Senior Python Data Engineer

Zohorecruit; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Axiom Path is seeking a senior data engineer to join a hybrid Charlotte-based team. You will build data pipelines, APIs, and back-end services, using Python and C#, to enable scalable data processing for a financial services environment.

This role emphasizes CI/CD, cloud tooling (AWS/GCP/Azure), data quality, and collaboration with cross-functional stakeholders to deliver reliable data solutions.

Qualifications

• 10+ years of senior-level software or data engineering experience.
• Strong Python development experience in data-heavy environments.
• Strong SQL skills across relational databases and large datasets.
• Experience developing ETL pipelines and data quality, transformation, and storage optimization.
• Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
• C# development for server-side applications, APIs, or enterprise integrations.
• Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
• Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
• Financial services or capital markets experience is a plus.

Responsibilities

• Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
• Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
• Support ETL development, data quality checks, and optimization of data storage and processing workflows.
• Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
• Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
• Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.

Skills

Python

SQL

C#

CI/CD

Unit testing

Tools

AWS Glue

Azure Data Factory

APIs

Job description

Charlotte, United States | Posted on 10/05/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Job Description

Be Part Of A High-Performing Team:

Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer who can work independently while partnering closely with cross-functional stakeholders.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a long-term technical initiative within a financial services technology group. The role offers exposure to back-end engineering, ETL development, APIs, cloud data tooling, and enterprise-scale data workflows.

How You Will Make An Impact

• Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
  
• Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
  
• Support ETL development, data quality checks, and optimization of data storage and processing workflows.
  
• Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
  
• Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
  
• Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.
  

Requirements

Are you an experienced Python data engineering professional ready to make an impact?

• 10+ years of senior-level software engineering, data engineering, or back-end development experience.
  
• Strong hands-on Python development experience, ideally in data-heavy, API-driven, or enterprise back-end environments.
  
• Strong SQL skills with experience working across relational databases and large datasets.
  
• Experience developing ETL pipelines and supporting data quality, transformation, and storage optimization.
  
• Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
  
• C# development experience for server-side applications, APIs, or enterprise integrations.
  
• Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
  
• Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
  
• Financial services or capital markets experience is a plus.