Principal Engineer Data Engineering
About the role
As a Senior Data Leader, you will design, build, and optimize our enterprise data architecture to drive strategic insights and high-impact business decisions. You will lead the development of end-to-end data pipelines, manage cloud-based data warehouses, and integrate modern DevOps and automated workflows into our data ecosystem.
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.
Please note the location is flexible within the US.
Requirements
- 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).
Qualifications
The following qualifications are preferred:
- 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).
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Schedule
- Scheduled Weekly Hours: 40
- In this remote role, you'll work from home with occasional in-person trainings and meetings.
Pay
The annual salary range for this role based on a full-time schedule is:
- $120,500.00 - $231,000.00 (varies by location)
- $120,500.00 - $210,000.00 (Colorado)
- $132,500.00 - $231,000.00 (Illinois)
This is an incentive-based position with the potential to earn more. For part-time roles, compensation will be adjusted to reflect hours.
Benefits
Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon.
- Health and wellness benefits: medical, dental, vision, short and long-term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance, and group home & auto insurance.
- Retirement and savings: matched 401(k) savings plan.
- Time off: up to 8 company-paid holidays per year, up to 6 personal days per year, and up to 15 days of vacation per year (grows with additional service).
- Family support: paid parental leave, adoption assistance.
- Education: tuition assistance.
- Other incentives and premium pay opportunities such as overtime, shift differential, holiday pay, and allowances.
For part-timers, coverage will vary and may be eligible for some of these benefits depending on individual circumstances.