{"id":3985225,"url":"https://alion.io/job/quote-com-remote-senior-data-engineer","title":"[Remote] Senior Data Engineer","company":{"id":1959809,"name":"Quote.com","domain":"quote.com","url":"https://alion.io/company/quote-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T21:19:41Z","employer_posted_date":null,"last_verified_at":"2026-11-09T21:19:41Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Quote.com is seeking a Senior Data Engineer to own and enhance the data infrastructure supporting marketing performance, revenue reporting, and business intelligence. The role builds and operates reliable pipelines and conversion feedback systems using Python, SQL, dbt, BigQuery, and Google Cloud Platform, while partnering with Marketing, Finance, Data Analytics, and Partner Management.\n\nResponsibilities\nDesign, maintain, and optimize production data pipelines that ingest partner revenue, advertising costs, and site activity into BigQuery\nDevelop and maintain Python-based ingestion services using Cloud Run, Cloud Functions, and third-party integrations, including REST APIs, SFTP, webhooks, and scheduled reports\nOwn the dbt transformation layer, developing reliable revenue, lead, and marketing funnel models with appropriate testing and documentation\nMaintain integrations with Google Ads, Meta, and Microsoft Ads to deliver offline conversion and revenue data for campaign optimization\nManage advertising cost and performance data from Google Ads, Funnel.io, Google Search Console, and related platforms\nCollaborate with Finance and Analytics teams to support revenue reconciliation, month-end close, executive reporting, and Looker dashboards\nMonitor pipeline health, troubleshoot failures, investigate data discrepancies, and improve alerting and observability\nMaintain responsible handling of personally identifiable information (PII), including privacy-related data requests, secure access, and credential management\nModernize existing infrastructure by consolidating legacy services, improving CI/CD workflows, and bringing configuration under version control\nContribute to technical planning, documentation, and continuous improvements to data reliability and operational efficiency\n\nSkills\nHands-on expertise with:\nLanguages: Python and SQL\nData Engineering: Building and maintaining production ETL/ELT pipelines, data ingestion, transformation, and reconciliation\nData Warehousing: BigQuery or comparable cloud data warehouses\nTransformation Tools: dbt, including model development, testing, documentation, and scheduling\nCloud Infrastructure: Google Cloud Platform, including Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub, Secret Manager, and IAM\nIntegrations: REST APIs, SFTP, CSV/Excel data feeds, webhooks, and third-party data sources\nVersion Control: Git and modern CI/CD workflows, including GitHub Actions or equivalent\nData Quality: Deduplication, reconciliation, attribution, timezone handling, and management of late-arriving or corrected data\nYou should have experience owning and supporting production data systems in a Data Engineering , Analytics Engineering , or Cloud Data Engineering capacity\n4+ years of professional experience building and operating production data pipelines using Python and SQL\nStrong understanding of data architecture, cloud-based data platforms, and scalable ETL/ELT processes\nDemonstrated experience independently owning production systems, including troubleshooting, root-cause analysis, and incident resolution\nStrong attention to data accuracy, reliability, and consistency across multiple sources and reporting systems\nExcellent problem-solving skills and the ability to diagnose complex issues across interconnected systems\nEffective communicator who can collaborate with technical and non-technical stakeholders across Marketing, Finance, and Engineering\nComfortable balancing planned engineering initiatives with ongoing operational responsibilities and stakeholder requests\nPassionate about automation, documentation, observability, and continuous improvement\nMarketing Platforms: Google Ads API, Google Data Manager API, Meta Conversions API, Microsoft Ads\nMarketing Analytics: Performance marketing, conversion attribution, GCLID/GBRAID tracking, and offline conversion matching\nBusiness Intelligence: Looker, LookML, or comparable BI and reporting platforms\nData Integrations: Funnel.io and Google Search Console\nIndustry Experience: Insurance, lead generation, affiliate marketing, or performance marketing\nData Privacy: PII handling, CCPA/GDPR-related data requests, and hashed-identifier processing\nInfrastructure: Experience migrating legacy services, modernizing cloud infrastructure, and improving deployment automation\nTools: JIRA / Atlassian Suite, Slack\nExperience or familiarity with any of the following:\n\nBenefits\nAnnual performance-based bonus based on experience and level of technical ownership\n401(k) with a competitive company match\nHealth insurance, including HSA option\nDental and vision coverage\nLife and AD&D insurance\nFully remote company with flexible schedules to support balance and wellness\nOpportunity to take ownership of critical data infrastructure, improve engineering practices, and influence the evolution of the data platform\nJoin a high-performing team where speed, trust, and autonomy are core to how we work\n\nCompany Overview\nQuote.com is a tech-enabled omnichannel performance marketing organization that delivers high-quality, mission-critical demand at scale to industry leading partners. It was founded in 2007, and is headquartered in Tampa, US, with a workforce of 51-200 employees. 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