Job Summary The Sr. Data Engineer will implement data integration architecture and solutions and design and develop ETL logic using Informatica Data Management Cloud, Snowflake and various Azure tools to support existing and future deployments. This role will work to independently solve problems and fix technical issues and be responsible for unit test construction and execution. Duties and Responsibilities - Implement data integration architecture and solutions for our Investments and Hedging delivery teams. - Design and develop ETL logic using Informatica Informatica Data Management Cloud, Snowflake and various Azure data tools to support existing and future deployments - Design and execute technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data - Collaborate directly with teammates and business partners to build technical solutions that solve problems, are reusable, scalable, fast, and maintainable through large datasets, both clean and un-clean - Work with multiple development technologies including SQL - Interact cross-functionally with other technical teams both internally and externally to implement complete technology solutions - Design and develop code to support existing and future deployments - Independently solve problems and fix technical issues - Responsible for unit test construction and execution Experience and Education Requirements - Associate’s/Bachelor's Degree (preferred emphasis in technology, engineering or math related field) or equivalent combination of education and experience - 4-7 years of experience designing, building, and supporting real-time data pipelines and analytical solutions - 2+ years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis - Strong ability to write SQL queries, Python scripts, and interpret data models - Experience with Snowflake, SQL Server and/or Oracle - Experience building data structures, solutions and products - Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines - Understanding of object-oriented analysis and design Preferred Requirements - Experience with Investments systems (e.g. Aladdin, FactSet, Clearwater, INTEX, and Bloomberg) is a huge benefit. - Exposure to key investment analytics (e.g. yield, duration) and understanding how they influence the portfolio management cycle is a huge benefit. - Experience with database modeling - Preferred to have experience in supporting data transfers from / to external organizations and internal systems using EFT (Electronic File Transfer) - Working knowledge of Informatica Cloud Data Integration, Informatica Cloud Mass Ingestion, Snowflake, Azure data tools. - Experience with database design/modeling tools such as Erwin - Experience within a Financial Services/Insurer’s IT Organization Knowledge, Skills and Abilities - Strong analytical, critical-thinking, and problem-solving skills - Fast, adaptive learner - Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Ability to manage multiple tasks and deadlines simultaneously - Exhibits flexibility and tolerance for ambiguity with the ability to thrive in a rapidly changing business environment - Results-oriented - Dedicated work ethic - Strong interpersonal communication skills, written and verbal Other Requirements - Perform other functions, duties and projects as assigned - Regular and punctual attendance - Minimal travel required (less than 10%) #LI-JB1 #LI-Remote Additional Information Work Environments F&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role. F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact talentacquisition@fglife.com. Join our employee-centric hybrid work environment: F&G Careers About F&G Since 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life’s unexpected events. As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work. 1Top Workplaces USA 2022 – 2023 2Des Moines Register Top Workplaces 2018 – 2022 Notice for all Applicants who are California residents under the California Privacy Rights Act. Please click here to review the policy.

• Apoiar a construção, modelagem e manutenção do nosso data lake nas camadas Raw, Bronze e Silver. • Desenvolver e manter pipelines de dados robustos, escaláveis e bem documentados. • Automatizar processos de coleta, transformação, entrega e distribuição de dados internos e externos. • Garantir observabilidade, qualidade, consistência e governança dos dados. • Monitorar e otimizar o desempenho de pipelines, workloads e processos de transformação. • Trabalhar em parceria com analista, cientista de dados, engenheiro e stakeholders de produto. • Apoiar áreas de negócio com dados confiáveis para tomada de decisão. • Aplicar boas práticas de versionamento, testes e CI/CD em projetos de dados.

• Design end-to-end data ecosystem architectures on Google Cloud (Data Lake, Data Warehouse, and Lakehouse); • Define ingestion, processing, and consumption patterns and frameworks to be used by engineering teams; • Ensure Governance and Security by establishing IAM policies, encryption, data lineage, and compliance (LGPD); • Optimize costs and performance (FinOps), monitoring resource usage such as BigQuery, Cloud Run, and Dataproc; • Lead technical decision-making in the selection of tools and technology stack components; • Serve as a bridge between Business and Technology, ensuring data solutions support the client's strategic objectives; • Provide technical mentorship to engineers and analysts, raising the team's maturity in cloud best practices.

You're a frontend-focused engineer who enjoys working on structured content systems and large-scale migrations within enterprise ecommerce environments. You have experience translating legacy CMS content into modern composable architectures and enjoy building scalable content models, reusable components, and performant storefront experiences. You’re comfortable working within defined templates and strict scope constraints, and you understand how to balance technical execution with SEO parity and content integrity during migrations. You collaborate effectively with designers, strategists, and developers to ensure content renders correctly across environments. This role will support a high-priority initiative to migrate hundreds of marketing and store location pages off Adobe Experience Manager (AEM) into a modern Shopify + Sanity architecture within a defined 12-week delivery window. - Implement structured content schemas and document types within Sanity Studio - Configure marketing page templates, reusable components, and structured content modules - Build and maintain preview functionality and publishing workflows for content editors - Develop frontend page templates aligned to defined layout patterns - Build reusable UI components using modern React patterns - Fetch and render content from Sanity APIs into the storefront experience - Integrate Shopify Storefront API where product data is referenced within content pages - Support migration of approximately 260 marketing pages and 600 templated store detail pages - Write or support transformation scripts to convert AEM content structures into Sanity-compatible documents - Assist with bulk content imports and validate data integrity post-migration - Collaborate with delivery, UX, and engineering teams to maintain strict scope control and timelines