Job description
Our Company
Explore how you can contribute at AmeriLife.
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.
Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.
Job Summary
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.Job Description
What You'll Do
Enterprise Data Engineering
Design 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 Development
Build 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.
Develop scalable Lakehouse solutions.
Data Modeling
Design dimensional models for business consumption.
Build Data Vault 2.0 models for enterprise integration.
Develop semantic models and curated data products.
Support Master Data Management initiatives.
Data Quality & Governance
Implement enterprise data quality validations.
Develop metadata-driven engineering solutions.
Enable lineage, governance, and traceability.
Ensure production-ready engineering standards.
Collaboration
Partner with Architects, Product Owners, Business Analysts, and Data Scientists.
Participate in architecture reviews and code reviews.
Mentor junior engineers.
Drive engineering best practices across the organization.
Required Qualifications
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).
Deep knowledge of Delta Lake, Unity Catalog, Workflows, and Lakehouse architecture.
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.
Preferred Qualifications
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).
Experience developing enterprise semantic models.
Familiarity with data quality frameworks and data governance.
Experience enabling AI and analytics through trusted enterprise data products.
Compensation
Salary Range: $142,500 to $160,000
This role may be eligible for a discretionary annual bonus.
Salary offers will vary commensurate with experience, education, skills, and training
What AmeriLife Offers
A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.
Equal Employment Opportunity Statement
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. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.
Americans with Disabilities Act (ADA) Statement
We 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. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at .
Pay Transparency Statement
We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.
Background Screening Statement
Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.