Data Engineer

November 10

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Screenverse

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Advertising • Media

Screenverse is a leader in digital out-of-home (DOOH) advertising, offering a vast network of digital screens across major venues such as digital billboards, urban panels, and residential locations. They specialize in programmatic buying, allowing brands to leverage their extensive inventory for national or hyper-localized campaigns. Screenverse combines unparalleled expertise in programmatic channels with a wide reach across 210 Designated Market Areas (DMAs) in the continental U. S. , providing impactful campaigns that are blockable and brand-safe. Their strategic placement of digital advertising screens allows brands to connect with desired demographics through precise targeting and engaging visuals, making them a key player in the digital advertising industry.

11 - 50 employees

📱 Media

📋 Description

• Building out ETL pipelines and data infrastructure to support our reporting and analytics needs, owning efforts currently handled by senior engineering leadership. • Taking ownership of data quality and reliability, implementing monitoring and governance practices that ensure our Finance, Sales, Customer Success, and Supply Partnership teams can trust the data they rely on daily. • Stabilizing and improving our existing Postgres-based data pipelines that power billing and revenue reconciliation processes for our Finance team. Your work will directly enable the team to scale efficiently and grow our partner base. • Designing and implementing our migration to a modern data warehouse architecture, laying the groundwork for improved analytics and self-service reporting capabilities. • Contributing to our data strategy roadmap, from identifying pain points to independently driving infrastructure improvements. We’re open to adding new tools and implementing new infrastructure based on utility. • Collaborating closely with stakeholders from our Product team to business users across the organization to understand requirements and deliver reliable data solutions. • Establishing data engineering best practices and documentation standards as we build out the data function for future team growth.

🎯 Requirements

• 3+ years of data engineering experience, but we value quality of experience over quantity. • Expert-level SQL skills with deep knowledge of PostgreSQL, including database design, performance optimization, and working with large datasets. • Experience building and maintaining high-throughput production data pipelines, with a heavy emphasis on data quality. • Delivery-focused and able to succeed in a dynamic startup environment where initiative and ownership are celebrated. • Capable of diagnosing and fixing complex data pipeline issues while simultaneously planning for future infrastructure needs. • Data evangelist who champions best practices throughout the organization and understands the value in monitoring, testing, and proper documentation. • Excels in a collaborative, fully remote environment and can communicate effectively with both technical and business stakeholders. Comfortable with asynchronous dialogue. • Comfortable taking lead role on build vs buy when faced with infrastructure decisions and capable of vetting potential solutions.

🏖️ Benefits

• Fully remote employment from anywhere in, or between, Pacific and Central Europe timezones. • Flexible PTO and unlimited sick days. • Comprehensive health and wellness benefits. • Company-matched retirement savings. • Life, short-term, long-term disability coverage. • $500 home office stipend. • Stock options. • Parental leave: 6 weeks of leave at full pay. Primary caregivers receive an additional 6 weeks. • Annual Company Offsite: A dedicated time each year for the full team to connect in person, reflect, collaborate, and have fun together. • Summer Fridays: Extra flexibility during the summer months to start the weekend early and recharge.