• Design, build, and optimize scalable backend services supporting both traditional search and AI-powered search systems. • Own the architecture of search-related systems to ensure high reliability, performance, and scalability. • Develop reusable backend frameworks and infrastructure to accelerate search and AI product development. • Collaborate closely with data scientists and AI engineers to enable LLM-powered search, ranking, and agent capabilities. • Continuously improve search performance, including indexing, retrieval, ranking, and latency optimization. • Translate business needs into scalable search solutions. • Drive execution and deliver results in complex or evolving environments.

• Oversee the operational health of the platform. • Maintain and enhance monitoring, logging, and alerting solutions to proactively identify and resolve issues. • Lead incident response and perform root cause analysis for platform-wide problems. • Maintain and enhance the core components of our Azure Databricks environment. • Define the strategic roadmap for the platform, including the adoption of new features and best practices. • Manage the enforcement and enhancement of data security and governance policies. • Implement strategies for cost management and performance tuning at a platform level. • Maintain and enhance automated solutions for provisioning and managing Databricks workspaces. • Serve as a subject matter expert and mentor to other data engineers. • Partner with data engineering and business teams to understand their needs. • Oversee and direct the efforts of 2 platform engineers.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mutual of Omaha's Data Engineers focus on data warehouses and data integration with our next-gen insurance and financial applications. On this team, you will work to modernize the data platform and tools used by our actuarial teams for evaluations, projections and other key functions. If you are an experienced engineer who is excited by new challenges, apply today to shape the future of Mutual of Omaha for our associates and customers! What You'll Do - Research, design, build, optimize, test, integrate, and maintain reliable, efficient and accessible data systems, data pipelines, and/or models as defined by the product owners and business teams. - Support, with initial guidance, the analytic and/or operational use of data. - Collaborate with business owners to optimize data collection, storage and usage to maximize the value of information within supported systems. - Translate business needs into data architecture solutions, designing and implementing in production environments within supported data systems. - Deploy applications to production in partnership with business units. Qualifications - 5+ years of experience solving build, development, and implementation challenges using Informatica Power Center/IDMC, SQL, Snowflake, Teradata, Python, and Github Integrations. - Experience working in Agile methodology (SAFe) and familiarity with Jira. - Knowledge of ETL/ELT. - Data Warehouse Design, Data Modeling and Integration. - Ability to maintain data quality through systematic approaches and methodologies (e.g. MDM) within supported data systems. - Promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do. - Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico. - Ability to work at our home office located in Omaha, Nebraska, in a hybrid environment. Preferred - Experience in Erwin, Control M, Artificial Intelligence (AI). - Amazon Web Services such as S3, Glue for Data Processing. - Knowledge of the insurance industry including products relevant to Mutual of Omaha. Salary and Benefits - Estimated Salary (Levels have variable responsibilities and qualifications): - Engineer I: Minimum: $84,500 MidPoint: $112,000 Maximum: $139,500, plus annual bonus opportunity. - Engineer II: Minimum: $99,000 MidPoint: $133,500 Maximum: $168,000, plus annual bonus opportunity. - Engineer III: Minimum: $110,000 MidPoint: $146,000 Maximum: $182,000, plus annual bonus opportunity. - 401(k) plan with a 2% company contribution and 6% company match. - Work-life balance with vacation, personal time and paid holidays.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Seeking a highly skilled ETL Developer / Data Warehouse Architect to support the design, modernization, and expansion of a secure enterprise data analytics environment. This role combines hands-on ETL development with data architecture responsibilities, supporting audit analytics, fraud detection initiatives, business intelligence reporting, and secure inter-agency data exchanges within a government environment. - Review and modernize existing ETL processes and ingestion pipelines - Architect scalable enterprise data warehouse frameworks - Design systems to ingest structured and unstructured datasets - Implement and migrate ETL environments including fact and dimensional models - Develop dimensional models aligned with user story requirements - Build enterprise data models supporting audit analytics and fraud detection - Optimize warehouse performance for reporting and analytics use cases - Develop and maintain ETL processes integrating: - Flat files - Direct database connections - XML transactions - External data feeds - Implement ETL pipelines using tools such as Qlik, Informatica, or equivalent - Perform SQL and PL/SQL development for complex transformations - Support ingestion of new and acquired datasets - Maintain secure data interchange systems - Ensure secure transfer and validation of inter-agency data exchanges - Support Tableau and Oracle Business Intelligence (OBIEE) dashboard development - Design ETL processes optimized for Tableau reporting environments - Assist with Tableau Server administration (preferred) - Translate business user stories into analytics-ready datasets - Ensure BI performance, data accuracy, and reporting integrity - Partner with auditors and analytics teams to validate datasets - Troubleshoot transformation issues and data discrepancies - Support data quality initiatives - Apply statistical techniques to support fraud detection and performance analytics - Develop analytics-ready datasets - Assist in building secure data analytics infrastructure - Support ETL environment migration - Align pipelines with governance and security standards - Ensure compliance with audit and fraud prevention protocols Qualifications - Bachelor’s degree in Computer Science or related IT field (Master’s or Doctorate preferred but not required) - 4+ years developing and maintaining data interchange systems integrating: - Flat files - Direct database connections - XML transactions - 4+ years experience with ETL tools (Qlik, Informatica, or equivalent) - 4+ years of data modeling experience (dimensional modeling, star schemas, fact tables) - 4+ years building ETL environments supporting analytics - 4+ years of advanced SQL development Requirements - Python scripting experience - Tableau Server administration - Experience gathering business requirements and validating data - Formal statistics coursework or applied statistical experience - PL/SQL development experience - Experience building ETL environments optimized for Tableau - Government data analytics experience - Experience supporting audit or fraud analytics initiatives - Experience with secure data governance and compliance environments Company Description