Senior Data Engineer

Job not on LinkedIn

🔥 7 minutes ago

🐊 Florida, Montana, +3 more states – Remote

🐊 Florida – Remote 🦬 Montana – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ⚓ Rhode Island – Remote

💵 $142.5k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AmeriLife

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

🏥 Healthcare

💼 Consulting

💸 Finance

💰 Secondary Market on 2022-06

Healthcare • Consulting • Finance

AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.

📋 Description

• 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, including 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 • Insurance or Financial Services experience preferred • Data Vault 2.0 certification or implementation experience preferred • Experience with dbt, Terraform, and Azure DevOps preferred • Experience building metadata-driven frameworks preferred • Experience with Master Data Management preferred • Experience developing enterprise semantic models preferred • Familiarity with data quality frameworks and data governance preferred • Experience enabling AI and analytics through trusted enterprise data products preferred • Employment offer contingent upon successful background screening

🏖️ Benefits

• Discretionary annual bonus eligibility • PTO • Medical insurance • Dental insurance • Vision insurance • Retirement savings • Disability insurance • Life insurance