Software Engineer (Big Data, tvScientific)

TvScientific is the first and only CTV advertising platform purpose-built for performance marketers

We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes

Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform

Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company

You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats

This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization

Design and 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, matching your designs to our performance needs and cost factors

Collaborate with our cross-functional teams to design data solutions that meet business needs

Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs

Leverage and optimize AWS resources while designing for scale

Collaborate closely with our Data Science and Product teams

How we’ll define success:

Successful design and implementation of scalable and efficient data infrastructure

Timely delivery and optimization of data assets and APIs

High attention to detail in implementation of automated data quality checks

Effective collaboration with cross-functional teams- Strong proficiency in AWS services

Expertise in SQL for data manipulation and extraction

Bachelor’s degree in Computer Science or a related field

Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs

Excellent written and verbal communication skills

High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred

Familiarity with data lakes, cloud warehouses, and storage formats

Experience in delivering APIs backed by relationship-heavy datasets

Production data engineering experience

Experience in delivering significant technical initiatives and building reliable, large scale services

Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)

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

Previous experience building out a Data Engineering function

Proven experience working closely with Data Science teams on machine learning pipelines