Senior Data Engineer (Scala)

Empat

WorldwideremotePosted 1 month ago

Skill Required

Data-EngineerData-EngineeringScala-DeveloperBackend-EngineeringDistributed-Systems-EngineeringSenior-Data-EngineeringSenior-Staff-Data-EngineerSenior-DataOps-EngineerSenior-Data-Platform-EngineerSenior-Principal-Data-EngineerData EngineerScalaSystem DesignQuery Optimizationdata engineeringObservabilityEngineeringR Programmingbuildingetc.)designSparkKafkaFlinkCloudAWSGCPandAIContract

Key highlights

Six-month full-time contract engagement
Remote work with overlap in US business hours
Direct influence on production AI systems
Senior-level Scala/Data Engineer experience required
Strong Scala production experience required
Availability to work in EU timezone

Role overview

Senior Scala / Data Engineer role focused on building and owning large-scale, distributed data processing systems. The position involves designing high-throughput, low‑latency pipelines and ensuring fault‑tolerant, performant data services that power production AI products.

Responsibilities

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

Requirements

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

Benefits

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