Senior Data Engineer – Greenfield BI Data Warehouse

Incident IQ, LLC; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance

401k match

PTO

Job summary

Incident IQ, LLC is actively seeking a Senior Data Engineer to lead the design and population of a new BI data warehouse. You will consolidate data from the core SaaS platform and external systems, owning the analytics foundation end-to-end in a greenfield environment.

This role drives data strategy, governance, and scalable pipeline architecture to empower education-focused insights. The ideal candidate has 5–7 years in data engineering or related fields, deep cloud warehousing expertise, and

Qualifications

• 5-7 years of professional experience in Data Engineering or related field.
• Built greenfield data infrastructure end-to-end.
• Deep expertise in modern cloud data warehousing (Snowflake, Databricks, Azure Synapse, or AWS Redshift).
• Experience building ETL/ELT pipelines with dbt, Airflow, or ADF.
• Advanced SQL and query tuning across Azure SQL/SQL Server/PostgreSQL.
• Hands-on experience integrating data from SaaS tools (Salesforce, Gainsight, Marketo).
• Programming in Python, Scala, or C# for data manipulation.

Responsibilities

• Data Warehouse Architecture: design and scale a modern BI warehouse/data lake from the ground up.
• Data Pipeline Engineering: build and maintain automated ETL/ELT pipelines across sources.
• Platform Evaluation: own platform recommendations with cost and performance considerations.
• Data Quality & Governance: enforce data governance and performance optimization.
• Reliability: own data freshness, completeness, and adherence to refresh SLAs.

Skills

5-7 yrs exp

Data warehousing

ETL pipelines

SQL mastery

SaaS integrations

Python/Scala/C#

Tools

dbt

Apache Airflow

Azure Data Factory

Job description

Incident IQ, LLC is actively seeking a Senior Data Engineer to lead the design and population of a new BI data warehouse. You will consolidate data from the core SaaS platform and external systems, owning the analytics foundation end-to-end in a greenfield environment.

This role drives data strategy, governance, and scalable pipeline architecture to empower education-focused insights. The ideal candidate has 5–7 years in data engineering or related fields, deep cloud warehousing expertise, and