Remote Senior Data Engineer - Cloud Data Pipelines

Ladders

United States

Remote

USD 125,000 - 150,000

Full time

21 hours ago
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Benefits offered by this job

AI-first digital transformation
Dynamic team
Exposure to Fortune 500 clients
Cutting-edge AI/ML & cloud tech

Job summary

Ladders is seeking a Senior Data Engineer in the USA to design and deliver modern data solutions that support analytics, reporting, and large-scale data movement in a cloud environment. You will partner with stakeholders to migrate legacy workflows to a modern data platform while ensuring reliability and data quality for production cutover.

This role blends hands-on engineering with project coordination across technical and delivery teams.

Qualifications

  • 8+ years of data engineering experience.
  • 5+ years advanced SQL experience with complex queries.
  • 5+ years professional Python development for data processing.
  • Mortgage whole loans and RMBS knowledge preferred.
  • Strong quantitative finance background with cashflow models.
  • Excellent communication and change management skills.
  • Proven product/program management throughout the project lifecycle.

Responsibilities

  • Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake.
  • Develop and manage scalable ETL/ELT workflows for data ingestion and transformation.
  • Support analytics and reporting use cases with data validation and integrity checks.
  • Facilitate migration from legacy systems to a modern data platform.
  • Contribute to project management activities, including breaking down work into epics and user stories.
  • Assist with project planning, timelines, and team coordination.
  • Support testing, cutover planning, and go-live readiness.

Skills

Data engineering
SQL
Python
Communication
Product/Program management

Tools

Snowflake

Job description

Ladders is seeking a Senior Data Engineer in the USA to design and deliver modern data solutions that support analytics, reporting, and large-scale data movement in a cloud environment. You will partner with stakeholders to migrate legacy workflows to a modern data platform while ensuring reliability and data quality for production cutover.

This role blends hands-on engineering with project coordination across technical and delivery teams.

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