Halliburton

Role Description We are looking for the right people — people who want to innovate, achieve, grow and lead. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. This role spans the full early-career range. We are hiring new graduates as well as engineers with up to five years of professional experience. Your experience will be reflected in your level, scope, and compensation at offer. - You join a delivery team and start writing production code immediately. - You build software with your team that oil and gas operators use every day for real decisions. - You debug issues in systems that connect to live data and write features that operators depend on. - You receive regular guidance from experienced engineers and participate in code reviews from the start. - Over time, you grow your technical skills and your understanding of the product domain. - Positions are available across a range of teams. Teams build software for domains such as: - Geoscience — geology, geophysics, or petrophysics - Drilling engineering and well planning - Reservoir engineering and modeling - Production engineering and optimization - E&P data management and integration - Cloud and platform infrastructure, data services, and developer tooling - AI-assisted analytics, search, and generative AI Technologies used vary by team and include: - Languages such as Java, C#, F#, C++, Python, and TypeScript - Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js - Cloud platforms including Azure and AWS - Containerization and orchestration tooling such as Docker and Kubernetes - Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux - Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB Qualifications - Required: Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience - 0–5 years of software development experience - Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks) - Preferred: Experience contributing to a shared codebase with other engineers - Exposure to cloud platforms (Azure, AWS), web application development, or data systems - Exposure to CI/CD or infrastructure automation tools - Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar - Energy industry experience is not required but is a strong plus Requirements - The engineer who succeeds in this role is technically curious and takes their craft seriously. - You pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. - You treat code reviews as a place to both learn and contribute. - You communicate clearly with teammates across time zones. Benefits - Competitive compensation - Strong career path - Role where your contribution makes a difference from day one Company Description Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations.

Role Description About the Role: You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. - Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it. - Break complex specifications into concrete tasks with realistic schedules and flag risks early. - Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process. - Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place. - Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise. - Review code from other engineers with the same rigor you expect on your own work. - Evaluate and integrate open-source tools and libraries where they improve the systems you work on. - Mentor junior engineers through code reviews, pairing, and direct technical guidance. - Communicate clearly across a distributed, cross-timezone team. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience. - 5–10 years of software development experience. - Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js). - Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery. - Experience debugging production software and tracing root causes that span multiple components or layers. - Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders. Requirements - Experience with cloud-native development, full-stack or web application development, or data platform technologies. - Experience with CI/CD pipelines, containerization, and infrastructure automation. - Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data). - Exposure to integrating machine learning, generative AI, or LLM-based components into application features. - Experience mentoring less experienced engineers. - Energy industry experience is not required but is a strong plus. Benefits - Competitive compensation. - Strong career path. - Ownership of what you build with visible impact. Company Description Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions.

Role Description We are looking for the right people — people who want to innovate, achieve, grow and lead. You are a technical authority who shapes what gets built and how. At Landmark, that means owning the technical direction for products that oil and gas operators use for high-stakes engineering decisions. - Work under broad direction, making architecture decisions that hold up over time. - Raise the quality and capability of the teams around you. - Collaborate closely with Product Management and architects on new application design and major enhancements. - Serve as the first technical escalation point for complex issues. - Shape the technical direction of the products and platforms you own across near-term and long-term planning horizons. - Scope major technical work: estimate effort, identify risks, and define the delivery approach. - Design and build new applications and major enhancements in partnership with Product Management and architects. - Evaluate architecture and implementation for performance, scalability, and security weaknesses, driving improvements through to resolution. - Lead design and code reviews with a focus on long-term quality. - Mentor engineers at junior and mid levels through code reviews and technical guidance. - Own security for your area: set coding standards and drive fixes to completion. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience. - 10 or more years of software development experience. - Deep proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js). - Experience designing and owning the architecture of a complex software system or major subsystem. - A track record of providing technical leadership across a team or product area. - Strong communication skills to explain technical trade-offs clearly. Requirements - Experience with cloud-native development, full-stack or web application development, or data platform technologies. - Experience with CI/CD pipelines, containerization, and infrastructure automation. - Background in technically complex or scientifically demanding application domains. - Experience integrating machine learning, generative AI, or LLM-based components into production systems. - Experience contributing to open-source projects or integrating open-source components at scale. - Energy industry experience is not required but is a strong plus. Benefits - Competitive compensation including bonus and long-term incentive programs. - Strong career path opportunities. - Autonomy to make real technical decisions. - High-ownership teams with a focus on quality.

Role Description We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. You are a senior technical authority who shapes what gets built and how. At Landmark, you own technical direction for products used by oil and gas operators in critical engineering decisions. You make architecture decisions that endure, raise engineering quality, and partner with Product Management and architects on new applications and major enhancements. You also serve as the first escalation point for complex technical issues. Strong software engineering fundamentals and the ability to independently own complex product areas are essential. Domain knowledge is a plus, but not required. Roles are available across multiple teams, and team assignment determines product domain and primary technologies. - Geoscience, drilling, reservoir, and production engineering - E&P data management, cloud platforms, developer tooling, and AI-assisted analytics Qualifications - Technologies may include: Java, C#, F#, C++, Python, TypeScript, and related frameworks such as .NET, Angular, React, and Node.js - Azure or AWS, Docker, Kubernetes, Terraform, and modern relational or NoSQL databases Requirements - Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience - 10+ years of software development experience - Strong expertise in at least one core stack such as Java, .NET, C++, Python, or TypeScript, with a record of delivering production software - Experience owning the architecture of complex systems and providing technical leadership across a team or product area - Clear communication skills for explaining technical decisions to both technical and non-technical audiences Benefits - Compensation is competitive and commensurate with experience. What You Will Do - Set technical direction for products and platforms across short- and long-term planning - Scope major technical work, estimate effort, identify risks, and define delivery approaches - Design and build major applications and enhancements with Product Management and architects - Act as the technical authority for complex decisions, architecture, and deep problem solving - Drive improvements in performance, scalability, security, engineering quality, and delivery practices - Lead reviews, mentor engineers, and promote adoption of tools and practices that improve the product Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Role Description We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems—comprising task-specific autonomous tools governed by a master agent—to support complex technical decision-making in industrial environments. This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines. - Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries. - Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation. - Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources. - Collaborate with domain experts to align agent behavior with technical expectations and constraints. - Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs. - Continuously optimize prompting, agent orchestration, and performance under real-world conditions. Qualifications - Azure AI Engineer or Azure Data Engineer certification is a plus. - AWS experience is nice to have, but not required. - Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows. - Candidates with relevant AI system-building experience in other complex industries are encouraged to apply. - Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks. - Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning. - Advanced Python programming and experience deploying AI workflows in cloud or containerized environments. - Ability to work with APIs, data models, and external toolchains across complex systems. - Comfortable operating independently with minimal supervision in a cross-functional environment. Requirements - Exposure to industrial domains such as energy, manufacturing, or heavy engineering. - Understanding of vector databases, knowledge graphs, and retrieval-augmented generation. - Familiarity with Azure or AWS development environments. Benefits - Compensation is competitive and commensurate with experience. Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Role Description We are seeking a Back-end Developer with strong programming skills and a solid foundation in scientific computing to build and optimize data-driven applications. In this role, you will design and implement robust backend systems that process and analyze complex datasets, enabling advanced analytics and real-time insights. You will collaborate with cross-functional teams to deliver scalable, high-performance solutions that support research and innovation in a dynamic environment. Key Responsibilities - Develop and maintain end-to-end applications, including back-end services in Python - Collaborate with cross-functional teams to design and deliver scalable, high-quality solutions - Optimize and refactor existing code for performance and scalability - Troubleshoot, debug, and resolve issues in applications and systems - Stay current with trends in full-stack development, data visualization, and cloud technologies - Maintain strong knowledge of modern development tools, standards, and best practices Qualifications - Bachelor's degree in computer science, engineering, or a related technical field - 4+ years of professional software development experience (preferred) - Strong proficiency in Python programming - Hands-on experience with NumPy and Pandas - Familiarity with back-end frameworks (e.g., FastAPI, Django) is a plus - Strong understanding of data structures, algorithms, and statistical analysis - Strong debugging, problem-solving, and analytical skills - Ability to work independently and collaboratively in a fast-paced environment - Strong communication skills in English (written and verbal) Requirements - Master's degree in computer science, engineering, or a related technical field - Optimization & Uncertainty Quantification: Strong knowledge on platforms for DOE, Bayesian optimization, surrogate modeling, sensitivity analysis, and robust optimization under uncertainty - Agentic AI & LLM Integration: Ability to design workflows using LLMs for experiment planning, tool orchestration, and explainable recommendations, including prompt engineering and safety guardrails - Experience in the Oil & Gas industry (nice to have) - Experience with machine learning frameworks (TensorFlow, Scikit-learn) - Knowledge of SQL/NoSQL databases and query development - Experience working in Agile/Scrum development environments - Solid understanding of data structures, algorithms, and statistical analysis - Knowledge of REST APIs and microservices architecture - Proficiency with Git and version-control best practices - Excellent analytical, debugging, and problem-solving skills - Ability to work independently and collaboratively in a fast-paced environment - Strong communication skills in English (written and verbal) Nice to Have - Reservoir Simulation Expertise: Hands-on experience with compositional simulation, including case setup, input/output parsing, and history matching integration - Cloud/HPC Computing: Familiarity with scheduling, parallel runs, resource optimization on HPC clusters or cloud platforms (Azure/AWS/GCP) Location Fully remote position. Job Details - Requisition Number: 205558 - Experience Level: Entry-Level - Job Family: Engineering/Science/Technology - Product Service Line: Landmark Software & Services - Full Time / Part Time: Full Time - Employee Group: Temporary Compensation Information Compensation is competitive and commensurate with experience.

Role Description We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. We are building a platform that merges real-time physics, structured knowledge, and autonomous intelligence. We are looking for developers ready to tackle one (or more) of those challenges: - Complexity: Rendering massive tables and managing strict validation logic for mission-critical data pipelines. - Interactivity: Building conversational UIs (streaming chat) and high-performance time-series dashboards that update in real-time. - Visualization: Designing intuitive interfaces for Data Lineage, Knowledge Graphs, and Entity Mapping. You will join a high-performance team, ensuring design consistency across the platform while focusing on one of the following distinct tracks: - Core Responsibilities - Component Architecture: Create a reusable, strictly typed Angular component library that scales across AI, Dashboard, and Admin modules. - Performance: Optimize change detection strategies and virtual scrolling to ensure the UI remains responsive and performant, whether rendering a live data stream or a 3D object. - Data-Driven Design: Handle complex JSON schemas and heavy payloads, ensuring data precision from API to UI. - Possible paths to work on the Project (you can contribute to one or more): - Data Platform & Management Tools - Build Management Interfaces: Develop the "Control Room" for Data Engineers, including Data Catalog and Pipeline Configuration screens. - Heuristics & Mapping: Create efficient workflows for "Entity Matching" that allow users to visually map raw sensor tags to physical assets. - Visualizing Lineage: Implement DAG visualizations (D3.js or similar) to allow users to trace data asset layers and dependencies. - AI Interfaces & Visualization - Build AI Assistant UI: Develop rich conversational interfaces that support streaming responses (SSE), markdown rendering, and interactive "artifacts". - Advanced Dashboarding: Implement high-performance time-series charts using Plotly.js, ensuring smooth zooming/panning on large datasets. - Document Handling: Develop integrated viewers for PDF documents and rich media, allowing Agents to cite sources visually. The Technology Stack: - Core Framework: Angular 16+ (Expert level), TypeScript, RxJS. - State Management: NgRx or Signals. - Visualization: Plotly.js (Time-series), D3.js/DAGs (Lineage). - API Integration: REST APIs (FastAPI), Server-Sent Events (SSE), WebSockets (using Socket.io). Qualifications - Complete Bachelor's degree in Computer Science, Engineering, or related. - 5+ years of experience in Frontend Development (Angular focus). - Strong proficiency in TypeScript and reactive programming patterns. - Experience building Admin Dashboards, B2B SaaS interfaces, or complex SPAs. - Ability to handle complex API integrations and data modeling on the client side. - Advanced English communication skills. Requirements - Good to Have: - Visualization: Hands-on experience with Plotly.js, D3.js, or Lineage/DAG graphs. - AI/Chat: Experience building Chat/LLM interfaces and handling streaming text. - Data Heavy: Familiarity with high-performance libraries and virtual scrolling. - Media/Geo: Experience with PDF rendering in-browser or Map/GIS libraries (Leaflet, Mapbox). Knowledge, Skills, and Abilities - Component Architect: You write clean, decoupled components and understand how to build a UI kit that scales. - UX Sensibility: You understand that a "Chat" interface needs to feel immediate and care about loading states and smooth transitions. - You take pride in building tools that make other engineers productive, caring deeply about workflow efficiency and keyboard shortcuts. Location Fully Remote position. Job Details - Requisition Number: 205557 - Experience Level: Entry-Level - Job Family: Engineering/Science/Technology - Product Service Line: Landmark Software & Services - Full Time / Part Time: Full Time - Employee Group: Temporary Compensation Information Compensation is competitive and commensurate with experience.

Role Description We are building a platform that merges real-time physics, structured knowledge, and autonomous intelligence. You will be the technical anchor for a team of Senior Engineers handling: - Backend: Ingesting massive sensor streams and running multi-agent AI systems. - Data: Organizing tons of industrial data into a Medallion Architecture. - Frontend: Building the "Control Room" and complex AI interfaces. - DevOps: Deploying across hybrid cloud (AWS/Azure) and edge (K3s) environments. Your challenge is to ensure these distinct pieces fit together, ensuring the backend model is consumable by the frontend’s "Visualizations" and that the "Data Pipelines" are reliably deployed by DevOps. What You’ll Do - Technical Orchestration: Drive cross-boundary architectural decisions. - Code & Quality Standards: Enforce high standards across the stack, review API designs (FastAPI), ensure the Frontend maintains strict Component Architecture, and verify that Data pipelines implement appropriate quality gates. - The "Expert": Guide solutions when issues arise between Cloud and On-Prem or with concurrency in a distributed stream. - Team Leadership: Conduct code reviews, mentor senior developers, and translate high-level product requirements into technical tasks (ADO) for the squad. Qualifications - Complete Bachelor's degree in Computer Science, Engineering, or related. - 10+ years of experience in Software Engineering, with at least 2+ years leading technical teams. - Deep proficiency in Python Backend Development. - Solid understanding of Frontend complexity (SPA architecture, async data loading). - Experience designing or managing Data Intensive Applications (understanding ETL, Streams, or Data Lakes). - Familiarity with DevOps/Cloud concepts (Docker, Kubernetes, CI/CD). - Advanced English communication skills. Requirements - Good to Have: - Proficiency with Streaming Technologies (Kafka, Flink, Spark) and Time-Series Databases (TimescaleDB, InfluxDB). - Practical experience building applications with LLMs, Agentic Frameworks (LangGraph), and Vector Databases. - Hands-on experience with Graph Databases (Neo4j/Cypher), SQL database design, and Hybrid Search strategies. - Experience with Digital Twins, IoT, or Industrial Data. - Experience with GenAI/LLM architecture (RAG, Agents). - Background in Heavy Industry, O&G, or IoT data (MQTT, OPC UA). - Experience with Local LLMs (Ollama) for privacy-focused deployments. - Familiarity with Data Lineage or Metadata management. Knowledge, Skills, and Abilities The Technology Stack: - Backend: Python 3.12+ (FastAPI), Kafka, Neo4j, LangGraph. - Frontend: Angular 16+, TypeScript, RxJS, Plotly.js. - Data: Apache Airflow, Delta Lake, Polars/Spark. - Infrastructure: Kubernetes (EKS/AKS/K3s), Terraform, Hybrid Cloud. Desired Profile - The Architect-Implementer: Able to draw system architecture and debug pipelines or slow queries. - The Polyglot: Likely a Backend or Full-Stack native, understanding Frontend state management and Medallion Data Architectures. - Reliability Mindset: Prioritize testing, validation, and security in critical industrial environments. Location Fully Remote position. Job Details - Requisition Number: 205555 - Experience Level: Entry-Level - Job Family: Engineering/Science/Technology - Product Service Line: Landmark Software & Services - Full Time / Part Time: Full Time - Employee Group: Temporary Compensation Information Compensation is competitive and commensurate with experience.

Role Description We are implementing a strict Medallion Architecture to organize petabytes of industrial data. This role is for a Data Engineer who excels at transforming raw chaos into structured, queryable assets. You will build and maintain the ELT pipelines that move data from "Bronze" (Raw) to "Silver" (Cleaned) and "Gold" (Aggregated). You will work with Delta Lake (On-prem/Databricks), Polars, and Airflow to ensure data quality and availability for Data Scientists and the Knowledge Graph. What You’ll Do - Pipeline Development: Develop and maintain robust Airflow DAGs to orchestrate complex data transformations. - Data Transformation: Use Spark (when scale requires) and Polars to clean, enrich, and aggregate data according to business logic. - Architecture Implementation: Enforce the Medallion Architecture patterns, ensuring clear separation of concerns between data layers. - Performance Tuning: Optimize processing workflows (Polars/Spark) jobs and SQL queries to reduce costs and execution time; make intelligent decisions on when to use Polars vs. Spark. - Deployment & Operations: Manage code deployment to on-prem and cloud infrastructure, including containerization and environment configuration. - Data Quality: Implement comprehensive data validation checks and quality gates between medallion layers. - Data Cataloging: Maintain the metadata and catalog entries to ensure all data assets are discoverable and documented. The Technology Stack - Orchestration: Apache Airflow. - Data Processing: Polars (primary for ETL), PySpark/SQL (for massive scale). - Compute: Single-node workers (Polars), Databricks/Spark clusters (when scale requires). - Storage: Delta Lake, Parquet, S3/Blob Storage, MinIO. - Language: Python 3.12+ (w/ Polars), SQL. Qualifications - Complete Bachelor's degree in Computer Science, Engineering, or related. - 3+ years of experience in Data Engineering. - Strong proficiency in Apache Airflow and Databricks. - Experience implementing Medallion/Delta Lake architectures. - Strong SQL and Python skills. - Advanced English communication skills. Requirements - Experience with Unity Catalog or other governance tools. - Familiarity with dbt (data build tool). - Background in processing telemetry or sensor data. Benefits - Compensation is competitive and commensurate with experience. Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Role Description We are building a platform that merges real-time physics, structured knowledge, and autonomous intelligence. You will be the technical anchor for a team of Senior Engineers handling: - Backend: Ingesting massive sensor streams and running multi-agent AI systems. - Data: Organizing tons of industrial data into a Medallion Architecture. - Frontend: Building the "Control Room" and complex AI interfaces. - DevOps: Deploying across hybrid cloud (AWS/Azure) and edge (K3s) environments. Your challenge is to ensure these distinct pieces fit together, ensuring the backend model is consumable by the frontend’s "Visualizations" and that the "Data Pipelines" are reliably deployed by DevOps. What You’ll Do - Technical Orchestration: Drive cross-boundary architectural decisions. - Code & Quality Standards: Enforce high standards across the stack, review API designs (FastAPI), ensure strict Component Architecture in the Frontend, and verify quality gates in Data pipelines. - The "Expert": Guide solutions for connectivity issues and concurrency challenges. - Team Leadership: Conduct code reviews, mentor senior developers, and translate high-level product requirements into technical tasks (ADO) for the squad. The Technology Stack - Backend: Python 3.12+ (FastAPI), Kafka, Neo4j, LangGraph. - Frontend: Angular 16+, TypeScript, RxJS, Plotly.js. - Data: Apache Airflow, Delta Lake, Polars/Spark. - Infrastructure: Kubernetes (EKS/AKS/K3s), Terraform, Hybrid Cloud. Qualifications - Complete Bachelor's degree in Computer Science, Engineering, or related. - 10+ years of experience in Software Engineering, with at least 2+ years leading technical teams. - Deep proficiency in Python Backend Development. - Solid understanding of Frontend complexity (SPA architecture, async data loading). - Experience designing or managing Data Intensive Applications (understanding ETL, Streams, or Data Lakes). - Familiarity with DevOps/Cloud concepts (Docker, Kubernetes, CI/CD). - Advanced English communication skills. Requirements - Good to Have: - Proficiency with Streaming Technologies (Kafka, Flink, Spark) and Time-Series Databases (TimescaleDB, InfluxDB). - Practical experience building applications with LLMs, Agentic Frameworks (LangGraph), and Vector Databases. - Hands-on experience with Graph Databases (Neo4j/Cypher), SQL database design, and Hybrid Search strategies. - Experience with Digital Twins, IoT, or Industrial Data. - Experience with GenAI/LLM architecture (RAG, Agents). - Background in Heavy Industry, O&G, or IoT data (MQTT, OPC UA). - Experience with Local LLMs (Ollama) for privacy-focused deployments. - Familiarity with Data Lineage or Metadata management. Benefits - Compensation is competitive and commensurate with experience. Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.