{"id":859783,"url":"https://alion.io/job/statusneo-martech-engineer-staff-augmentation-consultant","title":"MarTech Engineer – Staff Augmentation Consultant","company":{"id":1830,"name":"StatusNeo","domain":"statusneo.com","url":"https://alion.io/company/statusneo","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"C","score":67,"open_postings":22,"ghost_share":0.545,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-11T12:30:26Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":62},"description":"This is a remote position.\nStatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.\nWe work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.\nOur work is anchored in Authentic AI™ - an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.\nAt StatusNeo, we don’t just talk about AI transformation.\nWe build it - across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.\nMarTech Engineer - Staff Augmentation Consultant\nAbout the Role\nWe are seeking a hands-on MarTech Engineer to provide technical expertise across our marketing technology ecosystem, including CDP, email/marketing automation, analytics, personalization, and reporting.\nThis is not a traditional application or API development role. The consultant will focus on hands-on platform configuration, segmentation, data ingestion and transformation, Python scripting, implementation, troubleshooting, and operational support while applying appropriate SDLC practices.\nKey Responsibilities\n CDP & Data: Serve as a technical SME for our CDP (Treasure AI preferred). Configure data sources, destinations, schemas, transformations, complex audience segments, and activation workflows. Develop Python scripts for custom data imports, transformation, validation, and automation. Troubleshoot data ingestion, quality, segmentation, and activation issues.\nEmail & Marketing Automation: Serve as a hands-on HubSpot technical SME. Configure complex segments, workflows, campaigns, personalization, and email journeys. Build and maintain email templates, modules, and landing page templates using HubSpot. Troubleshoot campaign, segmentation, workflow, and delivery issues.\nAnalytics: Support implementation, configuration, instrumentation, and troubleshooting for digital analytics platforms, preferably Adobe Customer Journey Analytics (CJA), Amplitude, or similar. Understand behavioral/event data flows and support campaign and customer journey measurement.\nPersonalization & Experimentation: Configure and support personalization and experimentation capabilities using Kameleoon or similar platforms, including audiences, targeting rules, experiments, and personalization experiences.\nReporting: Develop and maintain Tableau dashboards and reports, including data validation and troubleshooting of reporting discrepancies.\nCross-Platform Engineering: Understand and troubleshoot end-to-end data flows across MarTech platforms. Document architecture, configurations, data flows, audience logic, and operational procedures. Apply SDLC practices across requirements, configuration/development, testing, deployment, change management, and production support.\nQualifications\nStrong hands-on experience with enterprise MarTech platforms and ecosystems.\nDeep experience with HubSpot or similar email/marketing automation platforms, including complex segmentation, workflows, email templates, and landing pages.\nHands-on CDP experience, preferably Treasure AI, including data ingestion, transformation, segmentation, and activation.\nStrong Python scripting skills for data processing, custom imports, transformation, validation, and automation.\nExperience with CJA, Amplitude, or similar analytics platforms.\nExperience with Kameleoon or similar personalization/experimentation platforms.\nHands-on Tableau reporting/dashboard experience.\nStrong understanding of data structures, schemas, customer/event data, segmentation, and end-to-end data flows.\nWorking knowledge of SQL, HTML/CSS, SDLC, source control, testing, and release/change management.\nUnderstanding of APIs and integration patterns for troubleshooting and collaboration; 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