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Python Developer (Data Engineering focus)

SYSTEM SOFT TECHNOLOGIES LLCRichmond, VA🇺🇸United StatesPosted Sep 10, 2026

Why This Role Stands Out

This hybrid Python Developer role offers an exciting opportunity to build critical data pipelines and directly contribute to the performance of biometrics models, providing significant career growth in data engineering. You'll thrive here if you're a proactive, independent problem-solver with strong Python and AWS skills, eager to collaborate across teams in a dynamic environment. Apply now to leverage your expertise and make a tangible impact!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Richmond, VA, United States
Posted
1 week ago
AWSSnowflakeApacheApache SparkPython

Job Description

Hello,

Hope you are doing well, This is Santhosh from SYSTEM SOFT TECHNOLOGIES. Please go through the below position and let me know your interest.

Python Developer

Open for hybrid -Richmond or McLean VA, Dallas, TX, Chicago, IL

Here is a summary and structural breakdown of this new 5-month contract role for a Python/Data Engineer.


Key Job Details

Role: Python Developer (Data Engineering focus)

Core Project Scope & Responsibilities

Voice Ingestion Pipeline: Ingest real-time voice data from a specific target source, process it, and safely convert/integrate it into the Capital One data ecosystem.

Model Feature Engineering: Collaborate directly with Data Scientists running biometrics models to build out new feature sets that continuously improve model performance and accuracy.

Platform Stability & Automation: Partner with the backup operations team to maintain system stability, while proactively looking for architecture opportunities to automate the ingestion and transformation processes.

Technical Skill Set Requirements

Must-Haves: High proficiency in Python, AWS, Snowflake, and AWS Glue.

Strong Plus: PySpark / Apache Spark for distributed data processing, Complex data modeling (most core data models and pipelines are already built and established).

Soft Skills: Highly independent working style, proactive problem solver, and strong communication skills to sit between engineers, backup operators, and data scientists.

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