{"id":80524,"url":"https://alion.io/job/niq-data-engineer-2","title":"Data Engineer","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":35000,"max":46000,"currency":"MXN","period":"month","gross":null,"usd_annual":29892},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-19T18:28:01Z","employer_posted_date":"2026-06-19","last_verified_at":"2026-10-20T10:30:59Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.\n We are looking for a talented Data Engineer to join our global data engineering team. In this role, you will be responsible for building and maintaining scalable data pipelines and supporting the delivery of high-quality data for analytics and business insights.\nYou will work closely with cross-functional teams to ensure data availability, reliability, and performance across our platforms.\nKey Responsibilities\nBuild, maintain, and optimize data pipelines (ETL/ELT) for large-scale datasets\nDevelop scalable data solutions for data ingestion, transformation, and delivery\nEnsure data quality, validation, and reliability across pipelines\nWork with stakeholders to understand data needs and translate them into technical solutions\nDebug and troubleshoot data issues across pipelines and systems\nSupport data modeling efforts (e.g., star schema, dimensional models)\nContribute to improving pipeline performance and reducing latency\nCollaborate with global teams in a fast-paced environment\n 2-4 years of experience in Data Engineering or related roles\nStrong programming skills in Python and SQL (required)\nExperience working with data pipelines and ETL processes\nFamiliarity with cloud platforms (Azure, AWS, or GCP)\nExperience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)\nUnderstanding of data modeling concepts\nStrong problem-solving and debugging skills\nAbility to work in a global environment (English required)\nPreferred Qualifications\nExperience with Spark / PySpark\nFamiliarity with orchestration tools such as Airflow\nKnowledge of DBT or similar transformation tools\nExperience working with large-scale datasets\nExposure to CI/CD or DataOps practices\n What You’ll Need to Succeed\nStrong attention to detail and data quality\nHands-on mindset with ability to learn quickly\nOwnership of tasks and ability to work independently\nGood communication and collaboration skills\nInterest in building scalable data systems\nOur Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/\nAbout NIQ\nNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion","description_format":"text","description_chars":4875,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Government"],"lifecycle":[{"event":"open","at":"2026-06-19T18:28:01Z"}],"visa":[],"liveness":{"score":1,"band":"cold","label":"Long shot","p_open":1,"p_active":0.05,"p_room":0.28,"age_days":122,"expected_fill_days":14,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":29892,"is_top_pay":false},"html_url":"https://alion.io/job/niq-data-engineer-2","json_url":"https://alion.io/job/niq-data-engineer-2.json","meta":{"generated_at":"2026-10-20T12:39:46Z","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":13977,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":9378},"rest":"https://alion.io/mcp/rest/get_company?id=9378"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fniq-data-engineer-2"},{"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%2Fniq-data-engineer-2"},{"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%2Fniq-data-engineer-2"},{"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/niq-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fniq-data-engineer-2"}]}