Python Data Engineer – Scalable Pipelines for Finance

mthree; United States; On-site; USD 85,000 - 100,000; Full time

Benefits offered by this job

Competitive benefits package

Base pay transparency

Job summary

mthree is seeking an intermediate-level Python Developer in Data Engineering to design, build, and maintain scalable datapipelines for a major client in the United States. You’ll extract, transform, and load data, ensuring quality and performance while collaborating with cross-functional teams.

The role emphasizes distributed systems, fast-moving environments, and solving hard data challenges. You will work with Python, data libraries, and modern data tools to deliver reliable solutions on

Qualifications

• Proficiency in Python with OOP principles.
• Familiarity with data structures and algorithms.
• Experience with data libraries (Django, Flask, NumPy, Pandas).
• Familiarity with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Knowledge of ETL tools (Airflow, Kafka).
• Experience with orchestration tools and cloud platforms (Ansible, Terraform/Kubernetes, AWS, Azure, GCP).
• Familiarity with CI/CD (Git, Jenkins, GitHub).
• Hands-on Linux experience.
• Ability to troubleshoot and debug to identify root cause.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python.
• Optimize data workflows for large datasets.
• Write clean, maintainable code that meets standards.
• Develop and manage databases and applications.
• Implement ETL processes (ETL).
• Develop APIs and documentation.
• Test software at scale and ensure performance.

Skills

Python

Data Structures & Algorithms

Linux

Debugging

Problem Solving

Tools

Django

Flask

NumPy

Pandas

PostgreSQL

MySQL

MongoDB

Airflow

Kafka

Git

Jenkins

GitHub

AWS

Kubernetes

Job description

mthree is seeking an intermediate-level Python Developer in Data Engineering to design, build, and maintain scalable datapipelines for a major client in the United States. You’ll extract, transform, and load data, ensuring quality and performance while collaborating with cross-functional teams.

The role emphasizes distributed systems, fast-moving environments, and solving hard data challenges. You will work with Python, data libraries, and modern data tools to deliver reliable solutions on