Data Engineer (Hybrid - Contract To Hire)

TEKsystems•Wilmington, DE

23h•$60 - $83•Hybrid

About The Position

A data and engineering team is seeking a Full Stack Developer with strong expertise in Python, PySpark, and AWS to build scalable data solutions that support chatbot automation, data pipelines, and backend endpoints for user interface components. This role focuses on creating reliable backend services, developing cloud‑native applications, and working closely with cross‑functional teams such as engineers, analysts, strategists, and domain experts. The goal is to transform complex marketing and operational data into actionable insights. The ideal candidate understands end‑to-end data pipelines, contributes to architectural decision making, and ensures secure and efficient delivery of data across systems. Experience working with large datasets, front end technologies, or conversational AI is a strong advantage.

Requirements

At least 5 years of hands‑on experience building applications using Java, microservices architecture, Spark, or similar technologies
At least 5 years of practical experience in system design, application development, testing, and operational stability
At least 5 years of experience developing cloud‑based applications using AWS services
At least 5 years of experience building Python applications, including developing APIs
Strong knowledge of data warehouses such as Snowflake or databases such as Oracle or PostgreSQL
Strong understanding of the full software development lifecycle

Nice To Haves

Experience working with large datasets
Experience with front end technologies
Experience with conversational AI

Responsibilities

Design and develop scalable data solutions using Python, PySpark, and AWS to support chatbot automation, data pipelines, and backend endpoints for user interface components
Build and maintain backend services that enable secure, efficient, and reliable data delivery
Deploy cloud‑native applications using AWS services with a focus on high availability, scalability, and performance
Collaborate with cross‑functional teams to convert complex data into insights that support business needs
Participate in architectural decision making by evaluating technologies, frameworks, and best practices related to data engineering and full stack development
Gather, analyze, and visualize data from large and diverse datasets to support the continuous improvement of software applications and systems
Identify hidden issues and patterns within data and use these insights to drive improvements in coding practices and system architecture
Contribute to internal engineering groups that explore emerging technologies
Develop, debug, and maintain code within large enterprise environments using modern programming languages and database technologies
Support a team culture that values inclusion, collaboration, learning, and respect