{"id":708878,"url":"https://alion.io/job/haystack-data-engineer","title":"Data Engineer","company":{"id":678650,"name":"Haystack News","domain":"haystack.tv","url":"https://alion.io/company/haystack-4","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":49,"open_postings":20,"ghost_share":0.85,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lima, Peru"],"countries":["PE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":37000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-05-08T19:39:34Z","employer_posted_date":"2025-05-08","last_verified_at":"2026-11-13T04:33:55Z","board_verified":true,"closed_at":null,"days_open":553,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":553},"description":"Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!\nBe part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.\nYou should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.\nJob functions\nAnalyze large data sets to get insights using statistical analysis tools and techniques\n\nCollaborate with the Marketing, Editorial and Engineering teams on dataset building, querying and dashboard implementations\n\nSupport the data tooling improvement efforts and help increase the company data literacy\n\nWork with the ML team on feature engineering and A/B testing for model building and improvement\n\nDesign, test and build highly scalable data management and monitoring systems\n\nBuild high-performance algorithms, prototypes and predictive models\n\nQualifications and requirements\nStrong written and spoken English is a 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