tvScientific
51 - 200 employees
Founded 2020
📱 Media
☁️ SaaS
🤝 B2B
Media • SaaS • B2B
tvScientific is a performance-focused Connected TV (CTV) advertising platform that uses AI-powered optimization to deliver measurable business outcomes like installs, sales, and traffic. The platform provides inventory access, targeting, creative management, measurement & attribution, and real-time reporting with a unified dashboard and transparent analytics. tvScientific positions itself as a pay-for-performance solution for consumer brands, offering guaranteed outcomes, brand safety controls, and integrations for scale.
Senior Data Engineer
Job not on LinkedIn
🕒 February 27
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
tvScientific
51 - 200 employees
Founded 2020
📱 Media
☁️ SaaS
🤝 B2B
Media • SaaS • B2B
tvScientific is a performance-focused Connected TV (CTV) advertising platform that uses AI-powered optimization to deliver measurable business outcomes like installs, sales, and traffic. The platform provides inventory access, targeting, creative management, measurement & attribution, and real-time reporting with a unified dashboard and transparent analytics. tvScientific positions itself as a pay-for-performance solution for consumer brands, offering guaranteed outcomes, brand safety controls, and integrations for scale.
📋 Description
• Implement robust data infrastructure in AWS, using Spark with Scala • Evolve our core data pipelines to efficiently scale for our massive growth • Store data in optimal engines and formats • Collaborate with our cross-functional teams to design data solutions that meet business needs • Built out fault-tolerant batch and streaming pipelines • Leverage and optimize AWS resources while designing for scale • Collaborate closely with our Data Science and Product teams
🎯 Requirements
• Production data engineering experience • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala • Familiarity with data lakes, cloud warehouses, and storage formats • Strong proficiency in AWS services • Expertise in SQL for data manipulation and extraction • Excellent written and verbal communication skills • Bachelor's degree in Computer Science or a related field • Nice-to-Haves • Experience in adtech • Experience implementing data governance practices, including data quality, metadata management, and access controls • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data • Familiarity with data table formats like Apache Iceberg, Delta
🏖️ Benefits
• Information regarding the culture at Pinterest and benefits available for this position can be found here.
Apply NowSimilar Jobs
🕒 February 26
GCP Data Engineer designing, building, and owning scalable data platforms on Google Cloud. Collaborate with stakeholders, analysts, and data scientists to deliver reliable data pipelines and analytics platforms.
🕒 February 26
Data Engineer designing and maintaining data pipelines for SumerSports, a football intelligence technology company. Collaborating with ML and AI teams to ensure seamless data integration.
🕒 February 25
Zigsaw
11 - 50
Senior Data Engineer at Pinterest, focusing on building data infrastructure for tvScientific ad platform. Collaborating with teams to design efficient data solutions in AWS.
🕒 February 25
Data Engineer responsible for building and maintaining data pipelines using DBT and Snowflake. Ensuring data quality and reliability for B2B customers across the platform.
🇺🇸 United States – Remote
💰 $6M Seed Round - RevenueBase on 2022-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🕒 February 25
Senior System Software Engineer leading the evolution of NVIDIA's Data & Observability Platform. Focus on full-stack solutions for high-performance systems with observability expertise.
🇺🇸 United States – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
