BI Developer
Apex Systems Inc
BI Developer
Location: Maryland Heights, Missouri (Onsite) Role Overview This role owns data products end-to-end, from source-system ingestion and data-lake modeling, through a governed semantic layer, to the custom applications and dashboards that deliver metrics to executives and operational teams. This is a hands-on position that also spans the platform and release engineering needed to run these products in production. Key Responsibilities- Design, build, and operate ingestion and transformation pipelines (ELT/ETL, CDC, API and file-based sources) into an analytical data lake.
- Model data and define trustworthy, reusable metrics in a semantic layer; ensure every metric traces to the source of truth.
- Develop and maintain full-stack data applications (TypeScript/React front ends; Python/FastAPI back ends) that serve metrics directly from the semantic layer.
- Deliver executive- and operator-facing dashboards and reports, including monthly/quarterly operational reviews.
- Own the platform: containerized deployment (k3s/Helm), highly-available databases (PostgreSQL HA), CI/CD pipelines, release promotion, and post-deploy validation.
- Implement data governance: cataloging, SSO/RBAC, PII protection, and comprehensive audit logging.
- Build and integrate AI/agentic tooling against a governed, access controlled datalake.
- Provision and support cross-team data access; peer-review SQL, models, and dashboards.
- Strong SQL and Python; proven ELT/ETL pipeline development.
- Data modeling and semantic-layer / metrics-layer experience.
- Full-stack development experience (modern JS/TS framework + a Python web framework).
- Relational database operations, including high-availability Postgres.
- Containerized deployment and CI/CD (Docker, Kubernetes/k3s, Helm, GitLab CI or equivalent).
- BI/dashboarding experience (Tableau or a comparable tool, plus custom-built visualization).
- Data governance fundamentals: RBAC, SSO, PII handling, cataloging.
- Semantic-layer specialization (governed metric layers).
- Experience enabling AI/ML or agentic use cases (MCP, LLM gateways, retrieval over governed data).
- Workflow orchestration (Temporal, Airflow, or similar).
- Experience as a technical lead/owner of a production platform and mentoring other engineers.
Vacancy posted 1 day ago
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