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Staff Data Engineer, tvScientific

2 hours, 16 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Spark AWS Machine Learning Scala SQL
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 50

Description

  • Design and implement robust data infrastructure in AWS using Spark and Scala.
  • Evolve core data pipelines to support scaling and business growth.
  • Store data in optimal engines and formats aligned to performance and cost needs.
  • Collaborate with cross-functional teams to design data solutions that meet business needs.
  • Design and implement knowledge graphs exposed through batch processing and APIs.
  • Leverage and optimize AWS resources while designing 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 implement 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.
  • Demonstrated ability to use AI to improve speed and quality in day-to-day workflow.
  • Strong track record of critical evaluation and verification of AI-assisted work, including testing, source-checking, data validation, and peer review.
  • High integrity and ownership, including protection of sensitive data and accountability for final decisions and deliverables.
  • Experience in adtech (nice to have).
  • Experience implementing data governance practices, including data quality, metadata management, and access controls (nice to have).
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data (nice to have).
  • Familiarity with data table formats like Apache Iceberg and Delta (nice to have).
  • Previous experience building out a Data Engineering function (nice to have).
  • Proven experience working closely with Data Science teams on machine learning pipelines (nice to have).

Benefits

  • Base salary range of $155,584 to $320,320 USD for US-based applicants.
  • Eligible for equity.
  • Flexible working model through PinFlex.
  • Relocation assistance is not provided for this position.
  • 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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