A data engineering firm based in Phoenix, AZ, is seeking a Senior Data Platform Engineer. This role involves designing and maintaining Airflow DAGs for data workflows, optimizing Spark jobs, and developing APIs using FastAPI. The ideal candidate should have over 6 years of experience in data engineering, proficient Python skills, and familiarity with GCP. An excellent opportunity for professionals looking to enhance data quality and operational efficiencies in a collaborative environment.
Qualifications
6+ years of data engineering experience.
Strong Python programming skills.
Production experience with Apache Spark and PySpark.
Hands-on experience with GCP preferred.
Responsibilities
Design and maintain Airflow DAGs for production data workflows.
Develop and optimize Spark / PySpark jobs on Dataproc.
Monitor pipeline performance, retries, and SLA compliance.
Skills
Python programming
Apache Spark / PySpark
Airflow DAG development
SQL transformation
Data modeling
API development using FastAPI
Tools
GCP (Dataproc, BigQuery, Cloud Storage)
Job description
Overview
Senior Data Platform Engineer — Onsite Phoenix, AZ
Responsibilities
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
Qualifications
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)