Senior Software Engineer / Data Scientist

Pitney Bowes - Albany, NY

Full-time - Mid Level

Albany, NY

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

• Opportunity to grow and develop your career
• Inclusive environment that encourages diverse perspectives and ideas
• Challenging and unique opportunities to contribute to the success of a transforming organization
• Comprehensive benefits globally