Data Engineer (Remote / Contract)
About the role
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.
We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology.
Responsibilities include
- 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
We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.