Lead Backend Data Engineer

🔥 12 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design and build scalable backend systems using Java • Lead the architecture and implementation of distributed systems • Develop and optimize concurrent and multi-threaded applications • Build and maintain big data pipelines and infrastructure for high-volume data ingestion, processing, and storage • Manage containerized workloads using Kubernetes, including deployment strategies, scaling policies, and resource management • Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns • Implement observability and monitoring solutions • Support production deployments and troubleshoot complex issues • Drive continuous improvement initiatives • Contribute to Blend’s growth and expansion as a Lead Backend Data Engineer

🎯 Requirements

• Deep proficiency in Java with strong understanding of advanced language features and best practices • Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics • Proven hands-on experience designing and implementing distributed systems, including consistency, fault tolerance, and data replication • Practical production-level knowledge of Kubernetes for container orchestration, deployment strategies, and service management • Strong SQL and database design fundamentals • Experience with system profiling, performance analysis, and optimization techniques • Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki • Excellent problem-solving skills and ability to debug complex, distributed system issues • Strong communication skills and ability to mentor and collaborate with team members • English: Advanced (required for effective communication with global teams) • 5+ years of experience in Backend Engineering or related disciplines such as Systems Engineering or Full-Stack Development, with demonstrated expertise in distributed systems and multi-threaded application design • Experience with Spring Framework or other modern Java backend frameworks is a plus • Background in Kafka or event-streaming architectures is a plus • Familiarity with reactive programming frameworks or reactive systems design is a plus • Prior experience in programmatic advertising or real-time data processing systems is a plus

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM