{"id":2879124,"url":"https://alion.io/job/living-spaces-marketing-data-engineer","title":"Marketing Data Engineer","company":{"id":2079863,"name":"Living Spaces","domain":"livingspaces.com","url":"https://alion.io/company/livingspaces-com","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":83,"open_postings":29,"ghost_share":0,"stale_share":0.69,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["La Mirada, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":479},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Outlook","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-20T16:36:26Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Position Summary \nThe Marketing Data Engineer designs, builds, automates, and maintains the data infrastructure that powers Marketing Analytics Intelligence. This role develops reliable data pipelines, integrations, and data models that support reporting, analysis, and decision-making across the marketing organization. The Marketing Data Engineer partners with analysts and business stakeholders to ensure data is accurate, accessible, and scalable while continuously improving the efficiency and reliability of marketing data operations.Position Description \nEssential Duties and Responsibilities include the following. Other duties may be assigned.\nDesign, develop, and maintain automated data pipelines and workflows using Alteryx, Google Cloud Platform, SQL, and Python.\nBuild, maintain, and troubleshoot API integrations with digital marketing and advertising platforms to support reliable data ingestion.\nOwn the full lifecycle of assigned data pipelines, including design, data preparation, coding, testing, deployment, monitoring, optimization, and support.\nMonitor pipelines proactively and resolve data inconsistencies, gaps, and processing errors before they affect reporting or analysis.\nCollect, cleanse, validate, transform, and document marketing data from multiple sources.\nDevelop and maintain data models, databases, and reusable datasets that support analytics, reporting, and self-service analysis.\nPartner with analysts and stakeholders to gather business and technical requirements and translate them into scalable data solutions.\nEnsure data structures support accurate measurement of key marketing metrics, including ROAS, CPA, CTR, reach, engagement, conversion rate, and attribution.\nSupport dashboard and reporting environments by ensuring underlying data is complete, accurate, and timely.\nMaintain technical documentation for pipelines, integrations, data definitions, and processes to support knowledge sharing and business continuity.\nDevelop automation solutions and implement improvements that increase the speed, reliability, scalability, and maintainability of data operations.\nApply AI and large language model (LLM) tools to enhance data engineering workflows, including data cleansing, anomaly detection, documentation, and code generation.\nQualifications \nEducation/Experience: Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or an equivalent combination of education and experience. Minimum of three years of experience in data engineering, ETL/ELT development, or technical data infrastructure. Hands-on experience automating data ingestion, transformation, and integration processes is required. Experience working with digital marketing data, including advertising platform APIs, campaign performance data, or customer journey data, is expected.\nTechnical Skills: Proficiency in Microsoft Office, including Word and Outlook. Advanced proficiency in SQL and Python. Strong working knowledge of Google Cloud Platform, including BigQuery, Cloud Composer/Airflow, Dataflow, Cloud Functions, Pub/Sub, and Cloud Storage. Experience with API integrations for digital marketing and advertising platforms, including Google Ads, Meta, Amazon Ads, Adobe Analytics, or similar platforms. Working knowledge of ETL/ELT tools such as dbt, Airflow, and Alteryx, and version control systems such as Git. Familiarity with Tableau or Power BI is preferred.\nCertificateNone required.\nSupervisory Responsibilities\nThis position does not have formal supervisory responsibilities.\nPosition Hiring Range\nThe hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.\nCompensation: $90,000.00 - $120,000.00Overtime pay is available for eligible, non-exempt Team Members. Reimbursement for expenses as required by applicable law and Company policy. Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.\nAdditional available benefits upon meeting eligibility requirements include:\nMedical (full-time only)\n\nDental (full-time only)\n\nVision (full-time only)\n\n401(k) with Company match (full and part-time)\n\nVacation (full-time only or as otherwise required by applicable law)\n\nPaid Sick Leave (full and part-time)\n\nFlex or Health Spending Account (for eligible full-time only)\n\nEmployee Assistance Program (full and part-time)\n\nHoliday pay (full-time only)\n\nLife insurance (full-time only)\n\nFor more details, please visit our website at: Careers (livingspaces.com)\nEqual Opportunity Employer\nIt is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.\nE-Verify\nLiving Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.\nApplicant Privacy","description_format":"text","description_chars":5962,"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":["Equity","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Furniture","Home Decor"],"lifecycle":[{"event":"open","at":"2026-10-19T22:18:49Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":8,"expected_fill_days":32,"reasons":["conf:13","stale_co","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/living-spaces-marketing-data-engineer","json_url":"https://alion.io/job/living-spaces-marketing-data-engineer.json","meta":{"generated_at":"2026-10-21T21:53:39Z","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":31158,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":2079863},"rest":"https://alion.io/mcp/rest/get_company?id=2079863"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fliving-spaces-marketing-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%2Fliving-spaces-marketing-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%2Fliving-spaces-marketing-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/living-spaces-marketing-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fliving-spaces-marketing-data-engineer"}]}