Job Description

Salary: $85,000 - 100,000 per year Requirements:

• We are looking for candidates with strong Python skills and a solid grasp of object-oriented programming.
• We value familiarity with data structures and algorithms, along with practical application of those concepts.
• We prefer experience with data-focused libraries and frameworks such as Django, Flask, NumPy, and Pandas.
• We look for knowledge of relational databases like PostgreSQL or MySQL, as well as NoSQL options such as MongoDB.
• We seek familiarity with data storage solutions including data lakes and distributed file systems.
• We prefer exposure to ETL tooling such as Apache Airflow and Apache Kafka.
• We value experience with orchestration and cloud platforms such as Ansible, Terraform, Kubernetes, AWS, Azure, or GCP.
• We look for familiarity with modern CI/CD tools and workflows such as Git, Jenkins, and GitHub.
• We expect hands-on experience with Linux.
• We want demonstrated troubleshooting and debugging ability with a focus on identifying root cause.
• We value creative problem-solving and the ability to think beyond standard approaches.
• We are seeking 1-4 years of software development experience with a focus on Python and data.
• Applicants must be currently authorized to work in the United States on a full-time basis.

• We design, develop, and implement software applications and scalable data pipelines using Python and related technologies.
• We optimize data workflows to efficiently process large datasets.
• We write clean, efficient, and maintainable code aligned with industry standards.
• We develop and manage databases and applications.
• We implement ETL processes for data extraction, transformation, and loading.
• We write and document effective APIs.
• We test software at scale to ensure responsiveness and efficiency.
• We ensure data accuracy, consistency, and completeness.
• We identify and resolve data issues and anomalies.
• We collaborate with team members, stakeholders, and other developers to define requirements and create technical solutions.
• We participate in code reviews to maintain code quality and best practices.
• We troubleshoot, debug, and upgrade software.
• We identify and fix performance issues and bugs.
• We contribute to code and project documentation.

• Airflow
• AWS
• Ansible
• Azure
• CI/CD
• Cloud
• Django
• ETL
• Flask
• GCP
• Git
• GitHub
• Jenkins
• Kafka
• Kubernetes
• Linux
• MongoDB
• MySQL
• NoSQL
• PostgreSQL
• Python
• Terraform
• numpy
• pandas
• DevOps
• Support
• Security

More:

We are collaborating with mThree to connect exceptional professionals with this role. This is an opportunity to join a dynamic team supporting a client in the financial technology space as an intermediate-level Python Developer in Data Engineering. We work with globally distributed teams and deliver projects across financial services, including consulting, advisory, managed services, and graduate and professional programs. Our environment is fast-moving and collaborative, with a strong emphasis on learning, ownership, inclusion, and professional growth. We offer competitive compensation, with a base pay rate of $85,000-$100,000 USD, alongside a comprehensive benefits package. The role is based on-site with the client, and we are looking for local candidates.

last updated 37 week of 2026

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