Data Engineer

Coretek is looking for a Data Engineer to build and operate the pipelines and data models that the rest of the business runs on. You'll own ingestion from source systems through to curated, well-documented datasets that analysts, data scientists, and application teams depend on. This is a hands-on engineering role: you'll write production code, design schemas, and be accountable for the reliability and cost of what you ship.

Responsibilities

• Design, build, and maintain batch and streaming data pipelines that are idempotent, observable, and recoverable.
• Model data for analytics (dimensional models, semantic layers, and curated marts), balancing query performance against maintainability.
• Integrate data from operational databases, SaaS APIs, files, and event streams, including handling schema drift and late-arriving data.
• Build data quality checks (freshness, volume, uniqueness, referential integrity) into pipelines rather than bolting them on afterward, and define how failures alert and escalate.
• Own pipelines in production: monitoring, on-call rotation for data incidents, root-cause analysis, and backfills.
• Tune performance and cost (partitioning, clustering, file sizing, warehouse and cluster sizing) and make the tradeoffs explicit.
• Apply engineering discipline to data: version control, code review, CI/CD, automated testing, and infrastructure as code.
• Implement access controls, PII h