tvScientific

tvScientific offers a pioneering Connected TV advertising and marketing platform that integrates traditional television's impact with the effectiveness of digital advertising, specifically tailored for performance marketers.

Media

Consumer Discretionary

11-50 (30)

Founded 2020

$22M raised

4 open positions

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Staff Data Engineer

1 hour, 45 minutes ago

United States

Full-time

Lead

Data Engineer

Software Development

Apache Spark AWS Scala SQL

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tvScientific

Media

11-50

Founded 2020

$22M raised

View All Jobs 4

Description

Design and implement robust data infrastructure in AWS using Spark with Scala.
Evolve core data pipelines to support rapid scale and company growth.
Store data in optimal engines and formats based on performance and cost needs.
Collaborate with cross-functional teams to design data solutions that meet business requirements.
Design and implement knowledge graphs and expose them through batch processing and APIs.
Leverage and optimize AWS resources while designing systems for scale.
Work closely with Data Science and Product teams on data initiatives.
Implement automated data quality checks with strong attention to detail.
Define and execute a strategic vision for data engineering as an individual contributor.

Requirements

Production data engineering experience.
Proficiency in Spark and Scala, including building data infrastructure with Spark using Scala.
Experience delivering significant technical initiatives and building reliable, large-scale services.
Experience delivering APIs backed by relationship-heavy datasets.
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.
Experience in adtech (preferred).
Experience implementing data governance practices, including data quality, metadata management, and access controls (preferred).
Strong understanding of privacy-by-design principles and handling sensitive or regulated data (preferred).
Familiarity with data table formats such as Apache Iceberg and Delta (preferred).
Previous experience building out a Data Engineering function (preferred).
Proven experience working closely with Data Science teams on machine learning pipelines (preferred).

Benefits

Base salary range of $155,584 to $320,320 USD for US-based applicants.
Eligible for equity.
Remote-friendly working model.
No relocation assistance provided.
Access to Pinterest culture and benefits information for the role.

Interested in this position?

Apply directly on the company website

Apply Now

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