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Senior Data Engineer (Data Architecture)

38 minutes ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Airflow CI/CD CRM Dagster dbt Facebook Ads GCP Git Google Ads Google Analytics Python SQL
Apply Now
Wpromote

Wpromote

Wpromote is The Challenger Agency, specializing in digital marketing and customer acquisition that exceeds expectations.

Media
251-1K
Founded 2001
View All Jobs 35

Description

  • Design, build, deploy, and maintain scalable data pipelines and shared data products using BigQuery, dbt, Python, and orchestration frameworks.
  • Translate business requirements into reliable technical solutions with Product, Engineering, and client teams.
  • Identify recurring client patterns and convert them into reusable models, frameworks, ingestion patterns, and shared capabilities.
  • Strengthen data quality through automated testing, validation, reconciliation, monitoring, and observability.
  • Improve pipelines and architecture for scalability, maintainability, performance, and cost efficiency.
  • Integrate and normalize data from APIs and third-party MarTech and AdTech platforms.
  • Manage production pipelines, troubleshoot complex issues, and implement systemic improvements.
  • Contribute to technical designs, architecture discussions, code reviews, and engineering standards while mentoring Data Engineers.
  • Use AI-assisted development tools for development, debugging, testing, documentation, and code review while validating production code.

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, data architecture, or a related field.
  • Proven ability to independently design and deliver production data pipelines and models.
  • Advanced SQL and BigQuery proficiency, with strong relational and analytical database knowledge.
  • Intermediate to advanced Python programming skills.
  • Strong dbt experience, including modeling, testing, documentation, and reusable development patterns.
  • Strong understanding of data warehousing, dimensional modeling, data transformation, and data quality.
  • Experience improving or refactoring systems for reusability, reliability, and scalability.
  • Familiarity with Airflow, Dagster, AWS Glue, or Azure Data Factory, plus Git, code review, CI/CD, and testing.
  • Experience with AI-assisted engineering tools, multi-client or advertising environments, marketing data, or reusable configuration-driven pipelines is preferred.

Benefits

  • $105,000–$135,000 anticipated annual salary.
  • Remote-first work with flexible schedules; eligible to work remotely in most U.S. states.
  • Unlimited PTO and an extended winter holiday break.
  • 100% paid parental leave.
  • 401(k) matching.
  • Medical, dental, vision, life, pet, short-term disability, and voluntary insurance options.
  • Annual Class Pass credits and access to Los Angeles, Chicago, and New York office hubs.

Interested in this position?

Apply directly on the company website

Apply Now

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