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Data Engineer at Partner One Capital. 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.. . Company Location: Brazil.