Remote Data Engineer II: Build Modern Data Pipelines

Jack Henry & Associates, Inc.; Springfield (MO); Remote; USD 95.000 - 135.000; Vollzeit

Zusammenfassung

Jack Henry & Associates, Inc. is seeking a Data Engineer to design, develop, and maintain enterprise data pipelines within the Data & Analytics organization.

The role focuses on building reliable, scalable data systems using modern engineering practices to support payment processing systems and analytics. The ideal candidate has a strong software engineering background, 3+ years in data engineering, and experience with SQL Server, MySQL, C#, Python, and CI/CD for data platforms.

Qualifikationen

• Bachelor's degree in CS, IT, or Engineering.
• Minimum 3 years of data engineering or software engineering experience.
• Experience with relational databases such as SQL Server and/or MySQL.
• Experience developing ETL/ELT and data integration solutions.
• Experience with Git and code review workflows.
• Experience with Docker and containerization.

Aufgaben

• Designs, develops, tests, deploys, and maintains batch and streaming data pipelines with high availability and performance requirements.
• Develops data integration solutions using SQL, C#, Python, PowerShell and related automation tools.
• Implements event-driven architectures using CDC, Kafka, messaging platforms, and stream-processing technologies.
• Maintains legacy data integration solutions and moves workloads toward code-first development.
• Creates and maintains CI/CD pipelines for data and analytics platforms.

Kenntnisse

SQL

C#

Python

PowerShell

ETL/ELT

Git

Docker

Ausbildung

Bachelor's degree in Computer Science, Information Technology, or Engineering

Tools

SSIS

Kafka

SQL Server

MySQL

Jobbeschreibung

Jack Henry & Associates, Inc. is seeking a Data Engineer to design, develop, and maintain enterprise data pipelines within the Data & Analytics organization.

The role focuses on building reliable, scalable data systems using modern engineering practices to support payment processing systems and analytics. The ideal candidate has a strong software engineering background, 3+ years in data engineering, and experience with SQL Server, MySQL, C#, Python, and CI/CD for data platforms.