Senior Data Acquisition Engineer — Remote

People Data Labs; Oregon; Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Stock options

401k matching

Competitive salaries

Unlimited PTO

Medical/dental/vision

Job summary

People Data Labs is seeking a Senior Data Engineer to join our Data Engineering & Acquisition Team. You will help accelerate our data platform, improving ingestion pipelines and distributed processing to deliver high-quality, scalable datasets for customers and developers.

You will work with Python/Go/Rust, build robust data pipelines, and collaborate across teams to design new data products. This remote-first role offers autonomy and growth opportunities within a leading data provider.

Qualifications

• 7+ years of professional experience building or operating backend or infrastructure systems at scale.
• Solid programming experience in Python, Go, Rust, or similar, including async/await, coroutines, or concurrency frameworks.
• Strong grasp of software architecture, concurrency, scalability, and fault tolerance.
• Familiarity with network debugging, DNS, proxies, packet capture and analysis.
• Experience with distributed data ingestion, ETL, and API integration.

Responsibilities

• Contribute to architecture and improvement of data acquisition and processing platform for reliability and throughput.
• Build and operate large-scale distributed systems delivering data from across the web.
• Design backend services for distributed job orchestration and data pipelines.
• Model and curate data ensuring high quality and consistency across datasets.
• Collaborate with data product and engineering teams to create new data products.

Skills

Backend systems

Python/Go/Rust

Concurrency

Distributed systems

Web crawling

Linux/Unix

Message queues

Education

Degree in CS

Tools

Kafka

SQS

Airflow

Databricks

Spark

SQL

Job description

People Data Labs is seeking a Senior Data Engineer to join our Data Engineering & Acquisition Team. You will help accelerate our data platform, improving ingestion pipelines and distributed processing to deliver high-quality, scalable datasets for customers and developers.

You will work with Python/Go/Rust, build robust data pipelines, and collaborate across teams to design new data products. This remote-first role offers autonomy and growth opportunities within a leading data provider.