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
Even better if you have one or more of the following:
- 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).
Note: 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 the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.
The annual salary range for the Colorado location(s) based on a full-time schedule is: $120,500.00 - $210,000.00.
The annual salary range for the Illinois location(s) based on a full-time schedule is: $132,500.00 - $231,000.00.
This is an incentive-based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
Benefits
- Health and wellness benefit options including: 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.
- Matched 401(k) savings plan.
- Up to 8 company-paid holidays per year and up to 6 personal days per year.
- Paid parental leave, adoption assistance, and tuition assistance.
- Other incentives.
- Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.
- For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.