> Markdown version of [/jobs/ext/3996119-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3996119-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** AWC, Inc - **Location:** Jacksonville, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Business Logic, Data Mapping, Data Security, SQL Databases, Cloud Platform System, Snowflake, Operational Systems, Data Pipelines - **Published:** October 28, 2026 - **Apply:** https://www.thejobnetwork.com/job/0682fb83-d5a7-4a30-a358-ed2c977dc787/senior-data-engineer ## About the Role * Experience building analytical data platforms end to end, not only maintaining someone else's. You have made the architecture and modeling decisions yourself and lived with them * Strong analytical data modeling: grain, dimensional design, slowly changing dimensions and history, late-arriving data, incremental loading, and the tradeoffs required to keep analytical models understandable and durable * Experience designing analytical models that remain stable as source systems change, including ERP migrations, source-to-target mapping, schema evolution, data contracts, or equivalent transformation work * Real depth in SQL, a modern transformation framework, and at least one cloud data platform. Snowflake experience is directly relevant, and equivalent experience elsewhere counts. Practical experience with reliable incremental loading and idempotent data pipelines matters more than tool-specific syntax * A track record of reconciling an analytical model to a financial or operational system of record, and defending it to the people who own those numbers. This is the single most relevant thing you can show us * Automated data quality testing, and the discipline to treat correctness as a release gate rather than a follow-up task * The ability to sit with a controller or a business leader, agree what a measure means, and write it down. Much of this job is definition work after it is engineering work * Comfort designing governed data access for BI, APIs, and AI consumers, including permission-aware and auditable access * Understanding of semantic-layer and BI design, with the discipline to keep shared business logic in governed models rather than recreating it independently inside dashboards Here's what will set you apart: * Strong attention to detail and precision to ensure optimal control valve performance * Exceptional problem-solving skills, enabling effective selection of corrective actions * Proficient in interpreting schematics, drawings, and procedural instructions * Clear and effective communication skills, both verbal and written * Collaborative team player with the flexibility to work in various settings * Adaptability to work both in a shop environment and at customer-owned facilities