
DevOps Engineer
1 week ago
Role Description
- Develop and maintain backend systems that power data products
- Build and optimize data pipelines for log ingestion, transformation, and enrichment
- Implement joins and resolution logic across identifiers (email hash, MAID, NPI, IP, device IDs, etc.)
- Work within Snowflake to build segment definitions, scoring models, and activation-ready audiences
- Collaborate on the development of reporting APIs and planning tools that will feed into downstream dashboards
- Support integrations with 3rd-party vendors (e.g., Liveramp, DSPs)
- Ensure data governance, privacy compliance, and jurisdictional filtering rules are implemented in code
Required Skills
- Strong written and verbal English communication skills, must be able to collaborate across Teams, GitHub, and calls with US-based leadership
- 3–6 years of professional experience in backend or data engineering
- Strong Python (you should be comfortable writing clean, maintainable code)
- Advanced SQL and schema design experience (preferably in Snowflake or equivalent columnar warehouse)
- Experience with data pipelines (ETL/ELT, Airflow, or custom serverless pipelines)
- Familiarity with hashed identifiers and identity resolution concepts
- Familiarity with AWS - MySQL Redshift Athena
Nice to Have
- Working knowledge of PHP and Javascript
- Ad tech domain knowledge (e.g., DSP/SSP, cookies, bid logs, win rates)
- Prior work with medical taxonomies, or claims-based data
- Understanding of data privacy principles (e.g., opt-in, consent, region-specific rules like CPRA or HIPAA)
- Exposure to predictive modeling, audience scoring, or engagement analytics
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