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# Senior Data Platform Engineer

- **Company:** C B Partnership
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, BigQuery, Cloud Storage, Computer Programming, Data as a Services, Directed Acyclic Graph (Directed Graphs), Data Validation, Information Engineering, Data Infrastructure, Python (Programming Language), Operational Databases, Standard Sql, Cloudera, SQL Databases, Scripting, Google Cloud, Apache Spark, Fastapi, Pyspark, Api Design, Restful APIs, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-platform-engineer-phoenix-az--0a58ca61-5bb3-4f5c-bd44-9f082834286a

## About the Role

SQL (Structured Query Language), REST (Representational State Transfer), Application Programming Interface (API), Python Programming/Scripting Language, Data Quality, Service Level Agreement (SLA), Performance Analysis, Engineering, Computer Programming, Apache Spark, * 6+ years of data engineering experience

 * Strong Python programming skills
 * Production experience with Apache Spark PySpark
 * Experience with Airflow DAG development
 * Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
 * Experience building APIs using FastAPI
 * Strong SQL and data modeling knowledge
 * Experience implementing data quality checks (schema validation, row count checks, anomaly detection)

## Description

Replies within 24 hours, We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform., * Design and maintain Airflow DAGs for production data workflows

 * Develop and optimize Spark / PySpark jobs on Dataproc
 * Build and optimize complex SQL transformations
 * Develop REST APIs using FastAPI Python to support data services
 * Implement robust data quality and validation frameworks
 * Monitor pipeline performance, retries, and SLA compliance