Senior Data Engineer (Python) - Remote

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.We are seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data products and modern data pipelines on Databricks. This role is responsible for developing scalable, metadata-driven data solutions that power enterprise reporting, analytics, AI, operational applications, and business intelligence.The ideal candidate has deep expertise in Databricks, Apache Spark, Delta Lake, and modern Lakehouse architecture, with strong experience designing enterprise-grade data engineering solutions.Enterprise Data EngineeringDesign and develop scalable Spark-based ETL and ELT pipelines.Build enterprise data products using Medallion Architecture.Develop Bronze, Silver, Gold, and Semantic data layers.Engineer reusable enterprise data assets for business consumption.Optimize large-scale distributed data processing workloads.Databricks Platform DevelopmentBuild native Databricks solutions using Spark, Delta Lake, Unity Catalog, Workflows, SQL Warehouses, and Delta Live Tables.Optimize cluster performance and workload efficiency.Implement automated deployment pipelines and CI/CD practices.Data ModelingBuild Data Vault 2.0 models for enterprise integration.Develop semantic models and curated data products.Support Master Data Management initiatives.Data Quality & GovernanceImplement enterprise data quality validations.Develop metadata-driven engineering solutions.Partner with Architects, Product Owners, Business Analysts, and Data Scientists.Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.7+ years of Data Engineering experience.3+ years of hands-on Databricks experience.Strong expertise in Apache Spark (PySpark and SQL).Advanced SQL development skills.Experience building enterprise-scale ETL/ELT pipelines.Experience with Azure cloud services.Strong Git, CI/CD, and DevOps practices.Experience with performance tuning and optimization.Insurance or Financial Services experience.Data Vault 2.0 certification or implementation experience.Experience with dbt, Terraform, and Azure DevOps.Experience building metadata-driven frameworks.Experience with Master Data Management (MDM).Familiarity with data quality frameworks and data governance.Experience enabling AI and analytics through trusted enterprise data products.This role may be eligible for a discretionary annual bonus.Salary offers will vary commensurate with experience, education, skills, and trainingA comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. Americans with Disabilities Act (ADA) StatementWe are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com.We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential.