP APIs. + Experience in designing and implementing container technologies like Docker, Kubernetes. + Competency writing basic SQL queries. Oracle, Postgres experience and experience in NOSQL like MongoDB, Cassandra. + Experience utilizing platform and infrastructure-as-a-service technologies AWS, Azure Cloud and their corresponding services. + Experience with the Log Management Platforms like Elastic/ELK stack, Splunk, Azure Monitor. + Experience in writing automation scripts using Postman & Newman Collection for API/Microservices testing. + Experience with FHIR (Fast Healthcare Interoperability Resources) and HL7 standards for healthcare data exchange and interoperability. + Experience in writing automation scripts test suites in using Cucumber, TestNG, Rest Assured. + Hands on Experience with JSON, XML data formats. + Experience with iterative and incremental development on product-focused teams practicing code reviews. + Excellent verbal and written communication skills and ability to effectively communicate and translate feedback, needs and solutions. + Ability to lead in an Agile environment. + Experience in production support that has high visibility/SLA's. + Strong teamwork focus and the ability to foster collaboration within and across teams. + Creative problem-solving skills that deliver elegant solutions to complex issues. + Experience with Git workflow of release management and Project Tracking Systems (e.g., GitHub, Jira). + Proficiency in Swagger/OpenAPI Specification Knowledge and experience with designing API's based on Domain/Entity driven models. + Working Experience with Azure Kubernetes Service (AKS), Service Mesh and Containers. + Experience with OAuth Security patterns and Implementations. + Experience working in Apache Kafka/Confluent platform including Kafka consumer, Kafka Streams. + Experience working spring Batch and scheduler/task. + Experience with API proxy platforms like Apigee, Azure API Management (APIM). + Experience with Kibana and Splunk Dashboarding. + Working with Maven and Jenkins, SonarQube, Artifactory. + Proficiency Microservices multi-threading, Concurrency and parallel processing. + Experience working in UNIX environment and writing Shell scripts. **Knowledge, Skills and Abilities (KSAs)** + Works closely with Architects, Product Owners, Scrum Masters, and Value Stream Managers to provide insight into delivering business value and meeting objectives. + Decomposes functional and technical requirements into project activities and tasks and provides conceptual design, prototype, and test cycles appropriate to a chosen technical solution. + Identifies technical risks and develops mitigation strategies; introduces and recommends industry best practices and standards for the project. + Evaluates and assists in the selection and procurement of hardware and software technologies and serves as a mentor for junior developers. + Works with stakeholders as well as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. + Expert in cloud technologies (e.g. AWS, Azure). + Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.). + Fundamental knowledge of software engineers best practices, agile methodologies, CI/CD pipelines, Knowledge of test-first practices including Test-Driven Development (TDD) for unit tests and Behavior-Driven Development (BDD) for automated acceptance tests. + Strong experience with Deployment/Continuous Integration/ Continuous Testing/ Continuous Delivery processes and tools and have expertise in CI/CD tools and framework. + Experience with deploying a global application and configuration management. + Reviewing the work of other developers and providing feedback. + Ability to communicate technical requirements to all levels of expertise. + Proficient in establishing and maintaining good working relationships. + Knowledge and understanding of software development life cycle (SDLC). + Proficient with integrating complex and/or existing systems. + Knowledge of programming languages (e.g. JavaScript, C, Python, etc.). + Excellent communication skills both written and verbal. **Salary Range:** $96,552 - $191,763 **Salary Range Disclaimer** The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilites of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements). **Department** Integration - Software Product **Equal Employment Opportunity** CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. **Where To Apply** Please visit our website to apply: ************************* **Federal Disc/Physical Demand** Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs. **PHYSICAL DEMANDS:** The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted. **Sponsorship in US** Must be eligible to work in the U.S. without Sponsorship \#LI-MK1 REQNUMBER: 21242

The North America Data Analytics team at Chubb is seeking a AI Engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for delivering generative AI solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As an AI Engineer for North America Data Analytics focusing on Generative AI capabilities, you will develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building pipelines and designing architecture to facilitate generative AI capabilities. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine generative AI data processes for Chubb. In this role you will: * Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process. * Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform. * Research & implement state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc. * Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. * Integrate with data / document sources using APIs and / or data pipelines. * Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups. * Effectively communicate with key stakeholders in written, oral and presentation formats. * Required * 3+ years' experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python. * Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale. * Experience with designing scalable end-to-end Machine Learning/NLP systems. * Experience on distributed, high throughput and low latency architecture. * Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc. * Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn. * Familiarity with Continuous Integration tools such as Jenkins. * Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion. * Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills. * A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends. * Appetite for learning and keeping up to date on the latest generative AI technologies and processes * Preferred * Comfortable with command line (Linux, Windows) scripting. * Familiarity with Prompt Engineering * Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models. * Nice To Have * Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). * Exposure to technologies such as DBT, Apache AirFlow or Luigi. * Working knowledge of containers, specifically Dockerizing APIs. * Exposure to CI-CD pipelines. * Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.). * Education * Bachelor's / Master's degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus). Location: * We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT). * Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $86,400 to $148,600. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

The North America Data Analytics team at Chubb is seeking a AI Engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for delivering generative AI solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As an AI Engineer for North America Data Analytics focusing on Generative AI capabilities, you will develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building pipelines and designing architecture to facilitate generative AI capabilities. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine generative AI data processes for Chubb. In this role you will: Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process. Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform. Research & implement state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc. Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. Integrate with data / document sources using APIs and / or data pipelines. Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups. Effectively communicate with key stakeholders in written, oral and presentation formats. Qualifications Required 3+ years' experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python. Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale. Experience with designing scalable end-to-end Machine Learning/NLP systems. Experience on distributed, high throughput and low latency architecture. Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc. Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn. Familiarity with Continuous Integration tools such as Jenkins. Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion. Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills. A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends. Appetite for learning and keeping up to date on the latest generative AI technologies and processes Preferred Comfortable with command line (Linux, Windows) scripting. Familiarity with Prompt Engineering Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models. Nice To Have Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). Exposure to technologies such as DBT, Apache AirFlow or Luigi. Working knowledge of containers, specifically Dockerizing APIs. Exposure to CI-CD pipelines. Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.). Education Bachelor's / Master's degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus). Location: We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT). Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $86,400 to $148,600. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

Over the past five years, we've architected and delivered a profitable insurtech platform from the ground up, proving the impact of technical vision and flawless execution. As we accelerate our digital transformation across new business segments, we seek a senior technical leader ready to influence engineering by architecting advanced, enterprise-scale solutions using cutting-edge and emerging technologies - including GenAI - to drive the proactive design of next-generation systems. On our team, you'll be empowered to make critical architectural decisions, enforce engineering best practices, and ensure every application is built for long-term scalability, resilience, and optimal performance. Your technical leadership will shape our digital platforms, reduce technical debt, and deliver measurable business value. In this role, you will: Lead and architect mission-critical, enterprise-level technology initiatives across multiple lines of business Deliver hands-on solutions using modern programming languages (Java, C#, JavaScript, Python, C/C++, etc.) for both proofs-of-concept and production systems, using GenAI models and BMAD Drive system and data integration efforts, designing robust APIs and data/object models Influence technology strategy and evolution, ensuring best-fit solutions for complex business challenges leveraging cutting edge technology including GenAI Collaborate with stakeholders across the organization, including presenting to C-level executives to secure buy-in and set technology direction Manage goals and deliverables, demonstrating success with KPIs, OKRs, on-time/on-budget delivery, and remediation of mission-critical projects Bachelor's and/or Master's degree in Engineering or a Technical discipline 15+ years of software development and/or application architecture experience 5+ years in system/data integration 3+ years in API design and/or data/object modeling Hands-on coding experience in modern languages for both prototyping and production (Java, C#, JavaScript, Python, C/C++, etc.) Deep delivery involvement leading mission-critical initiatives and multi-system/multi-LoB architecture Up-to-date cloud expertise (certification or equivalent experience required); Azure preferred by expertise with alternate hyper-scalers like AWS, GCP, etc. is suitable Proven track record of delivering multiple projects into production, including enterprise-level digital transformation Insurance or Financial Services background is a plus The pay range for the role is $230,000 to $260,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

What you will do: We are looking for an experienced Technical Delivery Lead that is responsible for overall technology planning and delivery of the project, architectural design, end to end testing and deployment of features for the application. . The technical delivery lead will facilitate requirement analyses, conduct peer reviews and provide feedback. To be successful as a Technical Delivery Lead, you should demonstrate sound knowledge of industry best practices in global delivery, Scaled agile delivery practices and tools like JIRA, Confluence, etc., good organizational and leadership skills, and high-level architecture level proficiency in Azure Cloud, Angular, DuckCreek, .NET and API technologies. Technical certifications will be a plus. Responsibilities: Responsible for architectural design, development, testing and deployment of complete web applications in a fast-paced agile environment. Problem solver and an expert at troubleshooting and implementing creative solutions to deliver on application objectives. Work with the business product owners, business architects and other product team members to document and groom product features, user stories, and acceptance criteria in an agile development environment To analyze and understand complex problems, and generate appropriate technical solutions independently Review code, design and provide guidance to developers. Rich experience in applying design patterns and in designing application that is resilient and scalable Qualifications Required Skills and Experience: Bachelor's Degree in Computer Science, Engineering or an equivalent required Good understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system Highly skilled at collaborating with business, development and testing teams Knowledge of JIRA, Confluence, Microsoft Office tools Strong soft skills - leadership - communication - facilitation - working with many different stakeholders with conflicting requirements and needs Hands on knowledge of Duck Creek Policy v6.x, Duck Creek Author, SQL Server etc. At least 5-7 years of hands on experience in technology stack such as Microsoft.Net, Java, ASP.NET, IIS, SQL Server, HTML, XML, CSS, XSLT etc. High-level architecture level proficiency in Azure Cloud, Angular and API technologies Microsoft Azure Technical certifications will be a plus Flexible and adaptable to dynamic environment Experience in running scrum teams and scrum ceremonies Experience in Project Management and Status Reporting Rich experience in applying design patterns and in designing application that is resilient and scalable The pay range for the role is $175,000 to $225,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

Over the past five years, we've architected and delivered a profitable insurtech platform from the ground up, proving the impact of technical vision and flawless execution. As we accelerate our digital transformation across new business segments, we seek a senior technical leader ready to influence engineering by architecting advanced, enterprise-scale solutions using cutting-edge and emerging technologies - including GenAI - to drive the proactive design of next-generation systems. On our team, you'll be empowered to make critical architectural decisions, enforce engineering best practices, and ensure every application is built for long-term scalability, resilience, and optimal performance. Your technical leadership will shape our digital platforms, reduce technical debt, and deliver measurable business value. In this role, you will: Lead and architect mission-critical, enterprise-level technology initiatives across multiple lines of business Deliver hands-on solutions using modern programming languages (Java, C#, JavaScript, Python, C/C++, etc.) for both proofs-of-concept and production systems, using GenAI models and BMAD Drive system and data integration efforts, designing robust APIs and data/object models Influence technology strategy and evolution, ensuring best-fit solutions for complex business challenges leveraging cutting edge technology including GenAI Collaborate with stakeholders across the organization, including presenting to C-level executives to secure buy-in and set technology direction Manage goals and deliverables, demonstrating success with KPIs, OKRs, on-time/on-budget delivery, and remediation of mission-critical projects QUALIFICATIONS Bachelor's ABOUT US Chubb is a world leader in insurance. With operations in 54 countries, 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.