Python Developer-W2

System Soft Technologies; Richmond (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

System Soft Technologies seeks a data engineering professional to develop and maintain real-time voice data ingestion pipelines and collaborate with biometrics teams on feature engineering to improve model performance. The role emphasizes stability, automation, and cross-functional collaboration with engineers, operators, and data scientists.

The candidate will implement scalable pipelines, optimize data transformation, and contribute to the overall reliability of the data ecosystem in a dynamic

Qualifications

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

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 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.

Skills

Independent working style

Proactive problem solving

Strong communication skills

Tools

Python

AWS

Snowflake

AWS Glue

PySpark

Apache Spark

Job description

• 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.

Qualifications

• 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.