# Software Engineer II, Big Data, tvScientific

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $124k – $255k/yr
**Skills:** Spark, Scala, AWS, SQL, Data Lakes, Apache Iceberg, Delta Lake, Data Pipelines, APIs, Knowledge Graphs
**Posted:** 2026-05-28

> Design and implement scalable data infrastructure using Spark/Scala on AWS. Build data pipelines, knowledge graphs, and APIs to support a high-growth CTV advertising platform.

## Job Description

## What you'll do
- Design and implement robust data infrastructure in AWS, using Spark with Scala
- Evolve core data pipelines to efficiently scale for massive growth
- Store data in optimal engines and formats, matching designs to performance needs and cost factors
- Collaborate with 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 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

## What we're looking for
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala preferred
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in 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
- High integrity and ownership

## 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
- Previous experience building out a Data Engineering function
- Proven experience working closely with Data Science teams on machine learning pipelines

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**Canonical:** https://hotfix.jobs/jobs/1b32fd1e-77aa-4d75-b4c0-24459537a29b