Note: The job is a remote job and is open to candidates in USA. Big Wave Digital is recruiting for a foundational data engineering role at a fast-growing technology company. The Senior or Staff Data Engineer will build modern cloud data infrastructure, scalable pipelines, AI-powered data capabilities, and customer-facing data products while owning architecture, reliability, and production operations.
Responsibilities
- Designing and evolving modern cloud data infrastructure
- Building scalable, reliable pipelines and event-driven systems
- Working with technologies including AWS, Snowflake, Databricks and dbt
- Developing AI-enabled and agentic data capabilities
- Building semantic layers and self-service analytics experiences
- Creating customer-facing and embedded data products
- Tackling streaming, governance, metadata and knowledge-management challenges
- Evaluating emerging technologies as the AI and data landscape evolves
- Owning reliability, observability and production performance
- Participating in on-call and taking responsibility for what you build
- Influencing architecture, engineering standards and the future direction of the data function
Skills
- Job Location: 1. United States
- You'll likely have 5+ years of professional engineering experience , but years alone won't determine whether you're right
- • Genuine zero-to-one data infrastructure or platform experience
- • Strong distributed systems or platform engineering fundamentals
- • Experience building rather than simply inheriting data systems
- • Production ownership, monitoring, incident response and on-call experience
- • AWS or equivalent cloud infrastructure experience
- • Snowflake, Databricks, Spark, Airflow, dbt or similar technologies
- • Streaming or event-driven architecture
- • AI/LLM experience within modern data platforms
- • Semantic layers, AI data assistants or natural-language analytics
- • Self-service analytics platforms
- • Customer-facing or embedded analytics
- • Data products tied to revenue, product adoption or customer experience
- • Measurable commercial or technical impact
- • Staff-level architecture and technical leadership
- • Experience mentoring engineers or helping grow a data engineering function
- • Startup or scale-up experience where ambiguity comes with the territory
- A background spanning software engineering, data engineering, machine learning or quantitative disciplines could be particularly interesting
- You should be comfortable independently identifying an important problem, designing the architecture, defending your technical decisions, building the solution and then owning it in production
- You must already have unrestricted US work authorisation. Visa sponsorship or visa transfer is not available
- US work authorisation required — no sponsorship available
Benefits
- Equity
- Fully Remote — USA
Company Overview