{"id":1259900,"url":"https://alion.io/job/katapult-labs-ai-data-engineer","title":"AI Data Engineer","company":{"id":680427,"name":"Katapult Labs","domain":"katapultlabs.ai","url":"https://alion.io/company/katapultlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-25T16:08:26Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-17T17:47:02Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"AI Data Engineer\nKatapult Labs · Remote (LATAM) · Full-time\nAbout Katapult\nKatapult is an AI-first engineering studio connecting senior LATAM talent with startups and companies in the US. We're not a staff-augmentation shop: every person we put in front of a client represents Katapult, co-creates product, and owns the outcome directly, with no managers or leads acting as a layer in between.\nThe Opportunity\nWe're looking for a Data Engineer who builds, not just maintains. You'll work with one of our US startup partners to create the data foundation behind their product and business decisions. That means bringing scattered sources into one trusted place, keeping the data flowing reliably, and turning it into insights the team can act on.\nThis isn't a back-office pipelines role. You'll work side by side with product and business leaders. You'll need to understand what the company is trying to achieve and why each dataset matters. Then you'll use that context to decide what to build next.\nWhat You'll Do\nDesign, build, and own ETL/ELT pipelines that bring data from multiple sources (APIs, SaaS tools, CRMs, transactional databases) into Snowflake.\n\nModel data in Snowflake so it's clean, trustworthy, and easy to use for analytics and product.\n\nBuild and maintain integrations across the stack. You'll decide when to use off-the-shelf connectors and when to write custom code.\n\nWork directly with product and business leaders to turn vague questions into concrete data solutions.\n\nUse AI tools and agents to speed up your own work and to automate manual workflows for the team.\n\nTake ownership end to end: spot the problem, propose the solution, ship it, and keep improving it.\n\nWhat We're Looking For\nHands-on data engineering experience. You've built production pipelines yourself, in real code (Python and SQL), not only through dashboards or notebooks.\n\nStrong Snowflake experience, including data modeling, performance, and cost awareness.\n\nExperience integrating multiple data sources and orchestrating pipelines (Airflow, dbt, Fivetran/Airbyte, or similar).\n\nAgentic . Experience building AI agents or LLM-powered workflows on top of company data.\n\nBusiness and product sense. You can talk with non-technical stakeholders, understand the business model, and prioritize by impact.\n\nImpeccable English, spoken and written. 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