Senior Python Developer

• Please include the following at the top of each candidate resume - Resumes without completed templates and/or vetting questions will not be considered. Responses to vetting questions are to be provided directly from the candidates. *

MSP Owner: Ashley Parker

Slots per position:1

Location: Full-time on-site in McLean, VA

Assignment Type: CTH

Scheduled End: Dec 31, 2027

Work Authorization: All candidates must be eligible to work in the United States without sponsorship and be direct W-2 employees to our vendors.

Bill Rate: *|MAX

Conversion Salary Range (if applicable):

Must Have Qualifications: 5+ years of engineering experience with at least 2 years of recent Python experience, specializing in heavy data applications. Demonstrates strong data integrity skills and proficiency in SQL, with a proven track record of leading data-focused projects.

Schedule: Standard

Shortlisting Deadline:08/05- daily shortlisting

Interview Information:

Rounds: 2 rounds

Duration: 30 minutes|60 minutes

Interview Type: MS Teams - Video Mandatory| In Person

Interview Placeholders: 08/10 at 1:00PM and 2:00PM;08/11 at 11:30 AM and 3:00PM

Interview Debrief:08/12 at 1- no suppliers;8/18 at 10:30 AM- no suppliers.

Supplier Vetting Questions:

1. Assessment or Technical screening results required.

2. Explain how you maintain your knowledge and skills in the rapidly evolving field of technology.

• Share the resources, communities, or educational opportunities you engage with to stay informed about industry trends and advancements. Discuss any recent learning experiences that have enhanced your expertise.

3. Please describe your approach to communicating and collaborating effectively across multiple groups and/or teams within an organization. Provide examples from your own experiences.

4. What was your most recent development project? What was your contribution? What tools did you use? What for?

We are seeking an experienced Senior Python Developer to join our team. The ideal candidate will have a strong background in Python development, PostgreSQL, Flask or FastAPI, and data transformation using modern data-processing frameworks. You will be responsible for designing, developing, and maintaining data-intensive applications and ETL pipelines. Experience with Informatica and scalable data transformation approaches is preferred.

Responsibilities:

Design, build, and maintain scalable Python applications for data processing and analytics.

Develop RESTful APIs using Flask or FastAPI.

Implement and optimize complex SQL queries and database structures in PostgreSQL.

Architect and maintain ETL pipelines using Informatica, ensuring data quality and integrity.

Work with large datasets, ensuring efficient data ingestion, transformation, and storage.

Develop and optimize data transformation workflows using PySpark.

Collaborate with cross-functional teams to define technical requirements and deliver solutions.

Troubleshoot and resolve issues in production environments.

Mentor junior developers and contribute to best practices.

Requirements:

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

5+ years of professional experience as a Python developer.

3+ years of experience with PostgreSQL, including database design and performance tuning.

3+ years of experience developing APIs with Flask or FastAPI.

Proven experience working with large datasets and data-intensive applications.

Experience integrating AI or machine learning models into data pipelines or applications.

Familiarity with Python-based machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.

2+ years of experience with data transformation using PySpark, Dask, Polars, etc.

Strong understanding of data modeling, data warehousing, and data integration concepts.

Experience with version control systems (e.g., Git).

Excellent problem-solving skills and attention to detail.

Strong communication and teamwork abilities.

Preferred Qualifications:

Hands-on experience with Informatica and ETL processes.

Experience with cloud platforms.

Familiarity with containerization (Docker, Kubernetes).

Knowledge of data visualization tools and techniques.

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