Senior Data Engineer (GCP)

TL;DR

Senior Data Engineer (GCP): Designing, building, and supporting scalable data platforms within a cloud-first environment with an accent on developing modern streaming and batch data pipelines. Focus on enabling advanced analytics, implementing lakehouse architectures, and managing large-scale datasets using distributed processing technologies.

Location: Must be based in Phoenix, AZ (On-site)

Company

hirify.global provides workforce management and staffing services across various industries.

What you will do

• Design and maintain scalable data pipelines using Spark, Kafka, and cloud-native services.
• Build real-time data streaming solutions leveraging Kafka, Flink, and Spark Streaming.
• Implement and optimize data lakehouse architectures to support enterprise-level analytics.
• Develop robust data workflows using Python, PySpark, SQL, and Airflow/Cloud Composer.
• Ensure data governance, security, and best practices across the data ecosystem.
• Collaborate with cross-functional teams to deliver high-quality data solutions in an Agile environment.

Requirements

• Must be authorized to work in the US (W2 only, no C2C).
• 5+ years of data engineering experience with Hadoop and Google Cloud.
• 3+ years of experience designing and implementing data lakehouse architectures.
• 2+ years of experience with Kafka, Flink, and Spark Streaming.
• Strong proficiency in Python, PySpark, and SQL.
• Hands-on experience with GCP (BigQuery, Dataproc, Cloud Storage).

Nice to have

• GCP Professional Data Engineer or other relevant cloud certifications.
• Experience supporting both batch and real-time analytics workloads.
• Familiarity with distributed systems design patterns.

Culture & Benefits

• Visa sponsorship available for qualified candidates.
• Long-term project engagement (12+ months).
• Collaborative, engineering-focused team environment.