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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Tessera Labs - **Location:** San Francisco Bay Area, CA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Relational Databases, Software Debugging, Identity and Access Management, Python (Programming Language), Query Optimization, SQL Databases, Systems Integration, Workflow Management Systems, Data Processing, Data Storage Management, Backend - **Published:** September 10, 2026 - **Apply:** https://startup.jobs/data-platform-engineer-tessera-labs-10028093 ## About the Role * Strong Python and SQL, with experience building maintainable, tested production software. * Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines. * A solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere. * Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging. * The ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs., * Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure. * Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant. * Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code. ## Description We're looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI., * At least 2+ years of experience as a Data Platform Engineer * Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization. * Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations. * Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management. * Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness. * Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build., * Work at the intersection of AI, ERP systems, and automation * High ownership, high impact, and direct influence on product direction * Collaborate with a deeply technical and customer-focused team No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)