Pitney Bowes - Stamford, CT

posted 8 days ago

Full-time - Senior
Stamford, CT
Machinery Manufacturing

About the position

As a Senior Software Engineer / Data Scientist at Pitney Bowes, you will play a crucial role in designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure to support mission-critical applications and customer-facing solutions. This position requires a blend of software engineering and data science skills to optimize data processing and deliver data-driven insights.

Responsibilities

  • 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

Requirements

  • 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

Nice-to-haves

  • Big data technologies (Hadoop, Spark)
  • Data lake platforms (Snowflake, BigQuery)
  • Container orchestration (Docker, Kubernetes)
  • Agile development methodologies
  • Data visualization tools (Tableau, PowerBI)

Benefits

  • Flexible workplace allowing for remote work up to two days per week
  • Opportunity for career growth and development
  • Inclusive environment that encourages diverse perspectives and ideas
  • Comprehensive benefits globally
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