{"id":2862216,"url":"https://alion.io/job/tive-data-qa-engineer","title":"Data QA Engineer","company":{"id":178221,"name":"Tive","domain":"tive.com","url":"https://alion.io/company/tive-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-23T05:54:15Z"}},"role":"QA","role_family":"QA","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":["Pristina, Kosovo"],"countries":["XK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Braintrust","optional":true},{"name":"Cortex","optional":true},{"name":"DeepEval","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-19T16:07:37Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T10:29:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible-so what people hold near and dear arrives on time and in full.\nWe believe (and live!) four core values:\nTransparency First: We make everything visible so that everyone can operate better\nAlways strive to make things simpler\nWe are One Team, we have each other's backs\nRelentless iteration to optimize and improve\nWhether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full-because every shipment matters.\nTive's shipment-tracking platform turns device sensor data into customer-facing analytics, and increasingly into AI agents that answer questions about that data. The Data QA Engineer owns whether those outputs can be trusted. In this role you will build and run data quality for our dbt Snowflake pipelines, from raw source tables to customer-facing marts. You'll also design how we evaluate and test the AI agents built on top of that data.\nOur ideal candidate has:\n4+ years in data QA, analytics engineering or data engineering with a quality focus.\nStrong SQL. You can read a complex DBT model on your own, work out its grain and join risks, and write validation queries that size an issue.\nHands-on DBT experience: tests, contracts, schema.yml documentation, sources and freshness, and how incremental models fail.\nExperience with a cloud data warehouse, preferably Snowflake.\nExperience designing tests with judgment: knowing which checks matter for which data, and keeping alerts rare and actionable.\nA working understanding of how LLMs and agents behave, including non-determinism, hallucination and tool use, and how to measure systems whose output isn't the same every time.\nComfort with Git, pull request reviews and CI.\nClear writing. You can turn a data problem into a ticket an engineer can act on, and explain quality results to people who aren't technical.\nNice to have:\nElementary, dbt_utils, dbt_expectations or Snowflake data metric functions.\nLLM evaluation tools such as LangSmith, Braintrust, MLflow, DeepEval or Snowflake Cortex Analyst evaluations.\nExperience evaluating text-to-SQL or analytics agents, or building semantic layers.\nAirflow, and building BI dashboards (Sigma or similar).\nUsing AI coding assistants to speed up QA work, such as model review, test generation and failure triage.\nExperience with IoT, sensor or logistics data.\nWhat you’ll be doing:\nOwn the data quality strategy for our Snowflake + dbt + Airflow pipeline. Decide which models get which checks based on pipeline layer and customer impact. \nWrite and maintain dbt tests. Cover uniqueness, not-null, accepted values, referential integrity, timestamp order, value ranges and business logic. Use dbt built-ins, dbt_utils, dbt_expectations, unit tests and custom generic tests.\nMonitor data pipeline health. Configure source freshness and anomaly tests, and tune severity and thresholds so alerts are rare and actionable. Build and maintain dashboards on test results so the team can see data health at a glance.\nRaise the bar in development to increase data quality. Review pull requests for test coverage and data risk, improve CI testing, and get QA involved before models ship, not after.\nBuild evaluation datasets for AI agents. Work with analysts and domain experts to create golden question sets with verified answers and verified SQL, covering common questions, edge cases and questions the agent should decline.\nCreate agent test suites: Write scoring rubrics and metrics for answer accuracy, SQL correctness, tool and data-source choice, groundedness and latency. Run the eval suite on every change to prompts, models, semantic views or underlying dbt models, and flag answers that used to be right and now aren't.\nAnalyze agent failures and monitor in production. Read traces of multi-step runs to find out why an agent picked the wrong table, filter or tool, and route the fix to the right owner (prompt, semantic layer, data model or source data). Track live quality over time and report it in terms the product and leadership teams can act on.\nWhat does Tive offer?\nA chance to join what may very well turn out to be the most important company in your career.\nThe autonomy and resources to build what you know how to build.\nWork with a committed global team that have each others back.\nOffice-based or hybrid options. Your choice. \nCompetitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive’s growth.\nWe celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.","description_format":"text","description_chars":4924,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Transportation & Logistics","Logistics","IoT Connectivity"],"lifecycle":[{"event":"open","at":"2026-10-19T16:37:23Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":56,"reasons":["conf:0","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/tive-data-qa-engineer","json_url":"https://alion.io/job/tive-data-qa-engineer.json","meta":{"generated_at":"2026-10-23T13:49:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20666,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":178221},"rest":"https://alion.io/mcp/rest/get_company?id=178221"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftive-data-qa-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftive-data-qa-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftive-data-qa-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tive-data-qa-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftive-data-qa-engineer"}]}