Principal Data Engineer

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing...

We're looking for a seasoned Principal Data Engineer to shape the future of customer service data products for both our Verizon Consumer Group (VCG) and Verizon Business Group (VBG). In this pivotal role, you'll define, drive, and execute the strategy and vision for data products related to customer interactions (chats, calls, cases). Your mission will be to build digital and AI-first data products and analytical assets that directly enhance both the customer experience and the employee experience across Verizon's customer service teams.

You'll lead the design and development of scalable, end-to-end ETL data pipelines, with a primary focus on Google Cloud Platform (GCP). This is a hands-on position requiring deep expertise in data ingestion, curation, and product delivery. You'll leverage your proficiency in SQL, Python, and GCP's native tools such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Spanner. While GCP is our core platform, a strong understanding of diverse data ecosystems, including Teradata and Hadoop, will also be highly valued for broader architectural insights. You'll also be responsible for maintaining the quality and integrity of these critical data pipelines.

• Developing high-quality code that meets standards and delivers desired functionality using cutting-edge technology.

• Programing components, developing features, and frameworks.

• Working independently and contributing to immediate and cross-functional teams.

• Participating in design discussions and contribute to architectural decisions.

• Analyzing problem statements, break down problems, and provide solutions.

• Taking ownership of large tasks, delivering on time, and mentoring team members.

• Exploring alternate technologies and approaches to solve problems.

• Following an agile-based approach to deliver data products.

What we’re looking for...

You’ll need to have:

• 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.

• Hands-on experience in designing and building data pipelines using NiFi, Airflow, or Apache Beam in GCP (Dataproc and BigQuery) for ETL jobs.

• Experience in data warehousing, Data Lakes, and big data platforms.

• Strong leadership, communication, persuasion, and collaboration skills.

Even better if you have one or more of the following:

• Programming experience with GCP tools such as Dataproc, Cloud Shell SDK, Cloud Composer, Google Cloud Storage (GCS), Cloud Functions, and BigQuery.

• Experience collaborating with data engineers, architects, data scientists, and enterprise platform teams in designing and deploying data products and ML models in production.

• Experience in designing and deploying Hadoop clusters and various big data analytical tools, including HDFS, PIG, Hive, Sqoop, Spark, and Oozie.

• Hands-on experience implementing real-time solutions using Apache Beam SDK with Dataflow, Spark, or Flink as runners.

• Experience with real-time data streaming technologies such as Google Pub/Sub and Apache Kafka.

• Proficiency in serialization concepts and formats such as Avro, Parquet, and Protobuf.

• Experience with advanced transformations and windowing functions in real-time data processing.

• Experience with Google Dataflow templates for creating reusable and scalable data processing pipelines.

• Experience with Google Data Catalog and other Google Cloud APIs for monitoring, querying, and billing analysis for BigQuery usage.

• Experience working with at least one NoSQL database (HBase, Cassandra, Couchbase) and one relational database (Oracle, MySQL, Teradata).

• Experience on DevOps tools such as Jenkins, Artifactory and Gitlab.

• Strong problem-solving skills and the ability to empathize and maintain a positive attitude. Participation in technology and industry forums on evolving data engineering.

• Strategic thinker with the ability to apply a business mindset to data issues and initiatives, crafting cross-business strategies and plans for multiple stakeholders.

• GCP/AWS Cloud certifications.

• Familiarity with Large Language Models and a passion for Generative AI tools.

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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From 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. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. 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.

The salary will vary depending on your location and confirmed job-related skills and experience. 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.

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.