Senior Software Engineer, Data Processing

Job not on LinkedIn

🕒 June 3

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grupo Protege

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

📋 Description

• Design, build, and operate the ingestion systems that process large volumes of multimodal data into usable, well-structured datasets • Own the ingestion path end to end, from how data lands to how it is validated, processed, tracked, and made available downstream • Build modality-specific processing steps for real-world source data, such as medical imaging processing, audio and video metadata extraction, quality validation, and notes processing • Build parsers, validators, and normalization logic that can systematically handle messy, non-standard, and high-variance source formats • Turn repeated one-off data handling work into reusable processing patterns, internal tooling, and platform capabilities • Build for high volume and high throughput, optimizing systems for reliability, cost, and speed • Work across distributed and parallel compute systems to process workloads that do not fit well on a single machine • Choose the right execution model for the workload, including batch processing, distributed execution, and modern compute patterns for unstructured data and inference-heavy processing • Diagnose and resolve bottlenecks across ingestion and processing systems, and keep performance from degrading as volume and modality complexity grow • Build validation and quality checks that catch bad, incomplete, or malformed data before it propagates downstream • Handle sensitive and regulated data, including PHI, with the security and care the domain demands, including de-identification where required • Track provenance, metadata, and usage constraints through the ingestion path so downstream use remains compliant and auditable • Raise the quality bar for observability, debuggability, and operational reliability across the ingestion layer • Partner with product and Data Lab to support new modalities, new partner requirements, and non-standard source data • Work directly with partner engineering teams when needed to translate source-system realities into robust ingestion and processing design • Surface recurring patterns that are worth standardizing into reusable transforms, validators, and internal tooling • Help shape how Protege handles new data types as the platform expands into more complex data environments

🎯 Requirements

• 5+ years building and operating production backend or data systems, with real experience in data processing at scale • Hands-on experience designing and running large-scale data pipelines • Strong programming skills in Python • Experience with distributed data processing • Strong proficiency with AWS • Comfort with messy, varied, high-volume data and high ambiguity, with a knack for finding patterns in complex environments • Attention to detail without losing speed, and a bias to action • Excited to work on a product built around moving and processing large volumes of data • Curious, tenacious, and proactive

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible working hours