{"id":2526959,"url":"https://alion.io/job/tractian-data-foundry-engineer","title":"Data Foundry Engineer","company":{"id":48244,"name":"TRACTIAN","domain":"tractian.com","url":"https://alion.io/company/tractian","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":104000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FastAPI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"gRPC","optional":true},{"name":"Playwright","optional":true},{"name":"Selenium","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-07-16T20:54:05Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-14T23:10:57Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":90},"description":"Why join us\nTractian 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.\nData Science at Tractian\nThe 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.\nWhat you'll do\nWe’re hiring Data Foundry Engineers to join Tractian’s Machine Learning Engineering team.\nThis 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.\nTractian 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.\nResponsibilities\nImprove and maintain data enrichment pipelines built in Python\nWork on data curation tasks such as labeling, deduplication, normalization, and inconsistency resolution\nInvestigate data quality issues by querying and combining data from multiple databases\nPrototype tools, APIs, and workflows to support data operations\nUse and create AI-based tools responsibly to support data tasks, including reviewing automated outputs when needed\nCollaborate with product, data, and machine learning teams on data quality and usability\nDocument workflows and methodology to keep processes reproducible and auditable\nRequirements\n3+ years of experience in data engineering, software engineering, machine learning engineering, or similar roles\nStrong Python skills for data processing and automation\nSolid experience with Pandas and tabular data manipulation\nExperience with data curation, enrichment, labeling, or quality control workflows\nExperience working with large or messy datasets\nAbility to evaluate whether data outputs are correct, consistent, and useful\nComfortable working across new data domains and switching context between different datasets and workflows\nOrganized and methodical approach to technical work\nTechnical Skills\nExperience with APIs and service integration\nFamiliarity with FastAPI or similar frameworks for internal APIs\nFamiliarity with SQL and/or NoSQL databases\nFamiliarity with workflow orchestration tools such as Airflow or Temporal\nFamiliarity with AI-assisted workflows, including using LLMs or agents for data tasks and reviewing automated outputs\nExperience with spreadsheets and tabular analysis\nExperience with web scraping or extracting data from semi-structured sources\nNice to Have\nExperience with Streamlit or similar tools for internal prototypes\nExperience with Selenium, Playwright, or similar browser automation tools\nFamiliarity with industrial, maintenance, or operational data\nFamiliarity with gRPC is a plus\nExperience with annotation or labeling workflows\nBackground in scientific or highly reproducible technical work\nCompensation & Benefits\nCompetitive Compensation\n30 days of paid annual leave\nEducation and courses stipend\nEarn a trip anywhere in the world every 4 years\nR$1.035/month for meals allowance\nHealth plan with national coverage and without coparticipation\nDental Insurance: we help you with dental treatment for a better quality of life.\nWellhub Membership: Access a wide range of gyms and training 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