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Lead Backend Data Engineer

Blend360 blend360.com Open ยท verified Oct 24, 2026
Remote Buenos Aires Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Blend360. Remote, Argentina ยท full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationBuenos Aires
WorkplaceRemote
EmploymentFull-time
PostedSep 17, 2026 ยท 5w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design Java backend services and distributed systems that remain reliable and performant while processing large data volumes
  • Build and tune concurrent applications, using synchronization and atomic operations to support data-intensive workloads
  • Create data pipelines for high-volume ingestion, processing and storage, and run them on Kubernetes
  • Guide junior and mid-level engineers on system design, backend practices and performance improvements
  • Define APIs and service integrations with other teams, add monitoring, and troubleshoot production issues

What you bring

  • At least five years in backend, systems or full-stack engineering, with distributed systems and multithreaded design experience
  • Strong Java skills, including concurrency, synchronization, atomic operations and volatile semantics
  • Hands-on work with Spark, Airflow and Kubernetes, plus strong SQL for queries and database schemas
  • Advanced English for communicating with global teams

Who this fits

This senior lead role suits an experienced backend engineer who can shape distributed systems and mentor other engineers. It is remote in Buenos Aires.

From the employer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking a Lead Backend Engineer to contribute to our next level of growth and expansion

What is this position about?

  • Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
  • Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.
  • Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns, locks, barriers, and atomic operations for high-performance, data-intensive systems.
  • Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale.
  • Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads.
  • Mentor junior and mid-level engineers on backend best practices, system design, and performance optimization techniques.
  • Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.
  • Implement observability and monitoring solutions to ensure system health and performance visibility.
  • Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives.
  • 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 at scale.
  • Strong SQL expertise with ability to design and optimize database queries and schemas.
  • Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration.
  • Practical knowledge of Kubernetes for container orchestration and service management.
  • Experience with system profiling, performance analysis, and optimization techniques.
  • Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki.
  • Spring Framework or other modern Java backend frameworks is a plus.
  • Kafka or event-streaming architectures is a plus.
  • Reactive programming frameworks or reactive systems design is a plus.
  • Apache Pinot or similar analytical data stores is a plus.
  • Terraform or Infrastructure as Code is a plus.
  • GitLab CI, Jenkins (Groovy), or similar CI/CD tools is a plus.
  • GCP or other cloud platforms is a plus.
  • AI-assisted development tools (GitHub Copilot, Claude, etc.) is a plus.

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

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.

Our Perks and Benefits:

๐Ÿ“š Learning Opportunities:

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.

๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Travel opportunities to attend industry conferences and meet clients.

๐Ÿ‘ฉโ€๐Ÿซ Mentoring and Development:

  • Career development plans and mentorship programs to help shape your path.

๐ŸŽ Celebrations & Support:

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.

โš–๏ธ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.