Application Analyst (Python / PyFlink / Data Engineering)

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