Remote Data Engineer — Build Scalable Analytics & Pipelines

Ladders; United States; Remote; USD 111,000 - 143,000; Full time

Benefits offered by this job

Flexible, employee-led remote work

Professional development stipend

Health and parental leave plans

Bonuses and equity opportunities

Above-market total compensation for, 1

Job summary

Ladders is seeking a Data Engineer to build and maintain reliable data foundations enabling analytics, customer datasets, and scalable decision-making. You will collaborate with Data Science, AI/ML, and engineering teams to integrate diverse data sources and deliver high-quality tables at scale.

The role focuses on hands-on data engineering in a fast-moving environment, emphasizing data accuracy, platform reliability, and cross-functional teamwork. Remote work in the US is available.

Qualifications

• Requires strong SQL and Python skills with data modeling experience.
• Experience designing scalable data models and ETL pipelines.
• Familiarity with Spark-based data platforms and REST APIs.

Responsibilities

• Build and maintain reliable computed tables from various data sources.
• Integrate external datasets with internal data.
• Ensure high-quality, reliable customer-facing data sets.
• Collaborate with Data Science, AI/ML, and other Data Engineers.
• Promote the company's cultural principles as the organization scales.

Skills

SQL proficiency

Python programming

Data modeling

Education

BA/MS in Computer Science, Statistics, or a related field

Tools

Spark-based data platforms

ETL pipelines

Git/GitHub

REST API

SQL

Job description

Ladders is seeking a Data Engineer to build and maintain reliable data foundations enabling analytics, customer datasets, and scalable decision-making. You will collaborate with Data Science, AI/ML, and engineering teams to integrate diverse data sources and deliver high-quality tables at scale.

The role focuses on hands-on data engineering in a fast-moving environment, emphasizing data accuracy, platform reliability, and cross-functional teamwork. Remote work in the US is available.