Data Engineer (Remote / Contract)

Who We Are

Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com.

Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

Responsibilities

• 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

Here are a few indicators that you're the right person

• You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks
• You want to be part of a small team inside a large company with massive opportunity for growth
• You enjoy collaboration with other teams including product, biz dev, and our in-house QA team
• You eagerly dig into complex engineering problems

Preferred skills and experiences

• 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