Data Engineer

Suntec Concrete; Phoenix (AZ); Presencial; USD 95.000 - 130.000; Jornada completa

Descripción de la vacante

Suntec Concrete seeks a data engineer to build and ship reporting on the Gold layer, from query to business interface, and to own data quality across pipelines.

You will design internal web apps on Azure Static Web Apps, Container Apps, and Functions with Entra ID, managing hosting, releases, and in-app roles for the tools you build.

Responsabilidades

• Build and ship reporting against the Gold layer, from query to business interface.
• Vet financial, schedule, and safety figures behind every release.
• Design and build internal web apps on Azure Static Web Apps, Container Apps, and Functions with Entra ID.
• Develop and maintain MCP servers and data, moving to a lake-first model.
• Write evals for AI features and maintain them as features change.
• Ingest data from Sage 300 CRE, UKG, Smartsheet, Samsara, ToolWatch, and Command Alkon via Data Factory.
• Create Silver and Gold tables and document models so one number means one thing.
• Own the data quality framework: validation, deduplication, business rules, reconciliation.
• Ship through Fabric pipelines and GitHub with tests gating merges.
• Manage secrets with Azure Key Vault and masked/full fidelity PII paths.

Conocimientos

Azure

SQL

Data modeling

ETL

Python

CI/CD

Herramientas

Azure Data Factory

Fabric notebooks

GitHub

Azure Key Vault

Descripción del empleo

Build and ship reporting against the Gold layer, from the query through to the interface the business opens, and work the report request queue

Vet the financial, schedule, and safety figures behind what you ship. Leadership acts on these numbers, and nothing goes out on an untested calculation.

Design and build internal web applications on Azure Static Web Apps, Container Apps, and Functions with Entra ID authentication, front end through back end, and own hosting configuration, deployment, releases, and in-app user roles for what you build

Develop & maintain MCP servers, data they expose, and lead the shift from per source access to a lake first model where every application, report, and agent reads from Gold

Write evals for every AI feature that ships, and keep them running as the feature changes

Build ingestion from our systems of record, including Sage 300 CRE, UKG, Smartsheet, Samsara, ToolWatch, and Command Alkon, using Azure Data Factory pipelines and Fabric notebooks

Build Silver and Gold tables inside the medallion design set by our Data Architect, and keep the models, measures, and definitions documented so one number means one thing company wide

Own the data quality framework: schema validation, deduplication on business keys, business rules, reconciliation against source totals, with failures quarantined & alerted

Ship through Fabric deployment pipelines and GitHub, Dev to Test to Prod, with unit tests gating merges and data validation assertions gating each promotion

Handle secrets through Azure Key Vault and managed identity, and work within the separate masked and full fidelity PII paths the platform defines