Data Foundry Engineer

CareersJobsDataData Foundry EngineerData Foundry EngineerDataMachine LearningRemote São Paulo, SPSHAREWhy join usTRACTIAN 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.Why join usTRACTIAN 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 TRACTIANThe 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 doWe’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.ResponsibilitiesImprove and maintain data enrichment pipelines built in PythonWork on data curation tasks such as labeling, deduplication, normalization, and inconsistency resolutionInvestigate data quality issues by querying and combining data from multiple databasesPrototype tools, APIs, and workflows to support data operationsUse and create AI-based tools responsibly to support data tasks, including reviewing automated outputs when neededCollaborate with product, data, and machine learning teams on data quality and usabilityDocument workflows and methodology to keep processes reproducible and auditableRequirements3+ years of experience in data engineering, software engineering, machine learning engineering, or similar rolesStrong Python skills for data processing and automationSolid experience with Pandas and tabular data manipulationExperience with data curation, enrichment, labeling, or quality control workflowsExperience working with large or messy datasetsAbility to evaluate whether data outputs are correct, consistent, and usefulComfortable working across new data domains and switching context between different datasets and workflowsOrganized and methodical approach to technical workTechnical SkillsExperience with APIs and service integrationFamiliarity with FastAPI or similar frameworks for internal APIsFamiliarity with SQL and/or NoSQL databasesFamiliarity with workflow orchestration tools such as Airflow or TemporalFamiliarity with AI-assisted workflows, including using LLMs or agents for data tasks and reviewing automated outputsExperience with spreadsheets and tabular analysisExperience with web scraping or extracting data from semi-structured sourcesNice to HaveExperience with Streamlit or similar tools for internal prototypesExperience with Selenium, Playwright, or similar browser automation toolsFamiliarity with industrial, maintenance, or operational dataFamiliarity with gRPC is a plusExperience with annotation or labeling workflowsBackground in scientific or highly reproducible technical workI want to...