Python Developer

Job Title: Python Developer

Location: McLean, VA 22102 OR New York, NY 10166 (Hybrid – 3 days/week onsite)

Duration: 2 months, possible extension

Pay Rate Range: $51.26 - $63.29/Hour

Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.

Responsibilities

· Interact directly with corporate finance and accounting teams to understand, document, and drive solutions to business requirements.

· Design, develop, test and support our forecasting services within Mercury+.

· Fix defects and address technical debts to ensure best software development practices are met.

· Write clean, robust, high-quality code following best practices backed by automated unit and integration tests with >80% line coverage.

· Coordinate with the rest of the team working on different layers of the infrastructure.

· Assist with the infrastructure upgrades and adoption of new technologies.

· Commit to collaborative problem-solving, sophisticated design, and quality product.

Qualifications

· 5+ years of hands-on professional Python development experience.

· Financial/accounting acumen to understand business requirements and adequately test features that need to be delivered.

· Working knowledge of design patterns, OOP principles, data structure and algorithm optimization.

· Strong background in developing scalable applications and services based on Python frameworks such as pandas, pytest, numpy, and flask.

· Experience with build and integration tools, including knowledge of Python workflow tools, Jenkins, Git and Docker.

· Familiarity with database technologies such as SQL Server, Sybase, Redis, MongoDB and so on.

· Financial/technical knowledge may be demonstrated through education, training, and/or experience.

Preferred Skills

· Master’s degree in Computer Science or equivalent work experience.

· Experience working with large datasets and optimizing code for high performance.

· Experience writing automated unit, integration, regression, performance, and acceptance tests.