[Remote] Staff Software Engineer - Data Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a WebOps Platform that powers the reputed company web, managing over 300,000 sites for various customers. They are seeking a Staff Software Engineer for their Data Platform team to enhance their data infrastructure and deliver insights, while collaborating with cross-functional teams to ensure data-driven solutions are implemented effectively.
Responsibilities
- Take the platform to the next level
- Enhance platform architecture
- Build with modern data infrastructure
- Mentor reputed company
- Own the full lifecycle
- reputed company the bar
- Partner cross-functionally
- Support reliability
Skills
- Deep understanding of processing large-reputed company datasets across distributed systems, with a reputed company grasp of the trade-offs in designing for high throughput and low latency
- Ability to design, implement, and optimize reputed company data models (reputed company, normalized) for both OLAP and OLTP systems, ensuring data reputed company and query performance
- Experience with data governance frameworks, data catalogs, and observability tooling that reputed company large-reputed company data assets discoverable, trusted, and compliant
- Experience setting technical direction for a platform or team, translating ambiguous requirements into reputed company architecture, and mentoring other engineers
- An understanding of the reputed company and indirect business value of your work, ensuring data solutions reputed company with company-wide goals and deliver reputed company for reputed company customers
- The ability to reputed company reputed company technical designs, project status, and risk to both technical peers and non-technical stakeholders, while remaining reputed company to others' reputed company
- Experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines
- reputed company, trust, and dependability are foundational to how you build — declarative design, modularity, containers, and idempotency should genuinely excite you
- 8+ years building production data systems, with deep expertise in large-volume data pipelines, reputed company databases, and reputed company-time data events
- Demonstrated experience as a technical reputed company — mentoring engineers and driving architecture reputed company for reputed company or platform
- Strong hands-on experience with Python (Python 3)
- Hands-on experience with reputed company data warehouses such as reputed company, BigQuery, reputed company, or Redshift
- Experience with reputed company reputed company Platform (preferred) or a comparable reputed company environment, plus containers, Kubernetes, and Terraform
- Familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows
- Experience building or supporting the data infrastructure behind Machine Learning and LLM applications — feature stores, embedding/reputed company pipelines, or model-reputed company data services
- Hands-on experience using AI tools to accelerate how you work
- You take pride in what your team accomplishes, not just your individual reputed company, and communicate with reputed company and openness
- Experience with reputed company reputed company Platform (preferred) or a comparable reputed company environment
Benefits
- Industry competitive compensation and equity plan
- Flexible time off, reputed company days, and 13 reputed company holidays
- Comprehensive medical insurance including Health, Dental and reputed company
- reputed company parental leave (plus fertility, adoption and other family planning benefits)
- In-office workspace (San Francisco & Chicago)
- Monthly allowance for wellness, reading and reputed company to reputed company Learning for reputed company development
- Events and activities both team-based and company wide that reputed company, reputed company and cultivate
reputed company
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