Senior Data Engineer, Rust

🔥 6 minutes ago

🔔 Pennsylvania – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Nagarro

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• 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

🎯 Requirements

• 8+ years of experience in software/data engineering • Proven background delivering robust, distributed systems and large-scale data platforms in production • Strong, hands-on experience building multi-threaded, asynchronous services in Rust • Deep knowledge of memory management and concurrency patterns • Extensive experience establishing data contracts and schemas using Protobuf/gRPC, Avro, or OpenAPI • Experience with backward compatibility and schema evolution strategies • 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), or AWS Glue/Redshift • Advanced understanding of columnar storage (Parquet), partitioning/clustering, distributed caching, and query engine optimization

🏖️ Benefits

• Employees can work remotely

Apply Now

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