Senior Python Developer

Our client, a Real Estate and Financial Services company, is looking for a Senior Python Developer for their McLean, VA location.


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.

• Candidate must have 5 years of hands-on experience.
• Candidates must have experience with SQL, Python , and Cloud knowledge ( AWS and
• Snowflake).
• Preferred:Tableau.
• Looking for a proactive, detail-oriented Senior Python Developer to support enterprise wide third-party divisional data integration initiative.
• 5 - 7 years of IT experience in software design, development, integration, and testing.
• 5+ years of hands-on experience with Python and microservices. Experience with popular Python frameworks such as Django and FastAPI.
• 5+ years of experience with SQL, including complex query analysis and optimization.
• 3-5 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.
• 2-3 years of experience working in the cloud environment (AWS preferrable)
• 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 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

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities