Data Engineer

We are seeking a skilled and proactive Data Integration Engineer to join our remote team. In this role, you will be responsible for creating, optimizing, maintaining, and decommissioning data integrations across a diverse and complex hybrid IT landscape. This includes on-premises systems, SaaS platforms, and cloud environments (primarily AWS). You will play a key role in ensuring accurate, complete, and secure data flows that support both business and security initiatives.

Key Responsibilities:

• Design, build, and manage data workflows and integration pipelines across a hybrid IT environment.
• Ensure data integrity, observability, and resilience across internal systems and third-party platforms.
• Collaborate with internal stakeholders to gather requirements and deliver end-to-end integration solutions that are scalable and future-ready.
• Refactor or replace legacy data workflows to support modernized business processes.
• Identify integration inefficiencies and recommend improvements with long-term technical implications in mind.
• Maintain and develop scripts and automation tools using Python, Bash, PowerShell, and other relevant languages.
• Use DevOps practices to implement CI/CD workflows, maintain source control, and deploy changes reliably.
• Work with cloud services (especially AWS), containers, and both Linux and Windows environments.
• Integrate with and develop solutions for Splunk, including custom Splunk Apps (primarily Python-based).
• Collaborate occasionally with external stakeholders to support partner or cross-company integration efforts.

• Experience in a similar Data Integration, DevOps, or Systems Engineering role.
• Strong experience with Python, Bash, PowerShell, or similar scripting languages.
• Hands-on experience with hybrid IT environments: on-premises, SaaS, and cloud (especially AWS).
• Experience with containers (e.g., Docker), and cloud-based deployment and monitoring practices.
• Proficient in using CI/CD tools and managing code in source control systems (e.g., Git).
• Strong understanding of secure and reliable data pipeline design and observability.
• Familiarity with integrating and maintaining Splunk, including the development of custom apps.
• Ability to gather requirements, communicate tradeoffs, and deliver complete solutions independently.
• Strong communication and collaboration skills, both with internal and external stakeholders.

Preferred Qualifications:

• Experience working with infrastructure as code (e.g., Terraform, CloudFormation).
• Familiarity with additional monitoring or logging tools and data orchestration platforms.
• Prior experience supporting security-related or compliance-driven projects.