Senior Python Developer - Enterprise Third Party Data Integration

Work sponsorship is available for this position.

Job Title: Python Developer Senior

Locations: Onsite in Plano, TX or Mclean, VA (5 days a week)

Interview Type: In-Person

Job Overview:

Must Have Qualifications: 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.

Responsibilities:

• Work closely with Enterprise Third Party Business, MDM, and 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:

• 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.

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• 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 – 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.

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• 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

Benefits: We offer a benefits package including medical, dental, vision, and 401(k).

Compensation: $85.00 – $90.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.