Sr. Software Engineer, Big Data, tvScientific

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $123,696–$254,667 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $189k

$108k most similar roles pay here $270k

This role pays more than 63% of similar roles. Most pay $134,725–$205,000 — the shaded band above. At the midpoint, this role pays about $189k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 36 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.

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At a glance

TL;DR · Sr. Software Engineer, Big Data, tvScientific

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As a Senior Data Engineer at tvScientific, you will join a dynamic team to build and maintain the company’s robust data infrastructure on AWS. Your daily responsibilities include implementing scalable data pipelines using Spark with Scala, optimizing storage in efficient formats, and collaborating closely with cross-functional teams such as Data Science and Product to ensure business needs are met. You will also focus on building fault-tolerant batch and streaming pipelines while leveraging AWS services for optimal performance. The role requires expertise in SQL, proficiency in cloud data lakes and warehouses, and a strong understanding of privacy-by-design principles. Ideal candidates have experience in adtech and implementing data governance practices, making this an exciting opportunity to tackle large-scale data challenges in the fast-growing tech industry.

Skills

AWS Spark Scala SQL Data Lakes Cloud Warehouses CI/CD Docker Kafka Hadoop Apache Iceberg Delta Metadata Management Data Quality Privacy-by-Design

What you'll do

Implement robust data infrastructure in AWS using Spark with Scala.
Evolve core data pipelines to efficiently scale for company growth.
Store data in optimal engines and formats for efficient retrieval.
Design fault-tolerant batch and streaming pipelines for reliability.
Optimize AWS resources while ensuring scalability of data solutions.

What we're looking for

Production data engineering experience and proficiency in Spark with Scala.
Strong expertise in AWS services for scalable and efficient infrastructure.
Familiarity with data lakes, cloud warehouses, and storage formats.
Expertise in SQL for data manipulation and extraction.
Excellent written and verbal communication skills for cross-functional collaboration.
Bachelor's degree in Computer Science or a related field.

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