Description

• Design, develop, test, deploy, and maintain scalable data engineering applications, services, and shared platform capabilities.
• Build and support data pipeline products for ingestion, integration, transformation, and delivery.
• Develop production-quality solutions using Java and Python.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes and Docker.
• Build, maintain, and support CI/CD pipelines, with Jenkins as a primary day-to-day platform; leverage GitHub Actions or comparable CI/CD tools where appropriate.
• Develop and support infrastructure-as-code solutions using OpenTofu and Terraform.
• Build and operate cloud-based data solutions on AWS, applying appropriate AWS security practices.
• Configure, maintain, and troubleshoot data flows using Apache NiFi or comparable data-flow platforms.
• Monitor application and platform availability, performance, and reliability using Prometheus or comparable observability platforms.
• Diagnose complex technical issues, perform root-cause analysis, and independently drive issues through resolution.
• Collaborate with engineering, platform, security, architecture, and business stakeholders to define and deliver technical solutions.
• Explain technical concepts, architecture decisions, risks, and recommendations to both technical and non-technical audiences.
• Produce and maintain clear technical documentation, including solution designs, operational procedures, and deployment guidance.

Basic Qualifications

• 1+ years of hands-on experience with OpenTofu and 4+ years of experience with Terraform or comparable infrastructure-as-code tools and practices.
• 4+ years of experience with Kubernetes.
• 4+ years of experience developing and supporting production Java applications. Experience with Java 11 or later is preferred; strong Java 8 candidates with demonstrated modern Java and enterprise application-development experience will be considered.
• 4+ years of experience using Git-based source-control platforms, such as GitHub, GitLab, Bitbucket, or similar.
• 4+ years of experience building and supporting CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, or similar platforms; hands-on Jenkins experience is strongly preferred, as Jenkins is a primary CI/CD platform used by the team.

Preferred Skills:

• Experience developing production-quality solutions using Python, particularly in data engineering or analytics environments.
• Experience with Docker and containerized application delivery.
• Experience designing, deploying, or supporting cloud-based solutions on AWS.
• Knowledge of AWS security practices, including secure access, identity, and deployment principles.
• Experience with data ingestion, integration, transformation, and pipeline development.
• Experience with Apache NiFi and Prometheus, or comparable data-flow and observability platforms, with the ability to quickly become productive in the team’s toolset.
• Strong problem-solving, troubleshooting, root-cause analysis, and issue-resolution skills.
• Ability to work independently, prioritize effectively, and take ownership of deliverables.
• Strong communication and presentation skills.
• Ability to explain technical concepts to non-technical stakeholders.
• Experience creating and maintaining technical documentation, solution designs, operational procedures, and deployment guidance.

Education

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent relevant work experience

Key Skills

Education

Bachelor’s degree