Senior Data Engineer

NuStartz is seeking an experienced Senior Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines as we migrate to Google Cloud Platform (GCP)—leveraging Dataform for orchestration and transformation.

You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Lead the migration of existing workflows to GCP’s Dataform and establish a robust data pipeline framework.
• Build efficient systems for data ingestion, transformation, and delivery across platforms.
• Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.
• Implement and monitor data governance, quality, and performance standards.
• Optimize GCP resources for performance and cost efficiency.
• Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.

Required Skills & Experience

• 6+ years of hands-on experience as a Data Engineer.
• Strong proficiency in SQL, Python, and data transformation frameworks.
• Proven experience with Google Cloud Platform (GCP) services including BigQuery, Dataform, Dataflow, Pub/Sub, and Cloud Storage.
• Deep understanding of ETL/ELT processes, data modeling, and data warehouse architectures.
• Experience with version control (Git) and CI/CD pipelines for data workflows.
• Solid understanding of data quality, observability, and reliability practices.

Preferred Qualifications

• Prior experience in data migration or modernization projects.
• Familiarity with Airflow, dbt, or similar orchestration tools
• Experience with streaming data and event-driven architectures.
• Strong analytical, problem-solving, and communication skills.

Why Join NuStartz

• Work hands-on with modern cloud data technologies on impactful projects.
• Drive the next-generation data pipeline framework from the ground up.
• Be part of a fast-moving, innovation-driven team that values ownership and collaboration.
• Opportunity to make key architectural and strategic contributions.