{"id":1574378,"url":"https://alion.io/job/ziosk-senior-data-engineer-on-site","title":"Senior Data Engineer on-site)","company":{"id":2062621,"name":"Ziosk","domain":"ziosk.com","url":"https://alion.io/company/ziosk","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Great Expectations","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"Machine Learning","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-06-24T20:26:02Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-13T00:12:36Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Senior Data Engineer (on-site) - Plano, TX\nWelcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience!\nHave you ever used a tablet to pay at a restaurant? We pioneered the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry. Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more - helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based and AI driven products, all focused on helping them create the best guest experience possible to grow their bottom line.\nOur secret sauce? Our people! Every day, they’re cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry. \nWant a seat at our table? Ziosk is looking for a highly skilled and experienced Senior Data Engineer with deep expertise in Azure Databricks to contribute to the design, development, and optimization of our modern data platform. In this role, you will be responsible for building scalable ETL pipelines, implementing data lakehouse architectures, and supporting advanced analytics use cases in a high-volume data environment. You will work closely with data architects, data scientists, business stakeholders, and cloud infrastructure teams to deliver reliable, secure, and high-performance data solutions.\nThe Main Course - Responsibilities \nData Architecture & Engineering\nDesign and implement scalable ETL/ELT pipelines using Azure Databricks (PySpark, Spark SQL).\nBuild robust data ingestion workflows from diverse sources (Event Hub, APIs, Azure SQL, Blob Storage, etc.) into the Bronze/Silver/Gold layers of the medallion architecture.\nDefine and implement best practices for Delta Lake and Unity Catalog for schema evolution, versioning, and governance.\nOptimize performance and cost efficiency of large-scale data pipelines through intelligent partitioning, caching, clustering, and tuning Spark configurations.\nCloud Platform Integration\nIntegrate Databricks with Azure Data Lake Storage (ADLS Gen2), Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure DevOps.\nImplement secure and governed access to data using managed identities, role-based access control (RBAC), and data masking techniques.\nCollaboration & Leadership\nPartner with data analysts, data scientists, and business users to understand data needs and deliver trusted datasets and KPIs.\nProvide technical leadership and mentorship to junior engineers, conducting code reviews and guiding architectural decisions.\nCollaborate with enterprise architects and InfoSec to ensure compliance with data security and privacy policies.\nMonitoring & Quality\nImplement data quality checks, alerts, and lineage tracking using tools such as Great Expectations, Unity Catalog, and Data Observability platforms.\nSet up monitoring dashboards, alerts, and job recovery mechanisms for mission-critical pipelines.\nWhat You Bring To The Table - Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, or related field.\n5+ years of experience in data engineering, with 3+ years focused on Azure Databricks and Spark (PySpark).\nExpertise in Delta Lake, Unity Catalog, Databricks Notebooks, and SQL Warehousing.\nHands-on experience with Azure cloud services: ADLS Gen2, Event Hub, ADF, Key Vault, Synapse.\nStrong programming skills in Python, SQL, and familiarity with Scala.\nSolid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning.\nExperience with CI/CD pipelines in Databricks using Databricks CLI, Terraform, or Azure DevOps.\nPreferred Qualifications\nDatabricks certification (e.g., Databricks Certified Data Engineer Professional).\nExperience with real-time streaming (e.g., using Structured Streaming, Event Hub, Kafka).\nFamiliarity with MLflow or machine learning pipeline support in Databricks.\nExperience with Power BI, Azure Purview, or Microsoft Fabric for downstream reporting.\nKnowledge of data governance, lineage, and compliance standards (GDPR, HIPAA, SOC2).\nZiosk is an Equal Opportunity employer offering competitive benefits and compensation. Candidates must be eligible to work in the U.S. and be able to commute to Plano, TX daily. Applicants must be authorized to work for any employer in the U.S. No agencies or third-party recruiters, please.","description_format":"text","description_chars":4460,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Scheduling & Booking Software"],"lifecycle":[{"event":"open","at":"2026-10-01T09:17:18Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.258,"p_room":0.28,"age_days":109,"expected_fill_days":32,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/ziosk-senior-data-engineer-on-site","json_url":"https://alion.io/job/ziosk-senior-data-engineer-on-site.json","meta":{"generated_at":"2026-10-13T00:16:26Z","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":390,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":2062621},"rest":"https://alion.io/mcp/rest/get_company?id=2062621"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fziosk-senior-data-engineer-on-site"},{"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%2Fziosk-senior-data-engineer-on-site"},{"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%2Fziosk-senior-data-engineer-on-site"},{"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/ziosk-senior-data-engineer-on-site\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fziosk-senior-data-engineer-on-site"}]}