Data Engineering Lead (snowflake And Python)

Merkle

Georgia, US
Base: $94,000 - $121,000; bonus/equity: not specif...
Fully remote
Data pipelines for firmographic, professional, and consumer data
B2b identity data experience
Python, sql, snowflake proficiency
Partner with product leaders to translate strategy into technical workstreams and delivery plans, ensuring engineering decisions support product goals around data quality, availability, accuracy, and linkage completeness

Job Summary

  • Partner with product leaders to translate strategy into technical workstreams and delivery plans, ensuring engineering decisions support product goals around data quality, availability, accuracy, and linkage completeness.
  • Design and maintain scalable, observable, high-quality data pipelines and implement logic that connects professional B2B contacts with consumer identities, applying best practices for schema design and documentation.
  • Lead and mentor a distributed engineering team, promoting consistent standards in coding, testing, deployment, and observability, while using AI to accelerate development and operations.

Matching Summary

Partner with product leaders to translate strategy into technical workstreams and delivery plans, ensuring engineering decisions support product goals around data quality, availability, accuracy, and linkage completeness.

Salary

Base: $94,000 - $121,000; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, life, disability, 401k, PTO, holidays, sick leave, parental leave

Skills & Requirements

Must-have

  • Data pipelines for firmographic, professional, and consumer data
  • B2B identity data experience
  • Python, SQL, Snowflake proficiency
  • Lead and mentor engineering team
  • AI for engineering tasks
  • CI/CD, observability

Nice-to-have

  • Third-party B2B data provider integration
  • Consumer identity systems familiarity
  • Privacy, consent, and data governance understanding
  • AI throughout SDLC experience

Key Requirements

  • 8+ years in data engineering or related fields
  • 5+ years with B2B identity data
  • Experience delivering B2B data products
  • Experience integrating with identity systems
  • Experience with offshore engineering partners

Work Rights

Not specified

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