Requirements engineer jobs in Houston, TX

Job Title: Cloud Engineer The Cloud Engineer is responsible for designing, deploying, managing, and optimizing cloud-based infrastructure and services. This role ensures secure, scalable, and efficient cloud environments across platforms such as AWS, Azure, or Google Cloud. The position supports both project initiatives and day-to-day operations, with a focus on automation, reliability, and cost optimization. Key Responsibilities Design, implement, and maintain cloud infrastructure including compute, storage, networking, and security resources Build and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, ARM/Bicep, or Pulumi Develop automation scripts and workflows to improve deployment speed, consistency, and reliability Monitor cloud environments for performance, cost efficiency, availability, and security compliance Implement and manage identity, access, and security controls within cloud platforms Support containerization and orchestration solutions (Docker, Kubernetes, ECS, AKS, GKE) Collaborate with development, DevOps, security, and IT teams to design cloud-native and hybrid solutions Troubleshoot cloud-related issues spanning compute, networking, storage, automation, and CI/CD pipelines Assist with cloud migrations, optimization efforts, and architecture improvements Maintain documentation for cloud deployments, standards, and operational procedures Required Qualifications and Experience 2-5+ years of hands-on experience with AWS, Azure, or Google Cloud Strong understanding of cloud networking (VPCs, VNets, routing, firewalls, load balancers) Experience with automation and Infrastructure as Code tools (Terraform, CloudFormation, ARM, etc.) Familiarity with scripting languages such as Python, PowerShell, or Bash Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.) Knowledge of cloud security best practices, IAM principles, and compliance standards Strong troubleshooting and analytical skills Preferred Qualifications Cloud certifications such as AWS Solutions Architect, AWS SysOps, Azure Administrator, Azure Solutions Architect, or Google Cloud Engineer Experience with serverless technologies (Lambda, Azure Functions, Cloud Run) Familiarity with monitoring and logging tools (CloudWatch, Azure Monitor, Stackdriver, Datadog) Experience with hybrid cloud environments and on-prem integration Knowledge of DevOps practices and container orchestration Education Bachelor's degree in Computer Science, Information Technology, Engineering, or related field preferred Equivalent hands-on experience will be considered

Note : Please share USC/GC profiles only Job Role : Databricks Engineer Long Term Contract A Databricks Engineer is responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions using the Databricks Lakehouse Platform. This role involves working with big data technologies, ensuring data quality, enabling advanced analytics and machine learning workflows, and supporting cross-functional data teams. Key Responsibilities • Develop workflows and jobs in Databricks notebooks, Jobs, Workflows, and Delta Live Tables. • Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark • Implement real-time and batch data processing solutions. • Integrate data from diverse sources (APIs, streaming platforms, databases, cloud storage). • Manage and optimize Databricks clusters, pools, jobs, and workspace configurations. • Apply best practices for cluster sizing, performance tuning, autoscaling, and cost optimization. • Configure role-based access controls, audit logs, and Unity Catalog permissions. • Ensure adherence to data privacy, compliance, and governance requirements. • Implement secure data ingestion, encryption, and key management.

Platform Engineer Houston, TX / Kansas City, MO 6/12 Months The Platform Engineer will design, develop, and deploy complex infrastructure operating platforms and solutions while providing technical expertise to clients and internal teams. This role involves creating and implementing platforms that manage and support various software applications and processes. The engineer will collaborate with cross-functional teams to deliver enterprise and software solutions aligned with organizational standards for client satisfaction, commitment, integrity, safety, and outstanding service. Key Responsibilities Design, develop, and deploy complex infrastructure and network solutions. Develop and implement automation scripts to optimize infrastructure management. Collaborate with cross-functional teams to deliver enterprise software solutions. Monitor security and compliance of infrastructure systems and networks. Troubleshoot and resolve complex technical issues, including system outages. Develop and deploy new software and test applications. Respond to security incidents and provide remediation guidance. Implement security systems and policies to protect organizational information. Monitor systems for unauthorized access, theft, and damage. Analyze security alerts and threats; respond to prevent breaches and incidents. Perform other duties as assigned while complying with all company policies and standards. Qualifications Education: Bachelor's degree in technology, business, or related field OR High school diploma + minimum 7 years of relevant experience. Experience: Minimum 3 years in infrastructure and network systems design, deployment, and management, system engineering, or related roles. Skills & Competencies Strong computer skills (Microsoft Office Suite). Excellent written and verbal communication skills. Ability to work collaboratively and resolve issues in a team environment. Critical thinking and analytical problem-solving skills. Strong attention to detail, facilitation, and collaboration. Technical Expertise Experience with Python and React development. Knowledge of security systems, policies, vulnerability management, and remediation. Familiarity with cloud technologies, automation scripts, and infrastructure management. Certification & Cybersecurity Security+ certification preferred (not required). Must have foundational cybersecurity experience to successfully complete ICS-specific training after onboarding.

We're seeking a self-motivated individual to fill their AI Engineer position. We are seeking an experienced engineer with a background in developing enterprise level solutions and utilizing AI tools in an enterprise environment. This individual will be part of and work directly with the Information Technology team to ensure optimal system performance, data integrity, and operational efficiency. Key Responsibilities: AI Development & DeploymentBuild and roll out AI/ML solutions that connect with ERP, MES, SCE, CPQ, and other enterprise systems. Identify inefficiencies and apply AI where it makes the most impact on ROI, whether through automation, optimization, or predictive insights. Develop and maintain in-house AI tools including NLP, forecasting, and analytics models. Recommend solutions to leadership with clear pros and cons. Work independently and deliver from prototype through production. Data and Integration Own the pipelines that prepare data for AI, including ETL, feature engineering, and training workflows. Ensure data quality so models are built and deployed on reliable information. Build and support APIs and integrations that allow models to work directly with enterprise applications. Document datasets, integrations, and model performance in a clear and usable way. Process OptimizationMap out current processes, find bottlenecks, and show where AI can improve outcomes. Work with Operations, Manufacturing, Finance, and other teams to translate requirements into real AI solutions. Support business process changes by embedding AI into workflows. Training and DocumentationWrite documentation for models, APIs, and integrations that anyone can follow. Train users on AI tools to help adoption and long-term success. Contribute to standards for AI governance, versioning, and responsible use. Reporting and Analytics Build and automate dashboards and reports that use AI to provide real insights. Support business users with predictive modeling, advanced analytics, and reporting needs. QualificationsBachelor's degree in Computer Science, Data Science, AI, or a related field. 3+ years of experience in AI/ML development and deployment. Solid SQL and relational database experience. Knowledge of the full model lifecycle including training, deployment, monitoring, and retraining. Background with enterprise systems like ERP, MES, SCE, or CPQ. Experience with APIs, microservices, and cloud AI platforms such as Azure or AWS. Strong problem-solving skills with the ability to deliver scalable AI solutions. Preferred SkillsExperience with Infor ERP or similar enterprise systems. Familiarity with large language models (LLMs) and how to apply them in business. Understanding of manufacturing and supply chain operations. Experience with MLOps including automation and CI/CD for AI models. Personal AttributesLearns quickly and adapts to new AI/ML methods. Explains technical ideas in plain language. Self-motivated and able to deliver from idea through to completion. Strong attention to detail with practical problem-solving ability. Work ConditionsAfter-hours availability dependent on need. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components. Other duties as assigned.

Job Title: Senior Software Engineer / Quant Developer (JG4 Level) Duration: Long-term contract with possibility of extension The Senior Data Engineer will design and build robust data foundations and end-to-end data solutions to enable the business to maximize value from data. This role plays a critical part in fostering a data-driven culture across both IT and business stakeholder communities. The Senior Data Engineer will act as a subject matter expert (SME), lead solution design and delivery, mentor junior engineers, and translate Data Strategy and Vision into scalable, high-quality IT solutions. Key Responsibilities Design, build, and maintain enterprise-grade data foundations and end-to-end data solutions. Serve as a subject matter expert in data engineering, data modeling, and solution architecture. Translate business data strategy and vision into scalable technical solutions. Mentor and guide junior data engineers and contribute to continuous capability building. Drive the rollout and adoption of Data Foundation initiatives across the business. Coordinate change management, incident management, and problem management processes. Present insights, reports, and technical findings to key stakeholders. Drive implementation efficiency across pilots and future projects to reduce cost, accelerate delivery, and maximize business value. Actively contribute to community initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP). Collaborate effectively with both technical teams and business leaders. Key Characteristics Highly curious technology expert with a continuous learning mindset. Strong data-domain expertise with deep technical focus. Excellent communicator who can engage both technical and non-technical stakeholders. Trusted advisor to leadership and cross-functional teams. Strong driver of execution, quality, and delivery excellence. Mandatory Skills Cloud Platforms: AWS, Azure, SAP - Expert Level ELT: Expert Level Data Modeling: Expert Level Data Integration & Ingestion Data Manipulation & Processing DevOps & Version Control: GitHub, GitHub Actions, Azure DevOps Data & Analytics Tools: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Optional / Nice-to-Have Skills Experience leading projects or running a Scrum team. Experience with BPC and Planning. Exposure to external technical ecosystems. Documentation using MkDocs.

About the Role The Senior Data Engineer will play a critical role in building and scaling an enterprise data platform to enable analytics, reporting, and operational insights across the organization. This position requires deep expertise in Snowflake and cloud technologies (AWS or Azure), along with strong upstream oil & gas domain experience. The engineer will design and optimize data pipelines, enforce data governance and quality standards, and collaborate with cross-functional teams to deliver reliable, scalable data solutions. Key Responsibilities Data Architecture & Engineering Design, develop, and maintain scalable data pipelines using Snowflake, AWS/Azure, and modern data engineering tools. Implement ETL/ELT processes integrating data from upstream systems (SCADA, production accounting, drilling, completions, etc.). Architect data models supporting both operational reporting and advanced analytics. Establish and maintain frameworks for data quality, validation, and lineage to ensure enterprise data trust. Platform Development & Optimization Lead the build and optimization of Snowflake-based data warehouses for performance and cost efficiency. Design cloud-native data solutions leveraging AWS/Azure services (S3, Lambda, Azure Data Factory, Databricks). Manage large-scale time-series and operational data processing workflows. Implement strong security, access control, and governance practices. Technical Leadership & Innovation Mentor junior data engineers and provide technical leadership across the data platform team. Research and introduce new technologies to enhance platform scalability and automation. Build reusable frameworks, components, and utilities to streamline delivery. Support AI/ML initiatives by delivering production-ready, high-quality data pipelines. Business Partnership Collaborate with stakeholders across business units to translate requirements into technical solutions. Work with analysts and data scientists to enable self-service analytics and reporting. Ensure data integration supports regulatory and compliance reporting. Act as a bridge between business and technical teams to ensure alignment and impact. Qualifications & Experience Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree or relevant certifications (SnowPro, AWS/Azure Data Engineer, Databricks) preferred. Experience 7+ years in data engineering roles, with at least 3 years on cloud data platforms. Proven expertise in Snowflake and at least one major cloud platform (AWS or Azure). Hands-on experience with upstream oil & gas data (wells, completions, SCADA, production, reserves, etc.). Demonstrated success delivering operational and analytical data pipelines. Technical Skills Advanced SQL and Python programming skills. Strong background in data modeling, ETL/ELT, cataloging, lineage, and data security. Familiarity with Airflow, Azure Data Factory, or similar orchestration tools. Experience with CI/CD, Git, and automated testing. Knowledge of BI tools such as Power BI, Spotfire, or Tableau. Understanding of AI/ML data preparation and integration.

Senior DevOps Engineer Houston, TX $155,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

Staff Data Engineer - Houston, TX or US Remote A Series B funded startup who are building the infrastructure that powers how residential HVAC systems are monitored, maintained, and serviced are looking for a Staff Data Engineer to join their team. What will I be doing: Help architect and build the core data platform that powers the company's intelligence - from ingestion and transformation to serving and analytics Design and implement scalable data pipelines (batch and streaming) across diverse data sources including IoT sensors, operational databases, and external systems Work with high-performance database technologies Define foundational data models and abstractions that enable high-quality, consistent access for analytics, product, and ML workloads Collaborate with AI/ML, Product, and Software Engineering teams to enable data-driven decision-making and real-time intelligence Establish engineering best practices for data quality, observability, lineage, and governance Evaluate and integrate modern data technologies (e.g., Redshift, S3, Spark, Airflow, dbt, Kafka, Databricks, Snowflake, etc.) to evolve the platform's capabilities Mentor engineers across teams What are we looking for: 8+ years of experience as a software or data engineer, including ownership of large-scale data systems used for analytics or ML Deep expertise in building and maintaining data pipelines and ETL frameworks (Python, Spark, Airflow, dbt, etc.) Strong background in modern data infrastructure Proficiency with SQL and experience designing performant, maintainable data models Solid understanding of CI/CD, infrastructure-as-code, and observability best practices Experience enabling ML workflows and understanding of data needs across the model lifecycle Comfort working with cloud-native data platforms (AWS preferred) Strong software engineering fundamentals Excellent communicator What's in it for me: Competitive compensation up to $250,000 dependent on experience and location Foundational role as the first Staff Data Engineer Work hand-in-hand with the Head of Data to design and implement systems, pipelines, and abstractions that make us an AI-native company Apply now for immediate consideration!

Python Data Engineer - Houston, TX (Onsite Only) A global energy and commodities organization is seeking an experienced Python Data Engineer to expand and optimize data assets that support high-impact analytics. This role works closely with traders, analysts, researchers, and data scientists to translate business needs into scalable technical solutions. The position is fully onsite due to the collaborative, fast-paced nature of the work. MUST come from an Oil & Gas organization, prefer commodity trading firm. CANNOT do C2C. Key Responsibilities Build modular, reusable Python components to connect external data sources with internal tools and databases. Partner with business stakeholders to define data ingestion and access requirements. Translate business requirements into well-designed technical deliverables. Maintain and enhance the central Python codebase following established standards. Contribute to internal developer tools and ETL frameworks, helping standardize and consolidate core functionality. Collaborate with global engineering teams and participate in internal Python community initiatives. Qualifications 7+ years of professional Python development experience. Strong background in data engineering and pipeline development. Experience with web scraping tools (Requests, BeautifulSoup, Selenium). Hands-on Oracle/PL SQL development, including stored procedures. Strong grasp of object-oriented design, design patterns, and service-oriented architectures. Experience with Agile/Scrum, code reviews, version control, and issue tracking. Familiarity with scientific computing libraries (Pandas, NumPy). Excellent communication skills. Industry experience in energy or commodities preferred. Exposure to containerization (Docker, Kubernetes) is a plus.

We're looking for a DevOps Engineer who can design, implement, and maintain the infrastructure and automation that powers modern application delivery. This role focuses on building scalable systems, streamlining deployments, and ensuring reliability across cloud environments. The ideal candidate thrives in fast-paced settings, values collaboration, and is passionate about automation and cloud technologies. Responsibilities Develop and maintain CI/CD pipelines to enable automated builds, testing, and deployments. Manage cloud infrastructure using Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi). Monitor and optimize performance across distributed systems and microservices. Automate configuration management and provisioning using tools like Ansible, Chef, or Puppet. Improve system reliability through observability, logging, alerting, and incident response best practices. Collaborate with development teams to refine build processes and deployment strategies. Maintain containerized environments using Docker and orchestration platforms such as Kubernetes, ECS, or EKS. Implement security best practices for infrastructure, pipelines, and secrets management. Document standards, processes, and system architecture for maintainability and knowledge sharing. Skills Required: 3+ years in DevOps, SRE, or similar engineering roles. Strong experience with AWS services (EC2, EKS, VPC, IAM, Lambda, CloudWatch). Proficiency in Kubernetes operations and deployment strategies. Hands-on experience with GitOps tools (e.g., ArgoCD) for continuous deployment. Expertise in containerization (Docker) and Helm for Kubernetes packaging. Advanced Infrastructure-as-Code skills using Terraform. Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI). Knowledge of Linux systems, networking, and security fundamentals. Preferred: Experience with additional IaC frameworks (Pulumi, CloudFormation). Exposure to microservices architecture and GitOps workflows. Cloud certifications (AWS, Azure, GCP). Understanding of cost optimization and scaling strategies. Soft Skills: Strong communication and collaboration abilities. Problem-solving mindset focused on reliability and scalability. Ability to work independently in agile environments. Ownership mentality and proactive approach to automation. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

We are seeking an experienced Data Engineer (5+ years) to join our Big Data & Advanced Analytics team. This role partners closely with Data Science and key business units to solve real-world midstream oil and gas challenges using machine learning, data engineering, and advanced analytics. The ideal candidate brings strong technical expertise and thought leadership to help mature and scale the organization's data engineering practice. Must-Have Skills Python (Pandas, NumPy, PyTest, Scikit-Learn) SQL Apache Airflow Kubernetes CI/CD Git Test-Driven Development (TDD) API development Working knowledge of Machine Learning concepts Key Responsibilities Build, test, and maintain scalable data pipeline architectures Work independently on analytics and data engineering projects across multiple business functions Automate manual data flows to improve reliability, speed, and reusability Develop data-intensive applications and APIs Design and implement algorithms that convert raw data into actionable insights Deploy and operationalize mathematical and machine learning models Support data analysts and data scientists by enabling data processing automation and deployment workflows Implement and maintain data quality checks to ensure accuracy, completeness, and consistenc

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

*Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship* Data Engineer Duration: Contract to hire Looking for someone with Proficiency in languages Scala or Python, Platform Databricks or AWS framework (EMR Spark), and strong SQL skills & Terraform development. Position Description: 5-7 + Years of experience in Data Engineering Must Have - Proficiency in languages Scala or Python Platform Databricks or AWS framework (EMR Spark), Strong SQL skills & Terraform development.

Must Haves: Strong proficiency in Python; 5+ years' experience. Expertise in Fast API and microservices architecture and coding Linking python based apps with sql and nosql db's Deployments on docker, Kubernetes and monitoring tools Experience with Automated testing and test-driven development Git source control, git actions, ci/cd , VS code and copilot Expertise in both on prem sql dbs (oracle, sql server, Postgres, db2) and no sql databases Working knowledge of data warehousing and ETL Able to explain the business functionality of the projects/applications they have worked on Ability to multi task and simultaneously work on multiple projects. NO CLOUD - they are on prem Day to Day: Insight Global is looking for a Python Data Engineer for one of our largest oil and gas clients in Downtown Houston, TX. This person will be responsible for building python-based relationships between back-end SQL and NoSQL databases, architecting and coding Fast API and Microservices, and performing testing on back-office applications. The ideal candidate will have experience developing applications utilizing python and microservices and implementing complex business functionality utilizing python.

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. About the Role As an ETRM Support Developer, you will play a key role in the design, development, and support of applications that drive gas and power trading operations. Working closely with traders, analysts, and IT teams, you'll contribute to system reliability, performance, and innovation across the trading value chain - from deal capture to risk management and reporting. You will be responsible for delivering both tactical and strategic solutions that enhance trading efficiency while maintaining the highest standards of reliability, quality, and cybersecurity compliance. Key Responsibilities Software Development & Integration Design, develop, and maintain trading system components using C#/.NET and related technologies. Implement software enhancements, integrations, and fixes according to business and architectural specifications. Collaborate with Solution Architects and Tech Leads to define technical solutions aligned with project goals. Integrate trading systems with market data feeds and exchanges. Participate in code reviews and contribute to continuous improvement of development standards and guidelines. Support risk, pricing, and valuation workflows used by Middle and Front Office teams. Service Delivery & Support Provide level 2/3 support to business users and help resolve incidents and issues in production. Manage the backlog of change requests and ensure timely, high-quality delivery. Ensure development and operational activities comply with internal controls, cybersecurity, and regulatory frameworks (e.g., SOX, NERC, FERC). Maintain close collaboration with other IT and business teams to ensure smooth service delivery and system evolution. Qualifications 2-10 years of experience in software development, in Capital Markets & Front Office desks Strong proficiency in C#/.NET and SQL; experience with Angular, ASP.NET, or Web API is a plus. MANDATORY - Experience supporting and working with traders Familiarity with ETRM systems, bid-to-bill integrations, or complex trading platforms. Understanding trade workflow (Fixed Income, Equity, Commodities) Experience with exchange APIs and system integration best practices. Knowledge of cloud technologies (AWS, Azure) and DevOps tools (Git, TFS, CI/CD pipelines). Bachelor's or Master's degree in Computer Science, Engineering, or related field.

• Relevant experience to be more than 5-6 years, Very Proficient in Databricks, DLT (Delta Live Tables) framework and PySpark, adept at good technical conversations Thanks & Regards Alok Ranjan Pathak | Team Lead - US Staffing Email: *********************** | Desk: ************** Ampstek LLC - Global IT Partner | ***************

Houston, TX - Onsite Contract to Hire Role Overview Splunk Engineers design, deploy, and maintain Splunk platforms to collect, analyze, and visualize machine data for security, operations, and compliance insights. Key Responsibilities Build and optimize Splunk environments (on-prem, cloud, hybrid). Ingest and normalize data from apps, systems, and networks. Create dashboards, alerts, and searches using SPL and regex. Integrate with SIEM, security tools, and automation platforms. Tune performance, troubleshoot issues, and ensure security/compliance. Collaborate with teams and document solutions. Required Skills & Experience 3-5+ years with Splunk Enterprise/Cloud. Strong SPL, Python/JavaScript, regex, and CIM knowledge. Experience with data pipelines, cloud (AWS/Azure), and logging. Splunk certifications (Power User, Architect, or ES Admin). Bachelor's in CS/IT or related field. Nice to Have Splunk Enterprise Security (ES) or ITSI experience. DevOps tools (Git, Jenkins, Ansible). Security certifications (CISSP, GIAC).

Plumbing Engineer (EIT or PE) Onsite in Memorial City Direct Hire with Benefits, PTO We're seeking a motivated Plumbing Engineer (EIT or PE) to join a collaborative MEP (Mechanical, Electrical, and Plumbing) engineering team. Revit and MEP experience are both required. Resumes without Revit and MEP will not be considered. ***If you're interested in this opportunity, please apply here or send your resume directly to *************************** --No Corp to Corp at this time, please. --All candidates must be able to work for any employer in the United States without current or future sponsorships needs. In this role, you'll contribute to designing innovative and sustainable plumbing systems for educational, commercial, and institutional projects. You'll gain hands-on experience working with senior engineers, learning the full design process-from concept to construction-while building a strong foundation for your professional growth. Key Responsibilities Assist in the design and documentation of plumbing systems, including domestic water, sanitary waste, storm drainage, and fire protection. Perform engineering calculations and support the production of AutoCAD and Revit drawings. Review shop drawings, RFIs, and submittals related to plumbing system design. Conduct field observations to verify installations and ensure alignment with design intent. Collaborate with cross-discipline teams to deliver high-quality, coordinated construction documents. Requirements Bachelor's degree in Mechanical Engineering or a related field. Successful completion of the Fundamentals of Engineering (F.E.) exam. Certified or eligible for certification as an Engineer-in-Training (EIT) or PE (Professional Engineer). Experience with Revit. Excellent attention to detail, organization, and problem-solving skills. Ability to manage multiple projects while collaborating effectively in a team environment. Familiarity with AutoCAD, Bluebeam, and Microsoft Office Suite. Working knowledge of plumbing and mechanical codes (Uniform Plumbing Code, NFPA standards). Prior internship or experience in an MEP consulting environment. Understanding of water distribution, drainage, gas, and fire protection systems. What We Offer: Competitive salary commensurate with experience. Comprehensive health insurance, 401(k), and paid holidays/PTO. Mentorship and professional development opportunities. Exposure to diverse and meaningful building projects. A collaborative, supportive team environment that values innovation and growth.

Job Title: Senior Software Engineer / Quant Developer (JG3 Level) Duration: Long-term contract with possibility of extension We are seeking a senior-level, hands-on Software Engineer with strong quantitative and analytical skills to support trading and risk activities within the T&S organization. This role requires deep domain expertise in derivatives, futures markets, and financial trading systems, along with strong technical capabilities in Python, PowerShell, SQL, and scripting. Key Requirements This is a JG3 senior-level role requiring both leadership and strong hands-on technical skills. Derivative trade lifecycle experience is mandatory. Deep understanding of global futures exchanges is essential. Background in commodity trading, capital markets, or investment banking strongly preferred. Strong proficiency in Python, PowerShell, and SQL is required. Experience with scripting and automation. Ideal candidates include: Python Developers Quant Analysts / Quant Developers Professionals with an economics or finance background who also have business analysis (BA) experience What This Role Looks Like The Senior Engineer will be responsible for ensuring the accuracy and integrity of trading data and providing actionable insights to support decision-making across the trading organization. Key expectations include: Collaborate with multiple teams within T&S to gather data, understand requirements, and validate information. Build data pipelines, analytical tools, and insight-driven platforms. Provide traders with clear, accurate insights that support real-time decision-making. Apply BA skills to understand business needs, translate them into technical solutions, and ensure alignment with trading strategies. Work cross-functionally with trading, risk, data, and technology teams. This role blends technical engineering, quantitative analysis, and business analysis, making it critical for supporting efficient and informed trading operations. Location & Work Expectations This position is onsite at the Houston OTM office-candidates must be prepared to work in person. Start date: January 15, 2026 Long-term engagement with strong potential for extension.