Job Title: Staff Data Engineer Company Name: Asurion Job Url: https://asurion.wd5.myworkdayjobs.com/asurioncareers_us/job/US-Headquarters/Staff-Data-Engineer_ASU0019523-1 Job Description: Staff Data Engineer Apply remote type Remote, USA locations US-Headquarters Sterling - Pacific Boulevard time type Full time posted on Posted Yesterday job requisition id ASU0019523 The Staff Data Engineer leads the design and delivery of scalable data solutions that power analytics, reporting, and machine learning. This role sets technical direction for data platforms, implements robust pipelines, and establishes engineering standards to improve reliability and speed. The position partners with product, analytics, and security to translate business needs into resilient data architectures. Responsibilities include optimizing cloud data infrastructure, governing data quality, mentoring engineers, and driving continuous improvement. The Staff Data Engineer balances strategy with hands-on execution to ensure trusted, timely, and secure data is available across the enterprise. Title: Staff Data Engineer Business Function: Product Development Department: Enterprise Data Services Location: Nashville, TN or Sterling, VA (Hybrid) Position Overview As a Staff Data Engineer, you will lead the design and delivery of scalable, high-quality data pipelines that power analytics and reporting across the enterprise. This role combines deep hands-on engineering with technical leadership, driving best practices for data ingestion, transformation, and data modeling. You will play a critical role in building and optimizing data solutions using Databricks, Delta Lake, cloud-native technologies (AWS), ensuring reliable and efficient movement of data from source systems to curated data assets. This position focuses on delivering well-structured, trusted data through robust pipeline development and modern data engineering practices. You will also leverage AI-assisted development tools to improve coding efficiency, validation, and documentation. Essential Duties and Responsibilities Lead the design and development of scalable data pipelines and data products using Databricks, Spark, and Delta Lake Develop and optimize data transformations and ELT workflows using SQL and Python Design and implement data models and curated datasets to support analytics and reporting use cases Ensure data quality, consistency, and reliability through validation, monitoring, and testing practices Optimize pipeline performance, scalability, and cost efficiency within AWS environments Apply best practices for data partitioning, storage optimization, and query performance tuning Collaborate with product, analytics, and business teams to translate requirements into efficient data solutions Provide technical leadership and mentorship to engineers, including code reviews and design guidance Leverage AI tools for coding, validation, and documentation assistance to enhance productivity and code quality Troubleshoot and resolve data pipeline failures, latency issues, and data inconsistencies Continuously evaluate and improve data engineering workflows and tooling Here’s What You’ll Bring to the Team 8+ years of experience in data engineering or data pipeline development Strong hands-on experience with Databricks, Apache Spark, and Delta Lake Advanced proficiency in SQL and Python for building and optimizing data pipelines Experience developing robust ETL/ELT pipelines and handling complex data transformations Hands-on experience with AWS cloud services (e.g., S3, EMR, Lambda, Glue, Redshift, Kinesis) Strong understanding of data modeling and data warehousing concepts Experience working with large-scale datasets (TB+ or greater) in distributed environments Knowledge of data quality frameworks, validation techniques, and monitoring practices Familiarity with CI/CD pipelines and modern development workflows Experience using AI-assisted development tools for code generation, validation, or documentation Strong problem-solving skills with the ability to debug complex data issues Leadership & Impact Acts as a technical leader and subject matter expert in data pipeline development Drives best practices for pipeline design, data transformation, and reliability Mentors engineers and elevates team capabilities through hands-on guidance and reviews Leads complex, cross-functional data initiatives with measurable business impact Balances hands-on execution with technical leadership Required Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field 8+ years of relevant experience in data engineering Proven experience leading technical initiatives or large-scale data pipeline projects Preferred Qualifications Master’s degree in a technical field Experience in large-scale, enterprise data environments Cloud certifications (AWS, Databricks) About Asurion Asurion helps people protect, connect, and enjoy the latest tech—making life a little easier. Every day, our team supports nearly 300 million customers worldwide, solving everyday tech challenges through innovative solutions and world-class service.