below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$133,218–$214,500.
Based on 240 similar postings.
Employer
About Coalition
Coalition is a cyber insurance and security company that combines comprehensive cyber insurance coverage with active risk management tools to help organizations prevent and respond to cyber incidents. Industry: Cyber Insurance & Risk Management
Coalition currently has
11 open roles
on FindRole.
As a Staff Data Engineer on the Data team, you will define the architecture and technical direction of the enterprise Data & Analytics platform. You will build scalable data infrastructure for cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products. Your daily responsibilities include setting engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code. You will design governed Medallion pipelines, domain-oriented data models, and reusable data products like feature stores and semantic models. You must utilize Python, analytical SQL, Airflow, Dagster, Prefect, Kafka, Kinesis, and Looker. The role focuses on solving complex problems in insurance and security data, establishing observability, lineage, and security practices to support regulated workflows, and developing foundations for embeddings, vector search, and retrieval-augmented AI applications.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
Set architecture and engineering standards for Snowflake, dbt, orchestration, and infrastructure-as-code.
Design governed Medallion pipelines and domain-oriented data models for insurance and security data.
Build reusable data products, contracts, feature stores, and semantic models for BI and AI/ML.
Establish observability, quality, lineage, security, and incident-management practices for data reliability.
Develop platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications.
Align data architecture with business outcomes by partnering with engineering, product, and underwriting teams.
What we're looking for
9–12 years of experience building and operating production data platforms with a track record of owning architecture for complex or high-scale systems.
Deep expertise in Snowflake and dbt, including performance optimization, incremental processing, warehouse cost management, testing, and deployment practices.
Strong programming and data modeling skills in Python and analytical SQL, including experience with dimensional models or Data Vault 2.0.
Experience building batch and streaming pipelines using technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.
Experience establishing data products, data contracts, domain ownership, SLAs, access controls, lineage, and quality standards across multiple teams.
Experience building feature engineering infrastructure or AI data systems, including feature stores, embeddings, vector search, or RAG pipelines.
Production experience with Looker and LookML, including governed semantic models and centralized metrics for self-service analytics.
Experience modeling insurance domains such as underwriting, claims, reinsurance, policy exposure, loss runs, or loss triangles (preferred).
Databricks
Delta Lake
Unity Catalog
Python
Java
SQL
NoSQL
AWS
IAM
Data Engineering
Data Modeling
Data Governance
Data Observability
Fivetran
HVR
Vault
Machine Learning
Data Pipelines
Data Engineering
ETL
AWS
Azure
AI/ML
Data Pipelines
Data Governance
Data Normalization
Dashboards
Metrics
Exploratory Analysis
Feature Development
IoT
Machine Learning