Big Data Infrastructure Engineer

ektello; San Francisco (CA); Remote; USD 90,000 - 103,000; Full time

Job summary

Pinterest’s Batch Processing Platform team is seeking a Big Data Infrastructure Engineer for a W2 contract (min 12 months). This remote U.S. role focuses on building and maintaining data infrastructure, data warehousing, and BI pipelines for petabyte-scale data workloads.

The ideal candidate has 2+ years in big data infrastructure or data warehouse engineering, strong Java/Scala/Python skills, excellent communication, and familiarity with Hadoop, Spark, Airflow, Presto/Trino and related tools.

Qualifications

• 2+ years in big data infrastructure or data warehouse engineering.
• Strong communication skills and data-focused mindset.
• Experience with Java/Scala/Python.
• Familiarity with AI tools.
• Experience with Hadoop/Spark/Airflow/Presto/Trino.

Responsibilities

• Build or operate data infrastructure platforms and data pipelines.
• Work with log ingestion, batch and stream processing.
• Support data warehousing and BI data flows.
• Collaborate with cross-functional teams.

Skills

Java/Scala/Python

Communication skills

AI tools

Big data infra

Tools

Hadoop

Spark

Airflow

Presto/Trino

Job description

Big Data Infrastructure Engineer

W2 contract, min 12 months

REMOTE in United States

Target W2 $65-75/hr based on location

The Batch Processing Platform team at our client is responsible for end to end big data infrastructure, data warehousing & business intelligence solutions that powers the rest of the business. The team owns both the critical data infrastructures from log ingestion, batch & stream processing, big data query & workflow systems, and also the data processing & ETL pipelines for data warehousing and business intelligence.

What you'll do:

You'll have the opportunity to build the infrastructure platforms or the data processing pipelines that powers Pinterest's critical business needs. Building or using the cutting edge big data technologies such as Hadoop/Spark/Airflow/Presto/Trino.

What we're looking for:

2+ years of industry experience in big data infrastructure or data warehouse engineering. Good communication skills Passionate about working with data at hundreds of petabytes scale. Solid experience in one of the languages in Java/Scala/Python. Understanding of how to use AI tools. Publications at conferences a plus Experience with big data infrastructure (e.g. Hadoop/Spark/Airflow/Presto/Trino), using big data technologies for data processing.