Data Engineer II

Jack Henry is hiring a Data Engineer II to design, develop, modernize, and support enterprise data integration solutions within its Data & Analytics organization. The role builds and maintains reliable data pipelines and platforms that support payment processing, analytics, reporting, machine learning, and enterprise data initiatives.

Responsibilities:

• Works within the Data & Analytics team in the Warehousing & Pipelines function, collaborating closely with DBAs, Data Architects, BI Developers, Data Scientists, Software Engineers, and business stakeholders
• Designs, develops, tests, deploys, and maintains batch and streaming data pipelines supporting payment processing systems with strict availability and performance requirements
• Develops data integration solutions using SQL, C#, Python, PowerShell, and related automation technologies
• Develops and supports event-driven architectures using Change Data Capture (CDC), Kafka, messaging platforms, and stream-processing technologies
• Develops, maintains, and modernizes legacy data integration solutions, including SQL Server Integration Services (SSIS), transitioning workloads toward code-first, version-controlled development practices
• Creates and maintains CI/CD pipelines for data integration, analytics, and data platform solutions
• Implements monitoring, logging, alerting, and observability capabilities for data platforms and pipelines
• Works with Data Architects and enterprise data governance teams to populate and maintain enterprise data warehouse, lakehouse, and analytical data platform solutions
• Tunes SQL queries and database interactions to reduce impact on source systems and improve application performance
• Optimizes data pipelines to improve throughput, scalability, resiliency, and cost efficiency
• Produces and maintains technical documentation, architectural diagrams, operational runbooks, and deployment procedures
• Leverages AI-assisted development tools responsibly to improve productivity and code quality while independently validating, reviewing, and testing all generated code
• Participates in on-call rotations and provides after-hours support as required
• May perform other job duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or Engineering
• Minimum of 3 years of experience in data engineering, software engineering, database development
• Experience developing solutions on relational database platforms such as SQL Server and/or MySQL
• Experience developing applications or services using C# or similar object-oriented programming languages
• Experience developing and supporting ETL/ELT and data integration solutions
• Experience working with source control systems such as Git and participating in code reviews and pull request workflows
• Experience working with containerization technologies such as Docker
• Experience modernizing legacy analytics platforms, OLAP solutions, or analytical workloads
• Experience with cloud services and data platforms in GCP, AWS, and/or Azure
• Experience with Infrastructure as Code (IaC) using Terraform, Pulumi, Bicep, Ansible, or similar technologies
• Experience building and supporting Kubernetes-based applications and services
• Experience developing data lakes, lakehouses, and open table format solutions using technologies such as Apache Iceberg, Delta Lake, Hudi, Parquet, or similar platforms
• Experience operating under PCI DSS, SOC, financial services, healthcare, or similar regulatory frameworks