[Remote] Principal Engineer Data Engineering
Note: The job is a remote job and is open to candidates in USA. Verizon is a telecommunications company focused on connecting people and enabling how they live, work, and play. The Principal Engineer, Data Engineering will design, build, and optimize enterprise data architecture, leading scalable data pipelines, cloud data warehouses, data models, and automated DevOps workflows. The role also involves modernizing data infrastructure, optimizing SQL and Python processes, integrating emerging technologies, and mentoring team members.
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 Google Cloud Platform)
- * 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, Google Cloud Platform Professional Data Engineer)
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Short-term disability insurance
- 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
- Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
- Up to 15 days of vacation per year for newly hired employees, growing with additional service
- Remote work from home with occasional in-person trainings and meetings
Company Overview
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