Note: The job is a remote job and is open to candidates in USA. Verizon is a telecommunications company that connects people and businesses through communications technology. The Principal Engineer Data Engineering role leads enterprise data architecture, builds scalable data pipelines and models, manages cloud and legacy data platforms, and integrates DevOps, automation, and emerging AI/ML technologies.
Responsibilities
- Designing and building scalable, high-performance ETL/ELT data pipelines from diverse source systems to cloud platforms
- Architecting robust data models (conceptual, logical, physical) that support reporting, analytics, and advanced business applications
- Managing and modernizing enterprise data storage, driving seamless performance across legacy data warehouses (such as Teradata) and modern cloud platforms
- Implementing DevOps and CI/CD best practices for data pipelines to ensure continuous, automated, and reliable data delivery
- Optimizing SQL queries, Python scripts, and orchestration workflows to improve system throughput and decrease processing latency
- Evaluating and integrating innovative data technologies, including AI/ML automation and advanced orchestration tools, into our data infrastructure
Skills
- Bachelor's degree or four or more years of work experience
- Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training
- Five or more years of hands-on experience in **ETL/ELT data pipeline development**
- Demonstrated experience in **Data Modeling, Data Warehousing, and System Architecture**
- Expert-level proficiency in **SQL** and **Python**
- Hands-on expertise with **cloud platforms** (AWS and/or GCP)
- A degree in Computer Science, Data Engineering, Information Systems, or a related technical field
- Experience with workflow orchestration and integration tools such as **Apache Airflow** and **Talend**
- Strong familiarity with traditional data warehouse platforms like **Teradata**
- Proven background implementing **DevOps practices for data (DataOps)** using **Git**, **Jenkins**, and automated testing frameworks
- Experience leveraging **AI/ML tools or generative AI techniques** within data engineering workflows (e.g., automated data quality checks, smart ingestion, or AI-assisted code generation)
- Cloud or Data Engineering certifications (e.g., AWS Certified Data Engineer, GCP Professional Data Engineer)
Benefits
- Medical, dental, and vision coverage
- Short- and long-term disability insurance
- Basic life insurance
- 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 such as overtime, shift differential, holiday pay, and allowances, depending on the role
- Newly hired employees receive up to 15 days of vacation per year, which grows with additional service
- Remote work from home with occasional in-person trainings and meetings
Company Overview
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