Data Engineer

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

For our client, we are seeking a Data Engineer to join the team of a leader in the Enterprise Technology space.

This role will focus on building and maintaining the data foundations that support reliable analytics, customer-facing datasets, and scalable decision-making across the organization.

You will work closely with Data Science, AI/ML, and other engineering partners to integrate diverse data sources and deliver high-quality computed tables at scale.

The position is well suited for a hands-on engineer who thrives in a fast-moving environment and values data accuracy, platform reliability, and cross-functional collaboration.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $110,500 – $143,000 annually

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

Qualifications

• BA/MS in Computer Science, Statistics, or a related field
• 4+ years of experience in a data engineering role
• Experience designing data models at scale
• Proficiency in building ETL pipelines for large data volumes
• Familiarity with Spark-based data platforms
• Strong SQL and Python skills, with REST API experience
• Knowledge of version control systems such as Git/GitHub

Benefits

• Flexible, employee-led remote work model
• Professional development stipend
• Comprehensive health and parental leave plans
• Performance-based bonuses and equity opportunities
• Above-market total compensation for top performers

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.