Staff Data Engineer

Ladders; United States; Remote; USD 157,000 - 233,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible PTO policy

Home office stipend and WeWork access

Mental and physical wellness programs

Job summary

Ladders is seeking a Staff Data Engineer to join a leader in the Information Technology space. This role will shape the architecture and standards for a modern data platform that supports analytics, operational reporting, and AI-enabled use cases.

The ideal candidate will partner closely with engineering, BI, actuarial, and business stakeholders to build reliable, governed data products that scale across the organization.

Qualifications

• 9-12 years in building and operating complex production data platforms.
• Expertise in Snowflake and dbt, including performance optimization and deployment practices.
• Strong programming and data modeling skills in Python and SQL.
• Experience with modern orchestration and ingestion technologies like Airflow, Kafka, and Snowpipe.
• Proficient in establishing data products and governance standards across teams.
• Experience creating infrastructure for feature engineering and AI data systems.
• Production experience with Looker and governed semantic models.

Responsibilities

• Set architecture and engineering standards for Snowflake, dbt, and data platform infrastructure
• Design governed pipelines and data models for reliable insurance and security data
• Build reusable data products tailored for BI, actuarial, and AI/ML consumers
• Establish practices for data observability, quality, and security
• Develop foundational platforms for AI-driven feature engineering applications
• Collaborate with cross-functional teams to align architecture with business goals

Skills

Data platform architecture

Data modeling

Python

SQL

Data governance

Team collaboration

Production data ops

Tools

Snowflake

dbt

Airflow

Kafka

Snowpipe

Looker

Semantic models

Job description

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

This role will shape the architecture and standards for a modern data platform that supports analytics, operational reporting, and AI-enabled use cases. The ideal candidate will partner closely with engineering, BI, actuarial, and business stakeholders to build reliable, governed data products that scale across the organization. This position requires deep technical leadership in platform engineering, data modeling, and production data operations.

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

Compensation: $157,000 – $232,650 annually

Responsibilities

• Set architecture and engineering standards for Snowflake, dbt, and data platform infrastructure
• Design governed pipelines and data models for reliable insurance and security data
• Build reusable data products tailored for BI, actuarial, and AI/ML consumers
• Establish practices for data observability, quality, and security
• Develop foundational platforms for AI-driven feature engineering applications
• Collaborate with cross-functional teams to align architecture with business goals

Qualifications

• 9-12 years in building and operating complex production data platforms
• Deep expertise in Snowflake and dbt, including performance optimization and deployment practices
• Strong programming and data modeling skills in Python and analytical SQL
• Experience with modern orchestration and ingestion technologies like Airflow, Kafka, and Snowpipe
• Proficient in establishing data products and governance standards across teams
• Experience creating infrastructure for feature engineering and AI data systems
• Production experience with Looker and governed semantic models

Benefits

• 100% medical, dental, and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental and physical wellness programs including One Medical and Headspace
• Opportunities for competitive compensation and advancement

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.