{"id":3836035,"url":"https://alion.io/job/true-talent-solutions-partners-data-engineer-data-product-2","title":"Data Engineer, Data Product","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-11-05T18:02:45Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T01:46:37Z","board_verified":false,"closed_at":"2026-11-06T01:46:37Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin a data product team at an AI company, turning complex consumer data into trusted, production-ready products. Your work will connect data engineering and applied data science, supporting products with direct commercial impact.\nWhat You'll Do\nInvestigate large, unfamiliar datasets to understand their structure, relationships, coverage, and suitability for product use cases.\n\nDesign domain models and derived attributes that make messy source data useful and reliable.\n\nBuild and operate ingestion and transformation pipelines, including validation, observability, and backfills.\n\nFind and assess new data sources, identifying how they can improve consumer data products.\n\nDevelop deep expertise in one or more data domains, such as identity, property, or consumer intent.\n\nWork with data scientists, platform engineers, and customer-facing teams to translate ambiguous questions into scalable data products.\n\nWhat We're Looking For\nTypically 2 to 5 years of experience in data engineering, applied data science, or analytics engineering, with a relevant degree and strong computer science or engineering fundamentals.\n\nStrong proficiency in Python and SQL, plus hands-on experience with large, messy, multi-source datasets, data cleaning, and domain modeling.\n\nExperience building production data pipelines that power customer-facing data products, not only dashboards, internal reporting, or infrastructure optimization.\n\nExperience delivering production pipelines in addition to machine learning models.\n\nFamiliarity with orchestration and transformation tools such as Dagster, Airflow, dbt, or Spark.\n\nExperience on product or revenue-focused teams is valuable.\n\nCompensation & Benefits\nBase salary: $180,000 to $225,000 USD annually. 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