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About the Role
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.
Responsibilities
- 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.
- 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.
- 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.
- Implement enterprise data quality validations.
- Develop metadata-driven engineering solutions.
- Enable lineage, governance, and traceability.
- Ensure production-ready engineering standards.
- 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.
Requirements
- 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.
Skills
- Databricks
- Apache Spark
- Delta Lake
- Lakehouse architecture
- PySpark
- SQL
- Unity Catalog
- Workflows
- SQL Warehouses
- Delta Live Tables
- Data Vault 2.0
- Master Data Management (MDM)
- dbt
- Terraform
- Azure DevOps
- Git
- CI/CD
- DevOps
Experience Level
- Senior
Education Level
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Salary/Compensations
- $142,500 to $160,000
Benefits
- PTO
- medical
- dental
- vision
- retirement savings
- disability insurance
- life insurance
About the Company
- 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.
Equal Opportunity
- 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.
- 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 HR@AmeriLife.com.
- 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.
- 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.