Job Description

Job Title: Application Analyst (Python / PyFlink / Data Engineering)

Location: Charlotte, NC
Duration: 6–9 month contract
Work Environment: Hybrid (local candidates preferred)

Position Overview

We are seeking an experienced Application Analyst / Data Engineer to support the development of an Enterprise Protective Services (EPS) Data Mart. This role will focus on building and supporting data pipelines, streaming solutions, and containerized applications within a complex enterprise environment.

The ideal candidate brings strong experience in Python, PyFlink/Flink, and Docker, along with a solid understanding of data integration and application development lifecycles.

Key Responsibilities

• Design, develop, and support scalable data and application solutions
• Build and maintain data pipelines and streaming solutions using PyFlink/Flink and related technologies
• Translate complex business requirements into user stories and technical solutions
• Break down large initiatives into manageable components and provide effort estimates
• Support testing, code migration, and deployment processes across environments
• Ensure adherence to coding standards, design principles, and source control practices
• Collaborate with product owners, business users, and cross-functional teams
• Assist with application integration and data architecture design
• Conduct code reviews and participate in design walkthroughs
• Transfer knowledge to support teams and provide ongoing technical guidance
• Ensure compliance with regulatory and enterprise standards

Required Qualifications

• Bachelor’s degree in Computer Science or related field
• 5–10+ years of experience in application development and support
• Strong experience with Python
• Experience with PyFlink / Apache Flink
• Hands-on experience with Docker (containerized environments)
• Strong SQL and database knowledge
• Experience working within the software development lifecycle (SDLC)
• Strong analytical, problem-solving, and communication skills
• Ability to manage multiple priorities and work on concurrent user stories

Desired Qualifications

• Experience with Kafka or streaming technologies
• Experience with data integration architectures (ODS, Data Warehouse, Data Mart)
• Experience with API and application integrations
• Familiarity with modern source code management tools and processes
• Experience working in regulated or enterprise environments
• Experience working with distributed or remote teams

Technical Environment

• PyFlink / Apache Flink
• Python
• Docker (Swarm mode preferred)
• SQL / Data platforms
• Kafka (optional)
• Data warehousing and integration tools

What We’re Looking For

• Strong data engineering / application development background
• Candidates comfortable working with streaming and data integration technologies
• Engineers who can design and build solutions end-to-end
• Strong communicators who can collaborate across technical and business teams