oyster - Senior Data Engineer
Requirements
• 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems. • Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access. • Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar. • Hands-on experience building or supporting production systems using LLMs / generative AI. • Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems. • Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions. • Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability. • Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data. • Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions. • Experience with AWS Bedrock or other managed foundation-model platforms. • Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data. • Experience with LLM evaluation, observability, monitoring, or AI quality. • Experience with LangChain, LangGraph, or similar frameworks. • Experience with vector databases or search technologies. • Experience implementing AI security, governance, or responsible AI practices. • Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams. • Experience working across data engineering and AI/ML platform environments. • YOU'LL ALSO NEED • A reliable home internet connection (or be able to get one). • HOW WE WORK TOGETHER AT OYSTER • Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. • Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. • With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: • Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. • Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. • Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. • Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. • Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. • WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. • ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE • We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. • Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email [email protected] with the subject line: Interview Accommodations. • Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Responsibilities
• Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows. • Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management. • Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns. • Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities. • Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems. • Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost. • Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable. • Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements. • Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster.
Benefits
• Please enter the country you are located in • Please select the option that best describes your authorization to work in your country of residence. • I am a citizen/permanent resident with full work authorization • I have an existing work permit/visa that does not require employer sponsorship • I have a work permit/visa that requires employer transfer or sponsorship • I currently need employer sponsorship to work legally in my country of residence • Tell us about a shared AI platform capability or infrastructure you’ve built for other engineers or teams. What problem did it solve, and how was it used? • Please share a short summary about yourself and why you're interested in Oyster! • What attributes do you possess that set you up for success in a fully remote environment? • Google Workspace (GSuite) • None of the above • I confirm I have read OysterHR's Privacy Notice • Recruiting Privacy Policy
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