Pitney Bowes Jobs

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Pitney Bowes Senior Software Engineer / Data Scientist in Stamford, Connecticut

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We actively look for prospects who:

• Are passionate about client success.

• Enjoy collaborating with others.

• Strive to exceed expectations.

• Move boldly in the quest for superior and best in market solutions.

Job Description:

Join our high-performing team and help us harness the power of 1 billion data points per week. As a Senior Data Scientist / Software Engineer, you will design, develop, and maintain data pipelines, APIs, and cloud infrastructure to support our mission-critical applications and customer-facing solutions.

You Will:

  • Architect and implement efficient data pipelines and ETL processes

  • Optimize database schemas and queries for high-volume data processing

  • Develop and deploy scalable web APIs for secure data access and manipulation

  • Build CI/CD pipelines in GitLab for deployment to AWS (EC2, Containers)

  • Collaborate cross-functionally to deliver data-driven insights and solutions

  • Continuously improve data infrastructure and processes

  • Mentor junior team members and share best practices

You Have:

  • Master's degree in data science, software engineering, or a related field

  • Extensive experience with Python programming and asynchronous techniques

  • Proficiency in C#, JavaScript, and web API development (e.g., FastAPI)

  • In-depth knowledge of database technologies, including Snowflake, SQL Server, CockroachDB, and PostgreSQL

  • Expertise in AWS services like S3, SQS, SNS, RDS, Lambda, and Step Functions

  • Demonstrated ability to develop efficient, scalable solutions

  • Skilled in database design, data modeling, and optimization

  • Experienced with version control (Git) and problem-solving

Preferred Skills:

  • Big data technologies (Hadoop, Spark)

  • Data lake platforms (Snowflake, BigQuery)

  • Container orchestration (Docker, Kubernetes)

  • Agile development methodologies

  • Data visualization tools (Tableau, PowerBI)

Our Team:

Pitney Bowes Presort Services is the largest workshare partner of the USPS® with over 30 operating sites. Our national network processes over 17 billion pieces of mail annually. We provide clients with end-to-end solutions from pick-up at their location into delivery into the postal system network, providing optimal postage savings.

Location:

Shelton, CT preferred but other locations may be a potential.

If you live in the greater Shelton or Stamford area, we offer a flexible workplace that allows for working remotely up to two days per week (M/F). This hybrid status may change based on business need.

We will:

• Provide the opportunity to grow and develop your career

• Offer an inclusive environment that encourages diverse perspectives and ideas

• Deliver challenging and unique opportunities to contribute to the success of a transforming organization

• Offer comprehensive benefits globally (PB Live Well (https://careers.pitneybowes.com/global/en/pb-live-well) )

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Women / Minorities / Veterans / LGBTQ+ / Individuals with Disabilities are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link. 

Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.

Women/Men/Veterans/Individuals with Disabilities/LGBTQ are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.

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