Staff Data Engineer

coalition; USA; Remote; USD 157.000 - 233.000; Vollzeit

Benefits dieser Stelle

Remote-first

Salary range

Health benefits

401(k) match

Flexible PTO

Parental leave

Home-office stipend

Wellness program

Zusammenfassung

Coalition seeks a senior data platform leader to set the technical direction for a data and analytics platform supporting security, insurance, BI, actuarial, and AI/ML use cases. You’ll build governed, dependable data infrastructure and reusable data products, while establishing standards for safe, scalable data work across teams.

This role blends hands-on platform architecture with cross‑team technical leadership, defining architecture, pipelines, data contracts, quality, and observability to

Qualifikationen

• Nine to twelve years building and operating production data platforms.
• Deep Snowflake and dbt experience, including performance, incremental processing, cost management, testing, and deployment.
• Strong Python, analytical SQL, and data modeling skills; experience with dimensional modeling or Data Vault 2.0 is relevant.
• Experience delivering batch and streaming pipelines with modern orchestration and ingestion tools.
• Track record establishing data products, contracts, ownership, service levels, access controls, lineage, and quality practices across teams.
• Technical leadership skills, including influencing architecture, mentoring engineers, explaining tradeoffs, and setting durable standards.

Aufgaben

• Define architecture and engineering practices across the data warehouse, transformation, orchestration, streaming, and infrastructure-as-code layers.
• Design governed data pipelines and domain-focused models that make security and insurance information reliable and discoverable.
• Create reusable data products, contracts, feature stores, and semantic models for analytics and operational consumers.
• Establish data quality, observability, lineage, access controls, and incident practices for reliable, regulated workflows.
• Build platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented applications.
• Align technical decisions with engineering, product, underwriting, actuarial, security, and business partners.

Kenntnisse

Snowflake

dbt

Python

SQL

Data modeling

Data Vault 2.0

Architecture ownership

Pipelines

Tools

Terraform

Looker LookML

Jobbeschreibung

Role overview

Set the technical direction for a data and analytics platform supporting security, insurance, business intelligence, actuarial, and AI/ML use cases. You’ll build governed, dependable data infrastructure and reusable data products, while establishing standards that help multiple teams work with complex data safely and consistently. The role combines hands‑on platform architecture with cross‑team technical leadership.

Responsibilities

• Define architecture and engineering practices across the data warehouse, transformation, orchestration, streaming, and infrastructure-as-code layers.
• Design governed data pipelines and domain-focused models that make security and insurance information reliable and discoverable.
• Create reusable data products, contracts, feature stores, and semantic models for analytics and operational consumers.
• Establish data quality, observability, lineage, access controls, and incident practices for reliable, regulated workflows.
• Build platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented applications.
• Align technical decisions with engineering, product, underwriting, actuarial, security, and business partners.

Requirements

• Nine to twelve years building and operating production data platforms, including architecture ownership for complex or high-scale systems.
• Deep Snowflake and dbt experience, including performance, incremental processing, cost management, testing, and deployment.
• Strong Python, analytical SQL, and data modeling skills; experience with dimensional modeling or Data Vault 2.0 is relevant.
• Experience delivering batch and streaming pipelines with modern orchestration and ingestion tools.
• Track record establishing data products, contracts, ownership, service levels, access controls, lineage, and quality practices across teams.
• Technical leadership skills, including influencing architecture, mentoring engineers, explaining tradeoffs, and setting durable standards.

Nice to have

• Experience with insurance data such as claims, underwriting, policies, or loss analysis.
• Familiarity with governed Looker and LookML models, AI data systems, or tools for lineage and data quality.
• Experience with regulated-data controls, Snowflake infrastructure managed through Terraform, or CI/CD workflows.
• Experience using AI-assisted coding tools to improve development, testing, or documentation.

Benefits and work setup

• Remote-first work environment.
• Listed US base salary range: $157,000–$232,650, depending in part on geographic market and qualifications.
• Medical, dental, and vision coverage; a 401(k) plan with employer match; flexible PTO; and paid parental leave are described.
• Annual home-office support, coworking access, and wellness programs are also listed.