…cloud. - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS…

…cloud. - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS…

…and enterprise data grounding. Deep expertise in LLM integration—prompt engineering, context and grounding strategies—for copilots, conversational applications, and intelligent business workflows. Proven…

…decision-making for our infrastructure components, fostering a culture of code reviews, scalable architecture design, AI-first and data-driven development, while mentoring engineers…

…and data engineering organizations to turn emerging technologies into dependable production capabilities. Building intelligent systems for manufacturing introduces unique challenges: heterogeneous data, rapidly changing…

…We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to…

…defect investigation, data validation, and production analysis—not just basic queries. Production release experience: You have made go/no-go decisions under pressure and…

…We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to…

…We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to…

…Engineering for Continuous Delivery, you'll own the vision, execution, and technical direction of the flagship product. You’ll split your time between technology…

…We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to…

…We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to…

…8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. Strong…

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping…

…engineering leadership decisions that mature the technical platform for the future, particularly in areas of data engineering, AI, and analytics. - Scale the US engineering…

…Our team includes data and business intelligence engineers who bring deep domain expertise in data analytics and publisher monetization. They own the structured data…

…Working with technologies like AWS, Apache Kafka, Spark, and modern AI/ML tools, you'll create data analysis products that power critical decision-making…

…Your decisions affect yield, production ramp, and field quality. This is not a coordination role. The engineers who do it well hold protocol depth…

…data-driven decision-making. · Drive innovation through predictive analytics and smart building technologies. --- Minimum Qualifications: • Bachelor's degree and 3+ years of Facilities Engineering…

…Lead Software Engineer-Full Stack/Java/AWS at JPMorgan Chase within the Corporate and Investment Banking Payments Technology team, you are an integral part…

…Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application…

…engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform…

…Strong analytical, data-driven approach to prioritization and decision-making. Bachelor’s degree in computer science, information systems, engineering, a related discipline, or equivalent…

…scale intelligent products that leverage automation, analytics, and agentic AI. Partnering closely with senior stakeholders across business, design, data science, and engineering, you will…

…Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations…