or apply directly on Incident IQ's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Incident IQ's roles stay open a median of 16 days
- Reposted
- No
- Salary listed
- No 0% of Incident IQ's roles list one
- Ghost-job risk at Incident IQ
- high 3 stale, 0 reposted of 8 open
- Hiring momentum
- 15 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Incident IQ's own greenhouse board since 2026-08-03. Full hiring picture for Incident IQ.
About this role
As a Senior Data Engineer at Incident IQ, you will lead the design and architecture of a new BI data warehouse, aggregating complex data streams from various sources into a centralized data lake. This role involves building and maintaining ETL/ELT pipelines, ensuring data quality and governance, and collaborating with cross-functional teams to drive data strategy. You will have the opportunity to create scalable solutions from the ground up in a greenfield environment, significantly impacting the company's analytics capabilities.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Incident IQ as an employer.
What you need
- 5-7 years of professional experience in Data Engineering, BI Engineering, Analytics Engineering, or Data Architecture in a high-growth SaaS environment
- Experience owning a greenfield data infrastructure initiative end to end
- Deep expertise in modern cloud data warehousing solutions (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift)
- Proven experience building complex ETL/ELT pipelines using tools like dbt, Apache Airflow, or Azure Data Factory
- Advanced proficiency in complex SQL and query tuning across relational sources
- Hands-on experience extracting and integrating data from enterprise GTM tools such as Salesforce or similar platforms
Nice to have
- Experience integrating a non-relational source such as MongoDB into a relational warehouse
What you get
- Competitive salary based on experience
- Medical, dental, vision, and life insurance
- 401k match
- Paid-time off (PTO)
- Excellent work/life balance
- Energetic and collaborative work environment
Worth weighing
- No specific salary listed
- Role is not focused on dashboard development; requires heavy data engineering and architecture work
- Not a maintenance role; building a new data ecosystem from scratch
- Expectations to advise leadership on data strategy rather than just executing assigned tasks
Summarised from Incident IQ's posting. Read the full original.
Listed by Incident IQ on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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