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Staff Data Engineer (Remote - Georgia, USA) at Jobgether. About Jobgether:. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.. One of our companies is currently looking for a . Staff Data Engineer. in . Atlanta, GA. .. This role is ideal for an experienced data engineering professional eager to take a leadership position in shaping high-impact data infrastructure. As a Staff Data Engineer, you will architect and maintain scalable, reliable pipelines and cloud-based platforms to enable data-driven decisions across the organization. You’ll collaborate with cross-functional teams including analytics, DevOps, and data science to build innovative solutions, integrate APIs, and optimize real-time and batch data flows. The ideal candidate has deep technical expertise, a mentorship mindset, and a passion for creating efficient, production-grade systems that support continuous innovation.. Accountabilities:. . Design and maintain scalable real-time and batch data pipelines using Python and Go. . Build integrations with internal and external APIs to enrich the core data platform. . Collaborate with analytics, data science, and DevOps teams to optimize infrastructure and workflows. . Lead architecture initiatives focused on reliability, data modeling, and governance. . Implement Infrastructure as Code (IaC) and CI/CD pipelines to automate deployment and testing. . Provide guidance and mentorship to junior engineers and promote best practices across teams. . Ensure robust monitoring, alerting, and documentation across all systems. . Contribute to strategic planning by staying up-to-date with emerging technologies. . 7+ years of experience in data engineering or software development with a focus on data. . 3+ years of technical leadership and mentorship experience. . Proven expertise in cloud-based streaming data infrastructure and large-scale distributed systems. . Advanced proficiency with Python, Go, and cloud technologies. . Experience with tools such as DBT, Kubernetes, AWS, and CI/CD platforms. . Strong communication and cross-functional collaboration skills. . Bachelor’s or Graduate degree in Computer Science, Information Systems, or related field. . Experience with real-time data pipelines in a production environment is a strong plus. . Company Location: United States.