{"id":3571570,"url":"https://alion.io/job/wpromote-senior-data-engineer-b2b-2","title":"Senior Data Engineer (B2B)","company":{"id":5789,"name":"Wpromote","domain":"wpromote.com","url":"https://alion.io/company/wpromote","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":78,"open_postings":10,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-03T05:54:40Z"}},"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":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":105000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS Glue","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Dagster","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"OpenAI Codex","optional":true}],"status":"closed","first_seen_at":"2026-10-31T16:54:27Z","employer_posted_date":null,"last_verified_at":"2026-11-01T05:41:30Z","board_verified":false,"closed_at":"2026-11-01T05:41:30Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The Role\nAs a Senior Data Engineer (B2B), you will own the development, maintenance, and evolution of data pipelines supporting Wpromote’s B2B clients and capabilities. You will work across client teams, Data Engineering, and Product to translate complex B2B marketing and business requirements into reliable, scalable data solutions.\n\nThis role will spend approximately 75–85% of its time supporting B2B client data needs, with the remaining time focused on improving and standardizing our broader B2B data capabilities.\n\nYou will own B2B data pipelines end-to-end, including implementing approved modifications to downstream pipelines and data models when necessary to meet client requirements. This role also owns the data layer for measurement and scoring programs. Measurement methodology and analysis design are owned by strategy and analytics partners, with this role building the datasets, pipelines, and validation tooling that support them. You will be expected to understand how changes flow through the broader data ecosystem, evaluate their impact, and implement solutions that preserve data quality and maintainability.\n\nAs you identify common requirements across B2B clients, you will help turn those patterns into standardized models, reusable components, and scalable B2B data capabilities that reduce repeated custom development.\n\nAt Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.\nWe offer:\n-Remote-first culture\n-Unlimited PTO\n-Extended Holiday break (Winter)\n-Flexible schedules\n-100% paid parental leave\n-401(k) matching\n-Medical, Dental, Vision, Life, Pet Insurance\n-Sponsored life insurance\n-Short Term Disability insurance and additional voluntary insurance\n-Annual Class Pass credits and more!\nThe anticipated annual salary for this role will range from $105,000-$135,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above).\n*This position may be performed remotely in most states within the US, with some exclusions\n**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!\n***This position is not eligible for immigration sponsorship\nImportant Notice: Beware of Job Scams\n\nWpromote recruiting communications will only be sent through our official channels via email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.\nYou Will Be\nOwning the design, development, deployment, and ongoing support of data pipelines for Wpromote’s B2B clients using BigQuery, dbt, Python, and orchestration frameworks.\n\nPartnering with client teams and technical stakeholders to translate B2B marketing, sales, measurement, and reporting requirements into reliable data solutions.\n\nManaging client-specific requirements throughout the data lifecycle, including making approved modifications to downstream pipelines, transformations, and data models when required.\n\nIntegrating and normalizing data across the B2B technology ecosystem, including CRM, marketing automation, ABM and intent, attribution, enrichment, sales engagement, paid media, web analytics, and first-party product usage and telemetry data.\n\nBuilding data models that connect anonymous and known engagement, leads, contacts, accounts, campaigns, opportunities, marketing touchpoints, and sales activity to support account-level measurement from initial engagement through pipeline and revenue.\n\nUnderstanding upstream and downstream dependencies, troubleshooting complex production issues, and ensuring changes maintain data quality, reliability, and scalability.\n\nStrengthening data quality through automated testing, validation, reconciliation, monitoring, and observability.\n\nIdentifying recurring requirements across B2B clients and converting them into reusable models, frameworks, and configuration-driven solutions.\n\nContributing to Wpromote’s standard B2B data architecture, including common approaches to account resolution, lifecycle stages, funnel definitions, and marketing-to-revenue measurement while maintaining flexibility for client-specific requirements.\n\nUsing AI-assisted development tools to accelerate development, debugging, testing, documentation, and codebase exploration while maintaining accountability for production code.\n\nBuilding activation pipelines that push data back out to operational systems, including syncing account segments, scores, and lifecycle stages to ad platforms, writing enriched data and tasks back to CRM, and keeping platform audiences current with warehouse state.\n\nInvestigating and validating the behavior of third-party and vendor data feeds, including delivery cadence, restatement, retention, and schema semantics, and designing pipelines that remain correct when feeds behave differently than documented.\n\nBuilding analytical datasets that support scoring model calibration and validation, such as regression inputs from CRM history, holdout construction, lift analysis, and feedback loops from sales dispositioning.\n\nYou Must Have\nBachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.\n\n5+ years of experience in data engineering, analytics engineering, or a related field, with experience independently owning production data pipelines and data models.\n\nAdvanced proficiency in SQL and BigQuery, along with intermediate to advanced programming skills in Python.\n\nStrong experience with dbt or an equivalent transformation and orchestration framework including data modeling, testing, documentation, and reusable development patterns.\n\nStrong understanding of data warehousing, dimensional modeling, data transformation, and data quality principles.\n\nHands-on data engineering or analytics experience with CRM and at least two other areas of the B2B technology ecosystem, such as marketing automation, ABM/intent, attribution, or paid media platforms. \n\nStrong understanding of B2B data models and customer journeys, including lead/contact-to-account relationships, lifecycle and funnel stages, opportunity and pipeline data, campaign membership, marketing touchpoints, and the challenges of connecting marketing activity to revenue.\n\nExperience integrating data across multiple B2B systems and reconciling differences in identifiers, entities, lifecycle definitions, business processes, and data structures.\n\nStrong problem-solving and communication skills, including the ability to navigate ambiguous client requirements, evaluate technical tradeoffs, and communicate solutions to technical and non-technical stakeholders.\n\nExperience within an advertising agency, consulting organization, or other multi-client environment.\n\nExperience with lead-to-account matching and identity resolution, including reconciling person-level and account-level data across systems.\n\nExperience reconstructing historical state from CRM and marketing data, such as lifecycle and opportunity stage history, snapshot-based feeds, and changes in account ownership or campaign membership over time.\n\nNice to Have\nExperience with platforms across the B2B ecosystem, including:\n\nCRM & Sales: Salesforce Sales Cloud, HubSpot\n\nMarketing Automation: Marketo, Pardot (Marketing Cloud Account Engagement), Eloqua\n\nABM & Intent: 6sense, Demandbase\n\nB2B Measurement & Attribution: Octane11, Adobe Marketo Measure (formerly Bizible)\n\nData Enrichment & Prospecting: ZoomInfo\n\nSales & Conversational Engagement: Salesloft, Qualified, Drift\n\nContent & Buyer Engagement: PathFactory\n\nExperience with multi-touch attribution and sourced/influenced pipeline measurement, including per-opportunity attribution models and credit window logic. \n\nExperience building B2B measurement models that connect marketing activity and media investment to account engagement, opportunities, pipeline, and revenue.\n\nExperience working with historical CRM and marketing data, including changes in lifecycle status, opportunity stages, campaign membership, account ownership, and other business events over time.\n\nExperience building reusable or configuration-driven data pipelines that support multiple clients while allowing controlled client-specific customization.\n\nExperience with data observability, lineage, metadata management, or data quality platforms.\n\nFamiliarity with orchestration technologies such as Airflow, Dagster, AWS Glue, or Azure Data Factory, along with modern software engineering practices including Git, code review, CI/CD, and testing.\n\nExperience with audience syndication and reverse ETL patterns, including platform audience APIs (DSP, LinkedIn, Meta) or tools such as Hightouch or Census.\n\nExperience managing BigQuery cost and performance across multiple clients, including partitioning, clustering, and query cost discipline.\n\nHands-on experience using AI-assisted software engineering tools such as Claude Code, OpenAI Codex, OpenCode, Cursor, GitHub Copilot, or similar tools, with the engineering judgment to review, test, and validate AI-generated solutions.\n\nWhat Success Looks Like\nSuccess in this role will center around three areas:\n\nClient Ownership: You will become a trusted technical owner for Wpromote’s B2B data pipelines, independently translating complex client requirements into reliable solutions and confidently managing changes across upstream and downstream systems.\n\nQuality: You will improve the reliability of our B2B data through stronger testing, validation, monitoring, documentation, and observability, while proactively identifying and addressing recurring data issues.\n\nScale: You will recognize common patterns across B2B clients and help turn them into standardized, reusable capabilities, reducing repeated custom development while preserving the flexibility needed to support meaningful client-specific requirements.\n\nWpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.\nApplicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state o...","description_format":"text","description_chars":12966,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Search Engine Optimization (SEO)","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-31T17:28:15Z"},{"event":"close","at":"2026-11-01T05:41:30Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":135000,"is_top_pay":false},"html_url":"https://alion.io/job/wpromote-senior-data-engineer-b2b-2","json_url":"https://alion.io/job/wpromote-senior-data-engineer-b2b-2.json","meta":{"generated_at":"2026-11-03T13:16:11Z","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":18310,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":5789},"rest":"https://alion.io/mcp/rest/get_company?id=5789"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwpromote-senior-data-engineer-b2b-2"},{"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%2Fwpromote-senior-data-engineer-b2b-2"},{"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%2Fwpromote-senior-data-engineer-b2b-2"},{"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/wpromote-senior-data-engineer-b2b-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwpromote-senior-data-engineer-b2b-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3571570}},{"tool":"search_jobs","arguments":{"company":"wpromote.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3571570},"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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