1 день назад
Senior Data Engineer (B2B)
105 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (B2B) (BigQuery/dbt/Python): Building and maintaining scalable data pipelines, models, measurement datasets, and activation workflows for B2B marketing and revenue data with an accent on CRM integration, identity resolution, data quality, and client-specific requirements. Focus on standardizing reusable multi-client capabilities, reconciling complex third-party data feeds, and connecting account engagement to opportunities, pipeline, and revenue.
Location: Remote within most states in the United States, with some exclusions. Office hubs are available in Los Angeles, Chicago, and New York for optional in-person collaboration and events.
Salary: $105,000–$135,000 annual, plus benefits.
Company
is a digital marketing agency supporting B2B clients through data, marketing, measurement, and revenue solutions.
What you will do
- Own the design, development, deployment, maintenance, and support of B2B data pipelines using BigQuery, dbt, Python, and orchestration frameworks.
- Translate B2B marketing, sales, measurement, and reporting requirements into reliable data solutions across client, engineering, and product stakeholders.
- Integrate and normalize data from CRM, marketing automation, ABM and intent, attribution, enrichment, paid media, web analytics, and product telemetry systems.
- Build account-level datasets and models connecting engagement, leads, contacts, campaigns, opportunities, touchpoints, sales activity, pipeline, and revenue.
- Strengthen data quality with automated testing, validation, reconciliation, monitoring, observability, documentation, and troubleshooting.
- Develop reusable models, configuration-driven frameworks, activation pipelines, and standardized B2B data capabilities for multiple clients.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in data engineering, analytics engineering, or a related field, including independent ownership of production data pipelines and models.
- Advanced SQL and BigQuery skills, intermediate to advanced Python, and strong experience with dbt or an equivalent transformation and orchestration framework.
- Strong understanding of data warehousing, dimensional modeling, data transformation, data quality, and B2B customer journeys.
- Hands-on CRM experience plus experience with at least two other B2B technology areas, such as marketing automation, ABM/intent, attribution, or paid media.
- Experience with identity resolution, lead-to-account matching, historical CRM and marketing data, multi-system integration, and work in an advertising agency, consulting, or multi-client environment.
Nice to have
- Experience with Salesforce, HubSpot, Marketo, Pardot, Eloqua, 6sense, Demandbase, ZoomInfo, Salesloft, Qualified, Drift, PathFactory, Octane11, or Adobe Marketo Measure.
- Knowledge of multi-touch attribution, sourced or influenced pipeline measurement, and marketing-to-revenue measurement models.
- Experience with reusable multi-client pipelines, data observability, lineage, metadata management, reverse ETL, audience APIs, Hightouch, or Census.
- Familiarity with Airflow, Dagster, AWS Glue, Azure Data Factory, Git, code review, CI/CD, testing, and BigQuery cost and performance optimization.
- Experience with AI-assisted software engineering tools and validating AI-generated code.
Culture & Benefits
- Remote-first work culture with flexible schedules.
- Unlimited PTO and an extended winter holiday break.
- 100% paid parental leave.
- 401(k) matching and medical, dental, vision, life, pet, short-term disability, and additional insurance options.
- Annual Class Pass credits and opportunities to use office hubs for collaboration, learning, and events.
- Immigration sponsorship is not available for this position.
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