Senior Python Developer

Location Must be onsite either in Plano, TX or McLean, VA for 5 days a week (Monday to Friday) Duration Long Term Interview Mode In-Person interview Job Description Looking for a proactive, detail-oriented Professional Python Developer to support enterprise-wide third-party divisional data integration initiative. Responsibilities Work closely with Enterprise Third Party Business, MDM, and I&CM BTO support teams to support technology delivery activities in support of Enterprise Third Party Risk Reporting. Work with cross functional teams on data model development, design of data integration architecture and solution implementation Collaborate with stakeholders to understand their needs and gather detailed business requirements. Basic Requirements 12-15 years of IT experience in software design, development, integration, and testing. 12-15 years of hands‑on experience with Python and microservices. Experience with popular Python frameworks such as Django and FastAPI. 3+ years of experience with SQL, including complex query analysis and optimization. 1–3 years of experience with relational and cloud databases (e.g., Snowflake, PostgreSQL) and SQL/NoSQL technologies. Experience analyzing and joining large datasets across multiple sources. Experience in API development and integration, including building and consuming REST-based services for data-driven applications. 3–5 years of experience managing, building, and deploying code using tools such as Jira, Eclipse, GIT, Bitbucket, Gradle, Docker, and Jenkins. 3–5 years of experience designing and executing unit tests using Python testing frameworks based on business requirements and functional specifications. In-depth understanding of Python software development stacks, ecosystems, frameworks, and tools (e.g., NumPy, SciPy, Pandas, Dask, spaCy, NLTK, scikit-learn). 2 to 3 years of experience building data processing pipelines using tools such as Apache Airflow, dbt, or similar. Experience integrating and ingesting data from multiple sources and designing large-scale data migration and transformation pipelines using PySpark, Databricks, or Airflow. Bachelor’s degree in computer science or related field. Preferred Skills Tableau and other reporting tools experience is a plus Experience with OAuth implementation using PING Identity. Work independently contributing to the success of assigned project(s). Ability to design and lead implementation efforts, collaborating with DevOps, technical teams, business stakeholders, and external vendors. Demonstrated business acumen, problem solving skills, intellectual maturity, and relationship management skills. Experience with ETL tools and data pipeline orchestration #J-18808-Ljbffr Unisys