• Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.) • Manage and evolve internal tools and frameworks for data ingestion and processing (e.g., Airbyte, Debezium, Airflow) • Build and maintain secure, automated CI/CD pipelines for platform components and infrastructure-as-code • Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform • Support version control, release workflows, and automation for notebooks, jobs, and tools used by data producers and consumers • Ensure high availability and performance of core data infrastructure through observability and alerting integrations • Build and apply design patterns for data architecture • Build requirements with internal clients in structured tasks

• Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.) • Data Modeling & Transformation: Design, develop, and maintain modular and scalable data models (using dbt and SQL) within our Redshift data warehouse to transform raw data into analytics-ready layers. • Manage and evolve client-faced tools and frameworks for data processing (e.g., QuickSight, Redshift Editor, Athena IDE, Metabase) • Build and maintain secure, automated CI/CD pipelines for data components and infrastructure-as-code. • Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform. • Provide development environments, standardized workflows, and tooling (e.g., Sagemaker Studio, Athena IDE, Redshift Editor, etc.) to improve developer experience. • Support version control, release workflows, and automation for data transformation, jobs, data workloads and integrations used by data producers and consumers. • Ensure high availability and performance of data tools through observability and alerting integrations. • Implement data quality and validation checks (e.g., dbt tests, unit tests). • Contribute to maintaining data catalogs and documentation for lineage and governance. • Investigate and resolve issues in data pipelines, workloads, and integrations, ensuring SLAs are met. • Documentation of data flows, architectural setup and data model.

Job Summary The Associate Data Engineer assists with the sourcing, transformation, and analysis of data and developing ETL logic to support existing and future deployments. Duties and Responsibilities - Support sourcing, transformation, and analysis by assisting senior team members in development, maintenance, and deployment of data pipelines and ETL logic - Assist in the sourcing, transformation, and analysis of data under the guidance of senior team members - Support the development of ETL logic and pipelines for existing and future deployments - Assist in the development and maintenance of data pipelines supporting a medallion architecture as part of the organization's data modernization initiatives - Participate in technical data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data - Collaborate with teammates and business partners to help build technical solutions that are reusable, scalable, and maintainable across large datasets - Develop and maintain working knowledge in data reporting, management, and transformation technologies - Actively learn new and existing tools, resources, and processes - Assist in the implementation of data architecture and solutions - Develop and deliver code under supervision to support existing and future deployments Experience and Education Requirements - Bachelor's degree in technology, engineering, a math-related field, or a related discipline with 0 years of experience required; or an equivalent combination of education and experience - 0-2 years of experience working with data structures or in a related technical role - Introductory exposure to algorithm design - Some exposure to SQL Server, IDMC, Informatica PowerCenter, Snowflake, and/or Control-M Preferred Requirements - Experience writing basic SQL queries and interpreting simple data models - Experience using database modeling concepts - Prior internship or academic project experience in a data-related field is a plus Skills and Abilities - Basic knowledge of object-oriented analysis and design concepts - Basic familiarity with ETL concepts and data integration principles - Analytical and critical-thinking mindset with a desire to develop problem-solving skills - Strong interpersonal communication skills, written and verbal - Ability to collect, organize, and analyze information with attention to detail and accuracy - Ability to manage multiple tasks and meet deadlines with guidance from senior team members - Exhibits flexibility and a positive attitude toward ambiguity in a fast-paced, changing environment - Results-oriented with a dedicated work ethic Other Requirements - Perform other functions, duties and projects as assigned - Regular and punctual attendance - Minimal travel required (less than 10%) #IND-HP #LI-MK1 #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.

• Development and maintenance of data solutions • Contribute to analysis, pipeline development, and generation of strategic insights • Work with large volumes of data, supporting data-driven decision making • Support the analysis and interpretation of complex data • Develop and evolve data models (Star Schema, Snowflake, etc.) • Build and maintain data pipelines (ETL/ELT) • Orchestrate workflows using Apache Airflow • Develop scripts in Python, SQL, and/or Scala • Work with data in Cloud environments (AWS and/or Azure) • Create dashboards and data visualizations (Power BI or similar) • Perform data cleaning, processing, and preparation • Support improvements in query and process performance • Collaborate with business and technology teams to understand requirements