Principal Engineer, Data Engineering

🔥 0 minutes ago

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🤠 Texas – Remote

💵 $120.5k - $231k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Verizon

WebsiteLinkedInAll Job Openings

10,000+ employees

📡 Telecommunications

👥 B2C

🏢 Enterprise

🔥 Funding within the last year

💰 $2.3G Post IPO debt on 2025-08

Telecommunications • B2C • Enterprise

Verizon is a multinational telecommunications company that provides wireless, broadband, and network services to consumers, businesses, and government customers across the United States and globally. It operates mobile networks, fixed-line and fiber-optic broadband, and offers related products and services through retail locations and digital channels, while emphasizing innovation, community engagement, and employee development.

📋 Description

• Design, build, and optimize enterprise data architecture • Develop scalable, high-performance ETL/ELT data pipelines from diverse source systems to cloud platforms • Architect conceptual, logical, and physical data models for reporting, analytics, and business applications • Manage and modernize enterprise data storage across legacy warehouses such as Teradata and modern cloud platforms • Implement DevOps and CI/CD best practices for data pipelines • Optimize SQL queries, Python scripts, and orchestration workflows to improve throughput and reduce latency • Evaluate and integrate innovative data technologies, including AI/ML automation and advanced orchestration tools • Mentor junior team members • Collaborate with cross-functional partners • Continuously evolve data capabilities to support strategic insights and high-impact business decisions

🎯 Requirements

• Bachelor’s degree or four or more years of work experience • Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training • Five or more years of hands-on ETL/ELT data pipeline development experience • Demonstrated experience in data modeling, data warehousing, and system architecture • Expert-level proficiency in SQL and Python • Hands-on expertise with AWS and/or GCP • Experience with workflow orchestration and integration tools such as Apache Airflow and Talend • Familiarity with traditional data warehouse platforms such as Teradata • Experience implementing DataOps practices using Git, Jenkins, and automated testing frameworks • Experience leveraging AI/ML tools or generative AI techniques in data engineering workflows • Cloud or Data Engineering certifications are advantageous • Ability to work from home with occasional in-person trainings and meetings

🏖️ Benefits

• Medical, dental, and vision benefits • Short- and long-term disability insurance • Basic and supplemental life insurance • AD&D insurance • Identity theft protection • Pet insurance • Group home and auto insurance • Matched 401(k) savings plan • Up to 8 company-paid holidays per year • Up to 6 personal days per year • Paid parental leave • Adoption assistance • Tuition assistance • Other incentives • Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances • Up to 15 days of vacation per year for newly hired employees, increasing with service • Occasional in-person trainings and meetings while working remotely