{"id":3028626,"url":"https://alion.io/job/cinemark-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1761392,"name":"Cinemark","domain":"cinemark.com","url":"https://alion.io/company/cinemark","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":183000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-27T12:57:48Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Join Our Team\nAs part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.\nRole Summary:\nThe Senior Data Engineer is a hands-on technical role responsible for designing, developing, testing, deploying, and supporting scalable enterprise data solutions. The role will build and optimize data pipelines, data models, and analytics-ready data products using Microsoft Fabric and Azure technologies while ensuring strong engineering, security, reliability, data quality, observability, and production-readiness standards.The Senior Data Engineer will also help drive AI enablement across Data Engineering and the analytics ecosystem by applying AI-assisted engineering capabilities, improving data discovery and insight generation, and enabling better natural-language and AI-powered experiences in Power BI and related analytics solutions.\nResponsibilities:\nDesign, develop, test, deploy, troubleshoot, and optimize enterprise data pipelines and data solutions using Microsoft Fabric, Azure, SQL, Python, Spark, and related technologies.\nBuild scalable ingestion, transformation, and data processing frameworks for batch and near-real-time workloads across multiple enterprise data sources.\nDevelop and maintain Bronze, Silver, and Gold data layers and implement enterprise modeling patterns, including Data Vault 2.0 and dimensional/curated models where appropriate.\nDevelop and maintain dbt models, reusable transformation frameworks, documentation, automated tests, and engineering standards.\nPartner with technical leadership to implement enterprise data architecture patterns, engineering standards, reusable frameworks, and platform guardrails.\nImplement CI/CD, source control, automated testing, deployment pipelines, and DevOps practices for data engineering solutions.\nBuild data quality controls, reconciliation processes, monitoring, alerting, lineage, and observability to proactively identify and resolve data issues.\nSupport production operations by troubleshooting pipeline failures, performance issues, data defects, and critical incidents; perform root-cause analysis and implement permanent fixes.\nOptimize data pipelines, SQL queries, Spark workloads, storage, and compute utilization for performance, scalability, reliability, and cost efficiency.\nImplement security, access controls, data protection, and governance requirements in partnership with architecture, governance, and security teams.\nWork closely with BI, analytics, and business teams to deliver trusted, analytics-ready data products and support Power BI semantic models and reporting solutions.\nSupport migration and modernization of legacy ETL and enterprise data warehouse workloads to Microsoft Fabric while ensuring reconciliation, business continuity, and production readiness.\nMaintain technical documentation including solution designs, data mappings, operational runbooks, support procedures, and production-readiness artifacts.\nApply AI-assisted engineering capabilities to improve developer productivity, accelerate SQL/Python development, support code quality, automate documentation and testing, and improve troubleshooting and root-cause analysis.\nEnable AI-ready data products by ensuring data is trusted, well-modeled, governed, documented, and accessible for AI, machine learning, natural-language querying, and advanced analytics use cases.\nRequirements:\nBachelor’s degree in computer science, Engineering, Math or related field is required Master's degree is preferred\n5+ years of experience in data engineering, data warehousing, ETL/ELT, or enterprise analytics platforms, with demonstrated experience delivering production-grade data solutions.\nStrong hands-on SQL skills and experience with Python and/or PySpark for data engineering workloads.\nExperience with Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Synapse, Databricks, or comparable modern cloud data platforms.\nStrong understanding of data modeling, dimensional modeling, data lake/lakehouse patterns, and enterprise data architecture concepts.\nExperience implementing data quality, monitoring, observability, automated testing, and production support practices.\nExperience with Git, CI/CD, DevOps, and automated deployment practices.\nStrong analytical, troubleshooting, communication, and cross-functional collaboration skills.\nExperience with or knowledge of Agile Software Development methodologies\nStrong aptitude for learning new technologies and analytics techniques\nCommunication skills and ability to develop and present solutions to all levels of management\nMust be able to interact effectively and patiently with customers especially while under pressure\nThe ability to work on multiple projects/tasks simultaneously to meet project deadlines for self and others as required\nAbility to establish and maintain positive working relationships with other employees.\nStrong analytical and problem-solving skills, with strict attention to accuracy and detail, and the ability to evolve data into knowledge\nPassion for delivering highly available, robust BI solutions\nKnowledge of best practices and IT operations in an always-up, always-available service\nPreferred Skills:\nHands-on experience with Microsoft Fabric, OneLake, Fabric Data Engineering, Fabric Data Factory, and related platform capabilities.\nExperience with dbt Core and Data Vault 2.0.\nExperience with Microsoft Purview, metadata management, lineage, governance, and data catalog capabilities.\nExposure to AI/ML, generative AI, Microsoft Copilot capabilities, or AI-assisted data and analytics engineering.\nBenefits Available:\nAt Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.\nEmployee Discount\n401(k) Matching*\nGrowth Opportunities\nEducation Assistance*\nHealth Benefits*\nParental Leave*\nPaid Time Off*\nDaily Pay*\nFree Movies*\n*Benefits may vary by career category, so be sure to check the specific details on our career site.\nDISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.\nReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nCinemark is an Equal Opportunity Employer","description_format":"text","description_chars":6772,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Growth opportunities","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cinema"],"lifecycle":[{"event":"open","at":"2026-10-21T19:45:32Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.556,"p_room":0.35,"age_days":34,"expected_fill_days":13,"reasons":["conf:27","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/cinemark-senior-data-engineer","json_url":"https://alion.io/job/cinemark-senior-data-engineer.json","meta":{"generated_at":"2026-10-27T15:59:09Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-28T00:00:00Z"}},"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":1761392},"rest":"https://alion.io/mcp/rest/get_company?id=1761392"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcinemark-senior-data-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%2Fcinemark-senior-data-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%2Fcinemark-senior-data-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/cinemark-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcinemark-senior-data-engineer"}]}