Python Data Engineer

Staffing Spot, Inc.; Phoenix (AZ); On-site; USD 110,000 - 150,000; Full time

Job summary

Staffing Spot, Inc. is seeking a Python Data Engineer / Software Engineer for capital markets to design scalable data solutions and modernize data processing pipelines. The role emphasizes Python, Pandas, SQL, and building RESTful APIs within a distributed architecture.

The ideal candidate will translate business requirements into technical specs, collaborate in an Agile team using Jira, and contribute to deployment workflows with Git and Jenkins in a fast-paced capital markets environment.

Qualifications

• Proficient in Python, with strong Pandas experience.
• Strong SQL skills; experience with SQL Server preferred.
• Experience building distributed apps and data-driven solutions.
• Familiar with relational databases SQL Server, Oracle, or DB2.
• Understanding of microservices and RESTful API development.
• Experience with Git, Jenkins, and deployment tools.
• Experience in Agile environments using Jira.

Responsibilities

• Analyze data modernization strategies and implement scalable, high-quality data solutions.
• Develop data engineering solutions using Python, Pandas, SQL, and relational databases.
• Translate business requirements into detailed technical specifications.
• Build and support distributed applications, microservices, and RESTful APIs.
• Collaborate with cross-functional teams in an Agile environment using Jira.
• Support application deployment and development workflows using Git, Jenkins, and automation tools.

Skills

Python (Pandas)

SQL

Distributed systems

RESTful API development

Microservices

Agile methodologies

Data modeling

Tools

Git

Jenkins

Jira

Job description

Job Title: Python Data Engineer / Software Engineer – Capital Markets

Key Responsibilities

• Analyze data modernization strategies and implement scalable, high-quality data solutions.
• Develop data engineering solutions using Python, Pandas, SQL, and relational databases.
• Translate business requirements into detailed technical specifications.
• Build and support distributed applications, microservices, and RESTful APIs.
• Collaborate with cross-functional teams in an Agile environment using Jira.
• Support application deployment and development workflows using Git, Jenkins, and automation tools.

Required Skills

• Strong Python programming experience, particularly with Pandas and data engineering.
• Strong SQL skills, preferably with SQL Server.
• Experience building distributed applications and data-driven solutions.
• Familiarity with relational databases such as SQL Server, Oracle, or DB2.
• Understanding of microservices architecture and RESTful API development.
• Experience with Git, Jenkins, and software deployment tools.
• Experience working in an Agile development environment.

Preferred Qualifications

• Experience in capital markets, particularly market risk or counterparty credit risk.
• Knowledge of derivatives, financial product data modeling, and risk management.
• Experience with Test-Driven Development (TDD).
• Exposure to Generative AI (GenAI) and Agentic AI.