Data Engineer
Company: Sundayy
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-11
About this role
About The Company
Verve For Advertisers is a leading technology company dedicated to empowering brands and agencies by enabling them to connect moments of discovery and drive measurable outcomes across various screens. Our innovative platform unifies demand-side offerings, leveraging the largest on-site search intent dataset outside of walled gardens, along with direct SDK integrations with top applications and extensive data partnerships with over 3 million websites. Our advanced technology captures both consumer actions and motivations, providing high-fidelity audiences, actionable insights, and seamless activation across premium omnichannel inventory. As part of our commitment to innovation and excellence, we continuously enhance our capabilities to deliver impactful advertising solutions that meet the evolving needs of our clients.
About The Role
We are seeking a skilled Data Engineer to join our dynamic engineering team. In this full-time position, you will play a crucial role in managing and expanding our diverse set of data initiatives. The ideal candidate will collaborate closely with product and strategy teams to develop customized reporting solutions tailored to our clients’ needs. You will be responsible for integrating new internal and third-party data sources, streamlining processes for rapid prototyping, and ensuring data integrity through effective monitoring. This role offers the flexibility of working on-site at our New York City headquarters, with a focus on leveraging cutting-edge technologies to enhance our data infrastructure and reporting capabilities. The successful candidate will thrive in a fast-paced environment, demonstrating a passion for solving complex engineering problems and contributing to the growth of a pioneering ad tech company.
Qualifications
- Minimum of 2+ years of relevant work experience in data engineering or related fields
- Proficiency in SQL and experience manipulating large structured or unstruc...