Senior Data Engineer

Senior Data Engineer (B2B) Permanent, Direct Hire 100% Remote within the USThe RoleAs a Senior Data Engineer (B2B), you will own the development, maintenance, and evolution of data pipelines supporting 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. This 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. You 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. As 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. You Must Have • 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, with experience independently owning production data pipelines and data models. • Advanced proficiency in SQL and BigQuery, along with intermediate to advanced programming skills in Python. • Strong experience with dbt or an equivalent transformation and orchestration framework including data modeling, testing, documentation, and reusable development patterns. • Strong understanding of data warehousing, dimensional modeling, data transformation, and data quality principles. • Hands-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. • Strong 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. • Experience integrating data across multiple B2B systems and reconciling differences in identifiers, entities, lifecycle definitions, business processes, and data structures. • Experience within an advertising agency, consulting organization, or other multi-client environment. • Experience with lead-to-account matching and identity resolution, including reconciling person-level and account-level data across systems. • Experience 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.