Senior Data Engineer (Scala)

Build data-intensive systems that actually scale. Own distributed processing, not just services. Shape how large-scale data flows power products.

We’re looking for a Senior Scala / Data Engineer for one of our clients — a company operating in a data-heavy, distributed systems environment. This is a hands-on role for someone with a strong Scala background who has built and optimized high-performance data systems in production.

This role is for someone who takes full ownership of distributed data systems — from architecture to performance. You’ll work on complex, large-scale data processing challenges where efficiency, scalability, and fault tolerance are critical.
Your responsibilities will include:

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Build and optimize distributed data processing systems using Scala;

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Design and implement high-throughput, low-latency data pipelines;

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Work with big data frameworks (e.g., Spark) and distributed architectures;

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Develop and maintain scalable backend services for data-intensive workloads;

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Optimize performance of data processing jobs and infrastructure;

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Ensure fault tolerance and resilience of distributed systems;

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Implement monitoring, logging, and observability for data pipelines;

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Collaborate with engineering teams to design scalable system architectures;

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Contribute to cross-functional backend and data engineering efforts;

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Ensure high standards of code quality, performance, and reliability.

What we expect from you:

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Strong experience with Scala in production environments;

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Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems;

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Strong understanding of distributed systems and parallel processing;

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Experience with big data technologies (Spark, Kafka, etc.);

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Strong knowledge of JVM ecosystem and performance tuning;

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Experience building high-load, scalable systems;

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Strong system design and architectural thinking;

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Ability to work independently and take ownership;

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Strong problem-solving skills in complex, distributed environments;

- English level: B2+ (C1 preferred);

- Availability to work in EU timezone.

Nice to have:

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Experience with functional programming paradigms;

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Experience with cloud infrastructure (AWS / GCP);

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Experience with stream processing frameworks (Flink, Akka Streams);

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Background in low-latency or real-time systems;

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Experience in niche or hard-to-hire tech domains.

We offer:

- Six-month full-time contract engagement;

- Remote work with overlap in US business hours;

- High-impact project with direct influence on production AI systems;

- Close collaboration with client’s product and engineering teams;

- Opportunity to build core infrastructure for real-world AI applications — not prototypes.

Originally posted on Himalayas