{"id":3420515,"url":"https://alion.io/job/cushman-wakefield-data-analytics-engineer","title":"Data Analytics Engineer","company":{"id":448742,"name":"Cushman & Wakefield","domain":"cushmanwakefield.com","url":"https://alion.io/company/cushmanwakefield-2","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":84,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":106250,"max":125000,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Delta Lake","optional":true},{"name":"Python","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-28T20:49:27Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T17:06:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title\nData Analytics EngineerJob Description Summary\nAs the Data & Analytics Engineer, you will build and maintain scalable data pipelines, data models, and organized datasets that enable reliable analytics, reporting, and business decision-making across strategic client accounts. You will translate business and data requirements into durable technical solutions, with hands-on ownership of data ingestion, transformation, integration, quality, and preparation for downstream business intelligence and visualization.As a member of Cushman & Wakefield’s Portfolio Advisory Group, the Data & Analytics Engineer will be dedicated to one or more of Cushman & Wakefield’s most dynamic client accounts. In this role, you will collaborate closely with peers and the account team to support a client's strategic real estate vision. The Data & Analytics Engineer will embody our team philosophy “Client First, Insight Always, Execution Excellence”, ensuring every deliverable reflects the team’s commitment to innovation, collaboration, and measurable impact.\nThis role will primarily:\nBuild and maintain scalable ETL/ELT pipelines and data structures that integrate information from multiple sources and make trusted data accessible for analytics and reporting.\nTransform, model, validate, and organize data so stakeholders can rely on consistent datasets for dashboards, visualization, reporting, and decision support.\nTranslate client and business requirements into practical data engineering solutions using Databricks or Microsoft Fabric, SQL, and related technologies.\nImprove data accessibility, reliability, and delivery efficiency through automation, data quality controls, documentation, and technical process improvement.\nSuccess in this role looks like:\nData pipelines consistently deliver reliable, accurate, and accessible datasets for downstream analytics and stakeholder-facing solutions.\nData models and transformations support scalable reporting and reduce dependence on manual data preparation.\nData quality controls and documentation improve confidence, consistency, and usability across analytics outputs.\nBusiness requirements are translated into maintainable technical solutions that stakeholders and analytics teams can effectively use.\nJob Description\nKey Responsibilities\nData Engineering & Pipeline Development\nDesign, develop, maintain, and troubleshoot ETL/ELT pipelines that ingest, transform, validate, and deliver data from multiple sources into centralized data platforms.\nBuild and optimize data processing workflows using Databricks or Microsoft Fabric to support scalable analytics and reporting requirements.\nAutomate and improve recurring data processes to strengthen pipeline performance, reliability, and operational efficiency.\nData Modeling & Integration\nDevelop and maintain structured data models, including dimensional models where appropriate, that support business intelligence, dashboards, reporting, and analytical use cases.\nIntegrate and organize data from multiple source systems into accessible, consistent datasets designed for downstream consumption.\nPrepare and transform data to enable visualization, reporting, business analysis, and stakeholder decision-making.\nData Quality, Governance & Reliability\nImplement data validation, quality controls, governance practices, and documentation that improve the accuracy and reliability of analytical data.\n\nIdentify and resolve data issues, inconsistencies, and pipeline failures that could affect reporting quality or stakeholder confidence.\nDocument data structures, transformations, business rules, and technical processes to support transparency, maintainability, and consistent use.\nBusiness Intelligence & Data Accessibility\nDevelop datasets and data structures that enable dashboards, visualization, reporting, and other stakeholder-facing analytical solutions.\nSupport dashboard and visualization development using Power BI or comparable business intelligence platforms.\nImprove how business users and analytics teams access and use trusted data for recurring reporting and decision support.\nStakeholder Partnership & Continuous Improvement\nPartner with client stakeholders, analytics teams, business leaders, and technical partners to gather requirements and translate business needs into technical solutions.\nCommunicate technical concepts, data limitations, dependencies, and delivery progress clearly to technical and nontechnical stakeholders.\nIdentify and implement opportunities to automate data workflows, reduce manual processes, improve maintainability, and support geospatial or location-intelligence requirements where applicable.\nQualifications\nMust-Have Requirements\nApproximately 3-4+ years of relevant experience in data engineering, analytics engineering, business intelligence, or a closely related field.\nHands-on experience with Databricks or Microsoft Fabric, including practical experience developing data solutions rather than solely consuming platform outputs.\nDemonstrated experience building, maintaining, and troubleshooting ETL/ELT pipelines.\nStrong working knowledge of SQL, data transformation, data integration, and data modeling.\nExperience preparing structured datasets for business intelligence, dashboards, reporting, visualization, or stakeholder consumption.\nUnderstanding of data quality, validation, governance, and data-management practices.\nDemonstrated ability to translate business requirements into technical deliverables and collaborate effectively with business, client, and technical stakeholders.\nPreferred Experience\nExperience working with both Databricks and Microsoft Fabric.\nExperience with Lakehouse architecture, Delta Lake, Unity Catalog, or comparable modern data-platform technologies.\nExperience using Python or another programming language for data engineering or automation.\nExperience developing or supporting solutions in Power BI, Tableau, or comparable visualization platforms.\nExperience with dimensional modeling, data warehousing, enterprise reporting, or enterprise data-management frameworks.\nExperience with Esri/ArcGIS, geospatial analytics, mapping, or location intelligence.\nExperience supporting enterprise clients, consulting engagements, client-facing analytics initiatives, or AI-enabled analytics technologies.\nTechnology & Tools\nDatabricks and/or Microsoft Fabric\nSQL and ETL/ELT development technologies\nData modeling, integration, and modern data-platform technologies\nPython\nPower BI or comparable business intelligence and visualization tools\nDelta Lake, Unity Catalog, or related Lakehouse technologies\nEsri/ArcGIS and geospatial analytics tools, where applicable\nAI-enabled analytics and automation solutions\nCapabilities\nTechnical problem-solving and structured analytical thinking.\nAbility to translate business requirements into scalable technical solutions.\nStrong attention to data accuracy, reliability, maintainability, and usability.\nClear communication of technical concepts to business and client stakeholders.\nOrganization and prioritization across concurrent technical requirements and projects.\nCross-functional collaboration across business, analytics, and technical teams.\nContinuous improvement mindset focused on automation, scalability, data accessibility, and measurable business impact.\nEducation\nBachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field preferred; equivalent relevant professional experience may be considered.\nCushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.\nThe compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.\nThe company will not pay less than minimum wage for this role.\nThe compensation for the position is: $ 106,250.00 - $125,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.\nIn compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email . Please refer to the job title and job location when you contact us.\nINCO: “Cushman & Wakefield”","description_format":"text","description_chars":9148,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial Real Estate","Property Management","Real Estate Brokerage","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-10-28T20:49:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":7,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":true},"html_url":"https://alion.io/job/cushman-wakefield-data-analytics-engineer","json_url":"https://alion.io/job/cushman-wakefield-data-analytics-engineer.json","meta":{"generated_at":"2026-10-29T21:04:51Z","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":31282,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":448742},"rest":"https://alion.io/mcp/rest/get_company?id=448742"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcushman-wakefield-data-analytics-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%2Fcushman-wakefield-data-analytics-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%2Fcushman-wakefield-data-analytics-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/cushman-wakefield-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcushman-wakefield-data-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3420515}},{"tool":"search_jobs","arguments":{"company":"cushmanwakefield.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3420515},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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