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Senior, specialized data-platform role with niche distributed-processing and no-code expertise reduces applicant density despite metro location.
Core data engineering skills transfer across industries, but no-code platform and supply-chain domain experience increases domain specificity.
Senior-level role requires deep data engineering, distributed-processing, and specific tooling, creating strict mandatory filters.
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Architect and develop core platform capabilities for data ingestion, transformation, validation, orchestration, and monitoring in a no-code data platform.
Build scalable backend services including APIs, background workers, and execution engines using Python, TypeScript, Go, or equivalent languages.
Implement platform observability features such as execution logs, data lineage tracking, SLA monitoring, error handling, and contribute to AI-assisted features like schema inference and anomaly detection.
Proven backend engineering experience with scalable APIs, orchestration layers or execution engines using Python, TypeScript, Go, or similar languages.
Strong data engineering fundamentals including data ingestion, transformation, validation, and metadata management.
Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis or similar).
Work Experience Required: Not explicitly mentioned in the JD
Experienced at building metadata-driven, configuration-based data pipelines and orchestration frameworks enabling no-code enterprise adoption.
Skilled at integrating and processing diverse data formats (JSON, XML, CSV, EDI) with asynchronous RESTful APIs and message queue patterns.
Capable of collaborating across product, design, and engineering teams to translate complex requirements into scalable, robust backend solutions for global enterprise data platforms.