Senior Python Developer

Location

Must be onsite either in Plano, TX or McLean, VA for 5 days a week (Monday to Friday)

Long Term

In-Person interview

Looking for a proactive, detail-oriented Professional Python Developer to support enterprise-wide third-party divisional data integration initiative.

• 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.

• 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/No
  
  SQL 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., Num Py, Sci Py, 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.

• 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 Dev Ops, 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