Senior Data Engineer (Rust)

Posted 12 Hours Ago
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Hiring Remotely in PL
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Lead architecture and scaling of high-throughput data services, ingestion pipelines, APIs, and distributed data platforms. Build low-latency, memory-efficient infrastructure in Rust; design data contracts and schemas; integrate cloud warehouses and lakehouses; and optimize distributed processing, storage, caching, and query performance.
Summary Generated by Built In
Company Description

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are looking for a Senior Data Engineer who can lead the architecture and scaling of high-throughput data services, ingestion pipelines, and resilient API contracts. Leveraging Rust, you will build ultra-low-latency, memory-efficient data infrastructure and integrate it seamlessly with enterprise cloud warehouses and lakehouses.

Responsibilities:

  • Lead the architecture and scaling of high-throughput data services and ingestion pipelines.
  • Build high-performance, low-latency data infrastructure using Rust.
  • Design resilient APIs, data contracts, and schemas.
  • Integrate data services with cloud warehouses and lakehouse platforms.
  • Optimize distributed data processing, storage, caching, and query performance.
  • Drive technical architecture and best practices for scalable data platforms.

Qualifications

  • 8+ years of experience in software/data engineering.
  • Proven background delivering robust, distributed systems and large-scale data platforms in production.
  • Production Rust: Strong, hands-on experience building multi-threaded, asynchronous services in Rust, with deep knowledge of memory management and concurrency patterns.
  • Contract-Driven API Design: Extensive experience establishing data contracts and schemas using Protobuf/gRPC, Avro, or OpenAPI, including backward compatibility and schema evolution strategies.
  • Cloud & Warehouse Mastery: Deep expertise in at least one major cloud provider (AWS, GCP, Azure) and production mastery of at least one enterprise analytical platform:
    Snowflake, Google BigQuery, Databricks (Delta Lake), or AWS Glue/Redshift.
  • Distributed Data Fundamentals: Advanced understanding of columnar storage (Parquet), partitioning/clustering, distributed caching, and query engine optimization.

Skills Required

  • 8+ years of experience in software or data engineering
  • Experience delivering robust distributed systems and large-scale data platforms in production
  • Strong production Rust experience building multithreaded, asynchronous services, including memory management and concurrency patterns
  • Extensive experience with contract-driven API design using Protobuf/gRPC, Avro, or OpenAPI, including backward compatibility and schema evolution
  • Deep expertise in at least one major cloud provider: AWS, GCP, or Azure
  • Production mastery of at least one enterprise analytical platform: Snowflake, Google BigQuery, Databricks Delta Lake, AWS Glue, or Redshift
  • Advanced understanding of columnar storage, including Parquet, partitioning/clustering, distributed caching, and query engine optimization

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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