Senior Data Engineer – B2B

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the development, upkeep, and advancement of data pipelines that support Wpromote’s B2B clients and services.

• Convert intricate B2B marketing and business needs into dependable, scalable data solutions.

• Manage B2B data pipelines comprehensively, including approved adjustments to downstream pipelines and data models.

• Create datasets, pipelines, and validation tools for measurement and scoring initiatives.

• Assess the effects of changes across the wider data ecosystem while maintaining data quality and ease of maintenance.

• Transform recurring client requirements into standardized models, reusable components, and scalable B2B data capabilities.

• Design, develop, deploy, and provide support for pipelines utilizing BigQuery, dbt, Python, and orchestration frameworks.

• Integrate and normalize data from CRM, marketing automation, ABM and intent, attribution, enrichment, sales engagement, paid media, web analytics, and product telemetry systems.

• Construct account-level measurement data models that link engagement, leads, contacts, accounts, campaigns, opportunities, touchpoints, and sales activities.

• Diagnose production issues and manage both upstream and downstream dependencies.

• Enhance data quality through automated testing, validation, reconciliation, monitoring, and observability.

• Contribute to standard B2B data architecture and create reusable, configuration-driven solutions.

• Utilize AI-assisted development tools for coding, debugging, testing, documentation, and codebase exploration.

• Establish activation and reverse ETL pipelines to operational systems and advertising platforms.

• Research and validate third-party and vendor data feeds.

• Develop analytical datasets that support scoring model calibration and validation.

• Collaborate with client teams, Data Engineering, and Product.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

• Over 5 years of experience in data engineering, analytics engineering, or a related field.

• Proven experience in independently managing production data pipelines and data models.

• Advanced expertise in SQL and BigQuery.

• Intermediate to advanced programming capabilities in Python.

• Significant experience with dbt or a comparable transformation and orchestration framework.

• Strong comprehension 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 domains within the B2B technology ecosystem.

• Thorough understanding of B2B data models and customer journeys.

• Experience in integrating data across multiple B2B systems and reconciling discrepancies in identifiers, entities, lifecycle definitions, business processes, and data structures.

• Strong problem-solving and communication abilities.

• Experience in an advertising agency, consulting firm, or other multi-client environments.

• Familiarity with lead-to-account matching and identity resolution.

• Experience in reconstructing historical states from CRM and marketing data.

• This position is not eligible for immigration sponsorship.

• Must be authorized to work in the U.S.

🏝️ Benefits

• Remote-first culture.

• Unlimited PTO.

• Extended holiday break (Winter).

• Flexible schedules.

• 100% paid parental leave.

• 401(k) matching.

• Medical, Dental, Vision, Life, and Pet Insurance.

• Sponsored life insurance.

• Short Term Disability insurance and additional voluntary insurance.

• Annual Class Pass credits.