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:

Build and optimize distributed data processing systems using Scala;

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

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

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

Optimize performance of data processing jobs and infrastructure;

Ensure fault tolerance and resilience of distributed systems;

Implement monitoring, logging, and observability for data pipelines;

Collaborate with engineering teams to design scalable system architectures;

Contribute to cross-functional backend and data engineering efforts;

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

What we expect from you:

Strong experience with Scala in production environments;

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

Strong understanding of distributed systems and parallel processing;

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

Strong knowledge of JVM ecosystem and performance tuning;

Experience building high-load, scalable systems;

Strong system design and architectural thinking;

Ability to work independently and take ownership;

Strong problem-solving skills in complex, distributed environments;

English level: B2+ (C1 preferred);

Availability to work in EU timezone.

Nice to have:

Experience with functional programming paradigms;

Experience with cloud infrastructure (AWS / GCP);

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

Background in low-latency or real-time systems;

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