Data Engineer - Senior - USA

Ladders; United States; Teletrabalho; USD 125 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

AI-first digital transformation

Dynamic team

Exposure to Fortune 500 clients

Cutting-edge AI/ML & cloud tech

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Data engineering

SQL

Python

Communication

Product/Program management

Ferramentas

Snowflake

Descrição da oferta de emprego

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

This role will focus on designing and delivering modern data solutions that support analytics, reporting, and large-scale data movement in a cloud environment. You will partner closely with project stakeholders to help migrate legacy workflows to a modern data platform while ensuring reliability, data quality, and readiness for production cutover. The position also blends hands‑on engineering with project coordination, requiring strong collaboration across technical and delivery teams.

Location: Remote

Compensation: $125,000 – $150,000 annually

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

Qualifications

• 8+ years of experience in data engineering
• 5+ years of advanced SQL experience, including complex queries
• 5+ years of professional Python development for data processing and automation
• Expertise in mortgage whole loans and RMBS preferred
• Strong background in quantitative finance, including cashflow models and predictive analytics
• Excellent communication and change management skills
• Proven experience in product/program management throughout the project lifecycle

Benefits

• Join a leading AI-first digital transformation company
• Work with a dynamic and talented team
• Gain exposure to Fortune 500 companies and market disruptors
• Engage with cutting-edge technologies in AI, machine learning, and cloud computing

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.