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Job Details


Verizon Communications Inc

Financial Data Engineer

Technology

Applications Engineer

No

Irving, Texas, United States

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

Financial Planning and Analytics Services (FPAS) at Verizon champions the deployment of progressive technology solutions and processes, to support data-driven innovation and self-serve decision management.

FPAS is currently looking for a versatile financial data engineer, with an appetite for big data in an open-source and cloud environment, to join our growing team. The critical expectation of the role is to move beyond data or services management and support architecture and deployment of progressive platforms for real-time financial analytics at scale. This position offers an opportunity to transform cloud technology adoption for advanced analytics while helping grow leadership skills. You will be considered a business partner and your contributions will make a difference. You will become involved in, but not be limited to, supporting significant decisions and new initiatives.

You will be responsible to support:

  • Architecture, development, and deployment of platforms, systems, tools, and database assets.
  • Propagation and adoption of cloud services, big data products, and open source technologies.
  • Collaboration across technology and finance teams for progressive and relevant work.
  • Compliance and adherence to governance, security, risk, and audit requirements.
  • Leveraging best practices and organization standards, to create sustainable operating frameworks, and ensure effective roll-out.
  • Agile application development services to help build a holistic self-serve analytics environment.
  • Creating standard APIs, widgets, and tools for consistent data consumption across technologies.
  • Automation of workflows and repetitive tasks, to simplify operations and increase productivity.

Where you’ll be working:

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for...

You make connections between data from different sources, and synthesize it into one complete picture. You are able to independently architect, develop, test, deploy and manage data for large-scale analytics in finance. You are able to support platform and data requirements for financial predictive analytics.

You’ll need to have:

  • Degree in Analytics, Software, Computers, Engineering, IT or a related field, or four or more years of work experience.
  • Four or more years of relevant work experience.
  • Experience using Python or SQL to work with structured and unstructured data sources.
  • Experience in at least two full-scale projects in application development, data management, business process automation, or cloud adoption
  • Experience buildingfunctions, services, apps, or widgets using big data, and deploy to cloud platforms.
  • Knowledge of at least two of the following: Python, Hive, BigQuery, Kubernetes, Docker, Glue, Dataflow, Airflow, Informatica.

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

  • A degree.
  • Experience working with large cross-functional initiatives, or adoption of open-source and cloud technologies.
  • Exceptional technical and communication skills, to present solutions in a compelling manner.
  • Good knowledge of financial analysis, reporting automation, predictive modeling, and corporate compliance.
  • Experience supporting large and complex projects with minimal or no supervision.
  • Advanced experience with at least three of GCP, AWS, Big Query, Glue, Dataflow, Airflow, Kubernetes, Docker, MLOps, REST, NoSQL, Microservices; and expertise with at least one dynamic language to build data science applications.

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.

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.

COVID-19 Vaccination Requirement

Verizon requires new hires to be fully vaccinated against COVID-19. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical, religious, or state law recognized reasons).