Data Engineer II

Data & Analytics team role focused on building and modernizing enterprise data integration pipelines.

Responsibilities

• Collaborate in the Warehousing & Pipelines function with DBAs, Data Architects, BI Developers, Data Scientists, Software Engineers, and business stakeholders.
• Design, develop, test, deploy, and maintain batch and streaming data pipelines for payment processing systems with strict availability and performance requirements.
• Build data integration solutions using SQL, C#, Python, PowerShell, and related automation technologies.
• Develop and support event-driven architectures using Change Data Capture (CDC), Kafka, messaging platforms, and stream-processing technologies.
• Maintain and modernize legacy data integration systems, including SQL Server Integration Services (SSIS), transitioning toward code-first and version-controlled development practices.
• Create and maintain CI/CD pipelines for data integration, analytics, and data platform solutions.
• Implement monitoring, logging, alerting, and observability capabilities for data platforms and pipelines.
• Partner with Data Architects and enterprise data governance teams to populate and maintain enterprise data warehouse, lakehouse, and analytical data platform solutions.
• Tune SQL queries and database interactions to reduce impact on source systems and improve application performance.
• Optimize pipelines for throughput, scalability, resiliency, and cost efficiency.
• Produce and maintain technical documentation including architectural diagrams, operational runbooks, and deployment procedures.
• Use AI-assisted development tools responsibly to improve productivity and code quality, while independently validating, reviewing, and testing generated code.
• Participate in on-call rotations and provide after-hours support as required.
• Perform other job duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or Engineering.
• Minimum 3 years of experience in data engineering, software engineering, or 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.

Technologies

• SQL
• C#
• Python
• PowerShell
• Change Data Capture (CDC)
• Kafka
• SQL Server Integration Services (SSIS)
• CI/CD
• Git
• Docker
• MySQL
• ETL/ELT

Nice to Have

• 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.

Location / Onsite Interview Requirement

• This is a remote position.
• Candidates must live within approximately a 70-mile radius of office locations in Allen, TX; Lenexa, KS; Springfield, MO; or Monett, MO; Louisville, KY; Troy, MI; Birmingham, AL.
• All positions, regardless of location, may require an onsite interview or in-person onboarding to verify identity.