Senior Data Engineer

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

What you’ll be doing...

We are seeking an experienced data engineer with telecom and wireless expertise to join our team in a role as a Senior Data Engineer. As a senior data engineer you will be focusing on collecting data from multiple sources in various formats and loading the data using various tools and frameworks as required. You will be expanding and optimizing data and the data pipeline architecture. You will also be working with partners to understand requirements and effectively prioritize for their implementation. You will leverage your deep hands-on expertise in cloud solution, data and insight to build solutions that support key functions like marketing, service assurance, and sales. This is a high-impact role shaping the future of our cloud data and AI platforms. The Ideal candidate is a driven technical candidate who will help with data engineering research initiatives that will shape the future of our data infrastructure. As a Senior Data Engineer, you will help explore cutting-edge technologies and techniques to build next-generation data platforms that power our products, operations, and strategic growth. Responsibilities include...

• Developing data pipelines, warehouses, and machine learning solutions to power marketing, network operations, customer insights, and other telecom use cases.

• Processing large amounts of structured and unstructured data, including integrating data from multiple sources.

• Building secure, scalable, and stable data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.

• Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: Enterprise system data architecture, data design, data persistence technologies, data processing, data management, and data analysis.

• Participating in projects to productionize promising technologies like distributed computing, streaming analytics, and cloud-native data patterns in our environment

• Building, and producing petabyte-scale data pipelines, lakehouses, and machine learning infrastructure on Google Cloud Platform leveraging tools like BigQuery, Dataflow, Dataproc, and Vertex AI.

• Handling massive datasets related to call records, network traffic, customer usage, and other telecom data sources

• Building execution plan for migration to efficient tech stack

• Data Engineering Cloud Cost/Operation Optimization

• Analyzing cloud spending across data platforms and identify optimization opportunities

• Right-size data infrastructure resources based on usage analytics and workload profiling

• Implementing automation and policies to eliminate waste, stop unused resources, increase efficiency

• Promoting workload best practices for cost-efficient data systems.

• Developing cost awareness initiatives such as chargebacks, show backs, and financial training

•  Driving major technical initiatives and architectural decisions for the data platform, analytics, and AI

•  Continuously improve engineering best practices related to data security, testing, CI/CD, and reliability of large-scale distributed systems on the cloud.

• Developing and promoting standards for high-quality, well-tested, maintainable code. Foster a culture of technical excellence.

Where you'll be working...

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

What we’re looking for...

You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes.

You'll need to have:

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

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

• Master's degree.

• Certification on data engineering tools and technologies.

• Experience in data engineering tools and technologies.

• Experience troubleshooting data issues.

• Experience in complex SQL.

• 10 years of industry experience in data engineering, analytics, and production machine learning systems.

• Deep hands-on experience with Hadoop/Google Cloud data services: Spark, Hive, BigQuery, Dataflow, Dataproc, PubSub, Storage, CloudFunctions, Cloud Run.

• Deep knowledge of large-scale distributed data architecture patterns and performance optimization techniques.

• Deep expertise in building data pipelines, warehouses, and machine learning solutions to power marketing, network operations, customer insights, and other telecom use cases.

• Proficiency in developing complex data pipelines, ETLs, and workflows on cloud platforms optimized for high volumes of telecom data.

• Expertise in designing modern data architecture using Fivetran or Matillion, dbtlabs or dataform, BigQuery, DatabrickSQL, Snowflake

• Knowledge of tools like Composer, Spark, Kafka, BigQuery, Dataform, Azure Data Fabric, Databricks, Snowflake

• Expertise in Open source Data Technologies in processing, storage, data quality - Cloudera Hadoop, Presto HUDI, Iceberg, Delta Lake, Apache Flink, GreatExpectations, Airflow, Kubernetes, Kafka

• Proficiency using platforms like Hadoop, GCP, AWS, or Azure.

• Proficiency with CI/CD tooling like Jenkins, Airflow, Kubernetes, and Git/GitHub to enable robust development pipelines for data and ML

• Experience with large cluster, databases, BI tools, data quality and performance tuning.

• Experience working on cloud technologies.

• Excellent written and spoken communication skills.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.

• We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.

• Your benefits are market competitive and delivered by some of the best providers.

• You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.

• We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.

• Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.

• You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

Your benefits package will vary depending on the country in which you work.

*subject to business approval

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.

Scheduled Weekly Hours

Equal Employment Opportunity 

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.