Data Engineer

🕒 July 27

🇺🇸 United States – Remote

💵 $30 - $50 / hour

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Verve

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

📱 Media

☁️ SaaS

💰 $38M Post-IPO Equity - Verve on 2025-06

Marketing • Media • SaaS

Verve is a global omnichannel advertising platform that captures, unifies, and activates high-fidelity (including ID-less) consumer signals to drive measurable outcomes for brands, agencies, publishers and DSPs across mobile, web, and connected TV. The company provides privacy-first performance marketing, retail media solutions, mobile app monetization and multi-channel monetization via direct publisher integrations, SDK and OpenRTB connections, deals libraries, and audience enrichment to improve ad performance and publisher yield.

📋 Description

• Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients • Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities • Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients • Work with our Platform team to create monitoring which ensures data integrity • Experiment with new tech to find the right tool for the job • Use Kanban to manage multiple releases per week • Maintain high code quality through code reviews and automated tests

🎯 Requirements

• 2+ years of relevant work experience • You have built customer–facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau • You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis • You’ve designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse • You’ve built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster • Familiarity with Google Cloud or AWS big data products