Data Foundry Engineer

Tractian

São Paulo

Presencial

BRL 156 000 - 234 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

30 days of paid annual leave
Education and courses stipend
Earn a trip anywhere in the world
Meals allowance: R$1,035/month
Health plan with national coverage
Dental Insurance
Wellhub Gym access

Resumo da oferta

TRACTIAN is hiring Data Foundry Engineers to join our Machine Learning Engineering team, focusing on building and improving datasets across the company. You will work with data engineers, back-end, front-end, product, labeling, and AI engineering to make information structured, reliable, and useful for internal systems and clients.

We process over 20 million industrial data samples each day. You will help improve data quality, processing logic, and turn fragmented information into cohesive

Qualificações

  • 3+ years in data engineering, software engineering, ML engineering, or similar roles.
  • Strong Python skills for data processing and automation.
  • Solid experience with Pandas and tabular data manipulation.
  • Experience with data curation, enrichment, labeling, or quality control workflows.
  • Experience with large or messy datasets.
  • Ability to evaluate data outputs for correctness and usefulness.
  • Comfortable switching context between datasets and workflows.
  • Organized and methodical approach to technical work.

Responsabilidades

  • Improve and maintain data enrichment pipelines built in Python
  • Work on data curation tasks such as labeling, deduplication, normalization, and inconsistency resolution
  • Investigate data quality issues by querying and combining data from multiple databases
  • Prototype tools, APIs, and workflows to support data operations
  • Use and create AI-based tools responsibly to support data tasks, including reviewing automated outputs when needed
  • Collaborate with product, data, and machine learning teams on data quality and usability
  • Document workflows and methodology to keep processes reproducible and auditable

Conhecimentos

Python
Pandas
Data curation
Data quality
Cross-domain data
Organized

Formação académica

Ferramentas

APIs
FastAPI
SQL
NoSQL
Airflow
Temporal
LLMs

Descrição da oferta de emprego

Why join us

TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.

Data Science at TRACTIAN

The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products.

What you'll do

We’re hiring Data Foundry Engineers to join Tractian’s Machine Learning Engineering team.

This role focuses on building and improving datasets used across the company. The team works across data engineering, back-end, front-end, product, labeling, and AI engineering to make information more structured, reliable, and useful for internal systems, clients, and AI applications.

Tractian processes more than 20 million industrial data samples per day. We are looking for someone who is comfortable working close to the data: understanding source quality, identifying inconsistencies, improving processing logic, and helping turn fragmented information into cohesive datasets.

Responsibilities
  • Improve and maintain data enrichment pipelines built in Python
  • Work on data curation tasks such as labeling, deduplication, normalization, and inconsistency resolution
  • Investigate data quality issues by querying and combining data from multiple databases
  • Prototype tools, APIs, and workflows to support data operations
  • Use and create AI-based tools responsibly to support data tasks, including reviewing automated outputs when needed
  • Collaborate with product, data, and machine learning teams on data quality and usability
  • Document workflows and methodology to keep processes reproducible and auditable
Requirements
  • 3+ years of experience in data engineering, software engineering, machine learning engineering, or similar roles
  • Strong Python skills for data processing and automation
  • Solid experience with Pandas and tabular data manipulation
  • Experience with data curation, enrichment, labeling, or quality control workflows
  • Experience working with large or messy datasets
  • Ability to evaluate whether data outputs are correct, consistent, and useful
  • Comfortable working across new data domains and switching context between different datasets and workflows
  • Organized and methodical approach to technical work
Technical Skills
  • Experience with APIs and service integration
  • Familiarity with FastAPI or similar frameworks for internal APIs
  • Familiarity with SQL and/or NoSQL databases
  • Familiarity with workflow orchestration tools such as Airflow or Temporal
  • Familiarity with AI-assisted workflows, including using LLMs or agents for data tasks and reviewing automated outputs
  • Experience with spreadsheets and tabular analysis
  • Experience with web scraping or extracting data from semi-structured sources
Nice to Have
  • Experience with Streamlit or similar tools for internal prototypes
  • Experience with Selenium, Playwright, or similar browser automation tools
  • Familiarity with industrial, maintenance, or operational data
  • Familiarity with gRPC is a plus
  • Experience with annotation or labeling workflows
  • Background in scientific or highly reproducible technical work
Compensation & Benefits
  • Competitive Compensation
  • 30 days of paid annual leave
  • Education and courses stipend
  • Earn a trip anywhere in the world every 4 years
  • R$1.035/month for meals allowance
  • Health plan with national coverage and without coparticipation
  • Dental Insurance: we help you with dental treatment for a better quality of life.
  • Wellhub Membership: Access a wide range of gyms and training programs.
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