Activate JobCopilot
About Jobgether
Jobgether is a pioneering HR Tech startup, operating entirely remotely, and leading the revolution in the world of work. As the largest job search engine designed exclusively for remote workers, we believe that flexibility is the cornerstone of the future of work. Our mission is to empower individuals to discover opportunities that align seamlessly with their unique lifestyles.
On the Jobgether platform, companies can showcase their commitment to flexibility and remote work policies, attracting top-tier talent from across the globe. Our diverse team of 30 individuals is located in Spain, Belgium, Israel, France, Colombia, Madagascar, Italy, Ukraine, Portugal, the USA, and India, embodying the true spirit of remote work.
We operate on the fundamental principle that work should be conducted on your terms—how you want, when you want, and from wherever you want. We place a premium on accountability, valuing outcomes above all else. At Jobgether, it's not about where you work; it's about what you achieve.
Accountabilities:
- Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
- Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
- Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
- Provide operational support for production systems, ensuring high reliability of scrapers and ML pipelines.
- Collaborate with cross-functional teams to translate business needs into technical solutions and maintain clear documentation.
- Apply best practices for data modeling, storage, and retrieval across relational and NoSQL databases.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in data engineering, with a proven track record managing large-scale pipelines.
- Strong proficiency in Python with 5+ years of professional experience.
- Advanced skills in data modeling, schema design, and modern data warehousing concepts.
- Expertise with relational databases (MySQL, PostgreSQL) and NoSQL systems (MongoDB).
- Hands-on experience with cloud infrastructure (AWS) and big data frameworks (Spark, Kafka, Hadoop).
- Fluent in English and Spanish, with strong communication skills to articulate technical solutions to diverse stakeholders.
- Preferred: experience with MLOps, containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and data privacy/security best practices.
- Fully remote work from anywhere in the world, with flexibility to manage your own schedule.
- Opportunity to work on cutting-edge data and AI technologies with global impact.
- Professional growth through challenging projects and exposure to innovative workflows.
- Collaboration with a diverse, international team of passionate professionals.
- Supportive work culture that values autonomy, accountability, and technical excellence.
Requirements:
Benefits:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Your email job alert is now active!
