Sr. Data Engineer
我们正在寻找一名高级数据工程师，设计和实施 AI 功能从端到端，从 GenAI 的数据管道和代理工作流程到生产部署。在这个角色中，你将在多语言客户企业环境中构建和优化可扩展，安全的数据管线，使用现代框架开发生成人工智能，代理，ML 和 BI 系统，并在 AWS,Azure 和 GCP 实现 MLOps/LLMOps 实践。你将自主拥有技术工作流程，辅导初级工程师，并对模型行为，评估，可靠性和保护围来做出明确判断：责任：·帮助设计和实施 AI 功能，从数据管道到 GenAI/代理工作流程到生产部署。•对模型行为，评估，可靠性和防护架构进行合理判断。· 在多语言客户端企业环境中建立和优化 Python 和 SQL 中的可扩展，安全的数据管线和 ETL/ELT 工作流程。·开发使用 RAG,嵌入式，矢量数据库和现代框架 （Spark,Chain,Databricks,Airflow 等）的生成人工智能，机械，ML 和 BI 系统。·实现 MLOps/LLpsMO CI/CD 用于数据工作流程，自动代理评价以及基础设施作为 AWS,Azure 和 GCCP 内的代码实践。· 执行数据安全和治理，包括 PII/PHI 处理，身份验证和基于角色的访问控制。· 自主拥有技术工作流，辅导初级工程师，并在整个团队中倡导软件工程最佳实践。·需要获得活跃秘密或最高机密许可。· 5年以上在数据工程职位上相关专业经验，包括领导技术工作流量，指导年轻工程师以及推动团队内采用软件工程最好的实践。• 在 Python 和 SQL 中专家水平熟练，具有客户企业系统要求的多语言环境 (Scala, Java) 工作的能力。· 强大的经验构建 Agentic AI,生成 AI,机器学习和商业智能系统包括快速设计，检索增强生成 (RAG),嵌入式，向量数据库，文本结构和采用现代框架的生产工作流程中的输出处理 （Spark,LangChain,Databricks,Dask,Airflow,Dagster,Kedro 等）. ·能够领导 AI 功能实施端到端，在模型行为，评估，可靠性，护卫以及其他方面进行健全判断。
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We're looking for a Senior Data Engineer to design and implement AI features end to end — from data pipelines through GenAI and agentic workflows to production deployment. In this role, you'll build and optimize scalable, secure data pipelines across polyglot client enterprise environments, develop Generative AI, agentic, ML, and BI systems using modern frameworks, and implement MLOps/LLMOps practices across AWS, Azure, and GCP. You'll own technical workstreams autonomously, mentor junior engineers, and bring sound judgment on model behavior, evaluation, reliability, and guardrails to everything you build.
Responsibilities:
- Help design and implement AI features end to end — from data pipelines through GenAI/agentic workflows to production deployment — applying sound judgment on model behavior, evaluation, reliability, and guardrails.
- Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL across polyglot client enterprise environments.
- Develop Generative AI, agentic, ML, and BI systems using RAG, embeddings, vector databases, and modern frameworks (Spark, LangChain, Databricks, Airflow, and similar).
- Implement MLOps/LLMOps practices — CI/CD for data workflows, automated agent evaluation, and infrastructure as code across AWS, Azure, and GCP.
- Enforce data security and governance, including PII/PHI handling, authentication, and role-based access control.
- Own technical workstreams autonomously, mentor junior engineers, and champion software engineering best practices across the team.
- Active Secret or Top Secret clearance required.
- 5+ years of relevant professional experience in a data engineering role, including leading technical workstreams, mentoring junior engineers, and driving adoption of software engineering best practices within a team.
- Expert-level proficiency in Python and SQL, with the ability to work in polyglot environments (Scala, Java) as required by client enterprise systems.
- Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems — including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.).
- Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost.
- Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC).
- Deep knowledge of MLOps/LLMOps, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP).
- Exceptional time management and the ability to own technical workstreams autonomously.
We Value:
- Drive: Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity
- Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer
- Customer Focus: Consultative approach to solving problems for customers. Expectations management.
- Communication: Superior communication skills. Ability to clearly articulate problems, solutions, risks, rewards etc. (written and verbal)
- Technical Skills: Love for technology. You have to be inherently passionate about technology.
- Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions
All your information will be kept confidential according to EEO guidelines.
Oteemo is an industry-leading technology consulting firm at the forefront of cloud native, enterprise DevSecOps, and AI-driven transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting-edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core. We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.
Originally posted on Himalayas