Note: The job is a remote job and is open to candidates in USA. SMASH is a company that focuses on building long-lasting relationships with talent and matching them with US clients. They are seeking a Staff Data Engineer to design and deliver scalable, GCP-native data solutions that support machine learning and analytics initiatives, focusing on building high-quality data products and infrastructure.
Responsibilities
- Design and implement a scalable, GCP-native data strategy aligned with machine learning and analytics initiatives
- Build, operate, and evolve reusable data products that deliver compounding business value
- Architect and govern squad-owned data storage strategies using BigQuery, AlloyDB, ODS, and transactional systems
- Develop high-performance data transformations and analytical workflows using Python and SQL
- Lead ingestion and streaming strategies using Pub/Sub, Datastream (CDC), and Cloud Dataflow (Apache Beam)
- Orchestrate data workflows using Cloud Composer (Airflow) and manage transformations with Dataform
- Modernize legacy data assets and decouple procedural logic from operational databases into analytical platforms
- Apply Dataplex capabilities to enforce data governance, quality, lineage, and discoverability
- Collaborate closely with engineering, product, and data science teams in an iterative, squad-based environment
- Drive technical decision-making, resolve ambiguity, and influence data architecture direction
- Ensure data solutions are secure, scalable, observable, and aligned with best practices
Skills
- 8+ years of professional experience in data engineering or a related discipline
- Expert-level proficiency in Python and SQL for scalable data transformation and analysis
- Deep expertise with Google Cloud Platform data services, especially BigQuery
- Hands-on experience with AlloyDB (PostgreSQL) and Cloud SQL (PostgreSQL)
- Strong understanding of domain-driven data design and data product thinking
- Proven experience architecting ingestion pipelines using Pub/Sub and Datastream (CDC)
- Expertise with Dataform, Cloud Composer (Airflow), and Cloud Dataflow (Apache Beam)
- Experience modernizing legacy data systems and optimizing complex SQL/procedural logic
- Ability to work independently and lead initiatives with minimal guidance
- Strong critical thinking, problem-solving, and decision-making skills
- Experience applying Dataplex for data governance and quality management
- Exposure to proprietary SQL dialects (T-SQL, PL/pgSQL)
- Experience supporting machine learning or advanced analytics workloads
- Background working in decentralized, squad-based or product-oriented data teams
- Experience influencing technical direction across multiple teams or domains
Company Overview