Remote Analytics Engineer: Build Data Pipelines & Products

Ladders; United States; Remote; USD 164,000 - 230,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits and

401k with employer match

Global benefit programs for lifestyle

Family planning support

Gender-affirming care

Mental health and coaching benefits

Flexible vacation and paid volunteer时间

Job summary

Ladders is seeking an Analytics Engineer to help shape the data foundation that powers reporting, analysis, and decision-making across a fast-moving digital media environment. You will own key data products and partner with cross-functional stakeholders to improve data quality, automation, and visibility into business performance.

The ideal candidate has strong ETL, data modeling, and modern data workflow experience, plus excellent communication across technical audiences; remote US-based role

Qualifications

• Bachelor's degree in computer science or a quantitative field.
• 3+ years of experience with large-scale ETL systems.
• Strong programming skills in Python, SQL, Spark, and Scala.
• Experience with data modeling and efficient data governance.
• Familiarity with data workflows like Airflow.
• Proven ability to collaborate across functions.
• Excellent communication skills for diverse technical audiences.

Responsibilities

• Contribute to data quality, performance, and automation initiatives
• Manage a portfolio of high-quality data products
• Develop and maintain data pipelines for ingestion and processing
• Implement data quality checks and monitoring routines
• Create new data integrations across systems
• Develop internal tools for data analysis and reporting
• Collaborate with stakeholders to shape data foundations strategy

Skills

ETL systems

Python

SQL

Spark

Scala

Data modeling

Data governance

Airflow

Cross-functional collaboration

Communication

Education

Bachelor's degree in computer science or a quantitative field

Tools

Airflow

Job description

Ladders is seeking an Analytics Engineer to help shape the data foundation that powers reporting, analysis, and decision-making across a fast-moving digital media environment. You will own key data products and partner with cross-functional stakeholders to improve data quality, automation, and visibility into business performance.

The ideal candidate has strong ETL, data modeling, and modern data workflow experience, plus excellent communication across technical audiences; remote US-based role