Data Engineer

About Verve For Advertisers

Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

Job Overview

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. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours.

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

About You

• 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

Key skills/competency

• Data Engineering
• SQL
• Data Warehousing
• ETL/ELT
• Data Visualization
• API Integration
• Cloud Platforms (GCP/AWS)
• Problem Solving
• Collaboration
• Code Quality