Data Engineer 2

The Data Engineer 2 designs, builds, and maintains reliable data pipelines and storage solutions that enable analytics and reporting. This role develops scalable batch and streaming processes, optimizes data models, and ensures data quality, security, and performance across environments. The position collaborates with analysts, data scientists, and software teams to deliver well-documented, testable, and production-ready data assets. The engineer contributes to standards, monitors pipelines, and supports incident resolution to meet service and compliance expectations. ESSENTIAL JOB SKILLS/DUTIES Design and implement scalable data pipelines. Develop and optimize data models. Automate ingestion, transformation, and validation. Monitor, troubleshoot, and resolve pipeline issues. Document datasets, lineage, and standards. Collaborate with analytics and product teams. REQUIRED TECHNICAL SKILLS Data Engineering Programming: Designing and maintaining scalable data processing systems using modern programming languages and frameworks, following engineering best practices. Data Engineering Programming: Builds and maintains defined data pipeline components using standard frameworks. Pipeline Ownership: Owns small batch or streaming pipelines end-to-end, ensuring stability, monitoring, and documentation. Data Modeling: Designs structured, scalable schemas aligned to defined analytics and reporting needs. Ingestion Into Platform: Implements reliable ingestion pipelines for structured and semi-structured data sources. Production Reliability: Monitors pipeline health, responds to alerts, and addresses defined reliability issues. Scale & Performance Tuning: Optimizes queries and pipeline components for efficiency and cost-effectiveness. Data Product Enablement: Prepares structured, well-documented datasets for defined analytical and reporting use cases. REQUIRED SOFT/LEADERSHIP SKILLS Clear, concise technical communication. Collaborative, cross-functional teamwork. Ownership of deliverables and timelines. Structured problem solving and prioritization. Continuous learning and adaptability. REQUIRED EDUCATION & EXPERIENCE Bachelor's degree in STEM field. Three or more years in data engineering. Experience building production data pipelines. Experience with cloud and orchestration tools. PREFERRED EDUCATION & EXPERIENCE Master's degree in data-related field. Experience with lakehouse architectures. Experience supporting data science workflows. SUPERVISORY RESPONSIBILITIES No direct reports. Mentors peers on standards and practices. Use this site to view the status of applications you’ve submitted and to take action on important tasks related to those applications. Asurion is a global tech solutions industry leader that creates a work culture where employees are valued, regardless of their level or position. Our products and services help nearly 300 million customers worldwide. The Asurion Way informs our values as colleagues and emphasizes that how we work matters just as much as the work itself. Here’s how we practice the Asurion Way: Customer First We provide our customers with excellent service through empathetic, helpful, and simple interactions. Our first step? To listen. One Team We believe that our success depends on collaborating, staying humble, and embracing diverse viewpoints. Divine Discontent We're not afraid to roll up our sleeves and do more. We start small, scale with success, and tap into our full potential to deliver the best products and services. Act with Integrity We take ownership and pride in the work we do. We build trust-based relationships and do what's right-even when no one is looking. Asurion is an equal opportunity employer. We hire the best available person for the job regardless of marital status, sex, gender orientation, age, religious belief, race, nationality and ethnic origin, color, or disability.