Note: The job is a remote job and is open to candidates in USA. Incident IQ is a workflow management platform built exclusively for K-12 districts. The company is seeking a Senior Data Engineer to design, build, and own a new BI data warehouse and data lake, integrating data from its SaaS platform and third-party systems. The role also oversees data pipelines, platform evaluation, governance, quality, reliability, and analytics infrastructure.
Responsibilities
- Data Warehouse Architecture: Design, implement, and scale a modern BI data warehouse/data lake from the ground up. Foundation first — a rudimentary, queryable environment stood up early and built out over time, rather than a spreadsheet-first interim. You will design at a grain that serves internal analytics today and groundwork for future customer-facing analytics
- Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and aggregate data from diverse sources, beginning with our Azure-hosted product platform and extending to operational systems (e.g., CRM) and other external APIs as product usage pipelines stabilize
- Platform Evaluation and Recommendation: Own the written platform recommendation scored on refresh latency, aggregation performance at full volume, schema evolution, tenant isolation, three-year total cost of ownership, and migration cost. You make the case; selection and purchase are joint decisions with R&D and Finance
- Data Quality & Governance: Establish and enforce data governance, quality checks, and performance optimization practices to ensure high data integrity and rapid query response times. You will own source-system semantics and technical implementation
- Reliability and Continuity: Own freshness, completeness, and reconciliation against a published refresh SLA. Document to the standard that others can run the full cycle unaided
Skills
- Minimum of 5-7 years of professional experience in Data Engineering, BI Engineering, Analytics Engineering, or Data Architecture, specifically within a high-growth SaaS environment
- You have owned a greenfield data infrastructure initiative end to end rather than contributed to one
- Deep expertise in modern cloud data warehousing solutions (e.g., Snowflake, Databricks, Azure Synapse, or AWS Redshift) and data lake architectures
- Proven experience building complex ETL/ELT pipelines using tools like dbt, Apache Airflow, Azure Data Factory, or similar orchestration frameworks
- Advanced proficiency in complex SQL and query tuning across relational sources (Azure SQL, SQL Server, PostgreSQL)
- Hands-on experience extracting and integrating data from enterprise GTM tools such as Salesforce, Gainsight, Marketo, or similar platforms
- Proficiency in languages such as Python, Scala, or C# for data manipulation and automation
- Strategic Builder: You don't just write scripts; you think holistically about how data architecture drives business outcomes and product differentiation
- Pragmatic and Cost-Conscious: You are comfortable standing up something rudimentary that works and improving it, rather than waiting on the ideal platform. You weigh cost against capability and can defend the tradeoff to a non-technical audience
- Cross-Functional Communicator: You can translate complex technical data models into plain business language for stakeholders, and vice versa
- Autonomous Ownership: You thrive in environments where you can take a high-level goal, determine the technical path, and execute with minimal hand-holding
- Inquisitive Problem Solver: You are naturally curious about how the business operates and how data can be used to uncover hidden efficiencies
- Collaborative Team Player: Focused on the success of the platform and the company over personal credit
- Experience integrating a non-relational source such as MongoDB into a relational warehouse is a plus rather than a requirement
Benefits
- Whole-person growth opportunities for personal and professional development
- Energetic and collaborative work environment where everyone’s opinion matters
- Work/life balance
- Access to two office locations: Downtown Atlanta and Halcyon in Alpharetta
- For full-time employees: medical insurance
- For full-time employees: dental insurance
- For full-time employees: vision insurance
- For full-time employees: life insurance
- For full-time employees: 401(k) match
- For full-time employees: paid time off (PTO)
Company Overview
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