Data engineer jobs in Galveston, TX

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

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.

About the Company: This is a fantastic opportunity to join an internationally renowned powerhouse within the supply chain industry. You will have the opportunity to work on a variety of different projects across teams. In this position, you'll be the architect of our data pipelines, instrumental in operationalizing data & advanced analytics to drive organizational outcomes. Role: In this position, you'll be the architect of our data pipelines, instrumental in operationalizing data & advanced analytics to drive organizational outcomes. Your responsibilities will include: Strategic: Provide architectural input to project teams, aligning solutions with long-term data warehouse strategy. Data Management: Navigate various data architectures like Data Warehouse, Data Lake, Data Hub, and Data Vault, ensuring seamless integration and governance. Integration: Harness the power of ETL/ELT, data replication, message-oriented data movement, and API-based data acquisition to work with large, heterogeneous datasets. Data: Analyze large datasets, uncovering insights and anomalies that fuel informed decision-making. Requirements: Snowflake Proficiency in complex SQL code and DevOps capabilities. Experience with ETL tools and open-source/commercial message queuing technologies. Strong Python skills for data manipulation and automation. Preferred Experience: Familiarity with SQL Server, SAP Hana, Tableau, Power BI, dbt, and Azure Data Factory. Experience in building forecasting models including linear regression and time-series analysis. This role is based in Houston and they work on a hybrid model. Compensation offered is in the region of $100,000-$150,000 with additional bonus compensation dependent on company performance. The bonus is approximately 15%. If interested, please apply. Equal Opportunity Employer/Disability/Veterans.

*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.

ABOUT OUR CLIENT Our Client is a leading private equity firm driving growth and operational excellence across a diverse portfolio of companies. With a focus on digital transformation and value creation, the firm is committed to leveraging data as a strategic asset. This role offers the opportunity to lead data strategy at scale, influencing both portfolio company performance and overall investment outcomes. ABOUT THE ROLE The Data Management Leader will be responsible for shaping and executing enterprise-level data architecture, governance, and management strategies across portfolio companies. This is a high-impact, hybrid role that blends strategic vision with hands-on execution. Reporting to senior leadership, the position requires both technical depth and executive presence to implement robust data frameworks, optimize architecture, and enable data-driven decision-making. The ideal candidate brings a "doer" mentality and the ability to create measurable business value through data. RESPONSIBILITIES Define and execute a data management strategy aligned with portfolio growth and firm-wide objectives Lead cross-functional initiatives with data engineers, analysts, IT stakeholders, and business leaders Act as an advisor to portfolio companies on the adoption of modern data practices Define and implement scalable and secure data platforms aligned with best practices Oversee the development of big data solutions using tools such as Azure Synapse and Azure Databricks Manage structured and semi-structured datasets using Azure Data Lake, Avro, Parquet, and Delta tables Ensure efficient ingestion, curation, and integration processes across data environments Establish and enforce data governance frameworks using Microsoft Purview or Unity Catalog Develop KPIs to monitor data quality, ingestion, and consumption Implement secure self-service data access models for portfolio companies Lead the design and maintenance of ELT/ETL pipelines with Azure Data Factory, Databricks, or similar tools Manage an onshore/offshore team of data engineers, providing mentorship and conducting code reviews Oversee integration of external datasets, including public sources such as Enverus, IHS, and TGS Support visualization and insights through Power BI, Spotfire, and Plotly QUALIFICATIONS Ten or more years of experience in data management, architecture, or engineering for leadership roles; at least five years for senior-level roles Proven experience implementing scalable big data platforms with Azure Synapse, Databricks, or similar tools Strong expertise in data modeling, governance, and tools such as Microsoft Purview or Unity Catalog Proficiency in Python, R, SQL, and experience with REST APIs for data integration Hands-on experience with Azure Data Lake, Azure DevOps, and CI/CD pipelines Ability to manage structured and semi-structured datasets using modern file formats (Avro, Parquet) LEADERSHIP & COMMUNICATION Experience managing distributed teams across onshore and offshore environments Exceptional communication skills with the ability to translate technical solutions into business outcomes Proactive, results-driven, and execution-focused mindset PREFERRED QUALIFICATIONS Industry experience in energy, including exploration and production or energy transition and decarbonization Familiarity with MDM practices and external industry data sources EDUCATION Bachelor's, Master's, or PhD in Computer Science, Information Systems, or related field WHAT YOU WILL ACHIEVE Deliver scalable, secure, and impactful data solutions across a private equity portfolio Build a culture of data-driven decision-making across portfolio companies Establish yourself as a trusted leader in data strategy, creating measurable value through innovation and execution

********* NO THIRD PARTIES PLEASE******** This is a contract to hire position for a very stable organization. Great teammates and a great opportunity for growth and a long career. I-10 West Houston area location for the company. ****The position is REMOTE; however, I am seeking a local Houston candidate as there will be periodic times to come into the office for team meetings. Texas area candidates that are willing to relocate to Houston or at the very least commit to coming to periodic on-site team meetings. Summary: Seeking a Data Modeler that will be responsible for cleaning up to optimize workflows. This position will require strong hands-on Data Modeler experience. MUST have strong Microsoft Fabric experience, which is a key component for this particular role. Requirements: - 7+ years of Data Modeling experience - 3+ years in data modeling or analytics engineering with strong SQL. - Must have 2-3 years plus of hands-on Microsoft Fabric experience. - Lakehouse/Warehouse, One Lake, Delta tables, Dataflows Gen2 or Pipelines; familiarity with SQL endpoint usage. - Star schemas; fact types (transactional, periodic snapshot, accumulating); bridge tables for M: N; degenerate and junk dimensions. - SCD Type 1/2 with MERGE; effective/expiry dating; handling late-arriving data. - Power BI semantic modeling and DAX - Clean tabular model design; CALCULATE/KEEPFILTERS/USERELATIONSHIP; date intelligence; semi-additive measures; model properties (data types, sort-by, formatting). - Incremental refresh; basic aggregations; RLS. - Define tests (unique/not-null/accepted values), document metrics, manage endorsements; apply sensitivity labels for PII/regulated data. Translate stakeholder requirements into grain/facts/dimensions and certified measures; collaborate across DE, BI, and business teams.

Our Midstream Oil and Gas client is seeking a skilled Data Engineer to design, build, and maintain scalable data infrastructure that supports advanced analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and reliability across the organization. Key Responsibilities Design, develop, and maintain data pipelines and ETL/ELT processes for collecting, transforming, and storing data from multiple sources Build and optimize data models, data warehouses, and data lakes for analytics and reporting. Collaborate with stakeholders to define data architecture and ensure data integrity, consistency, and security Implement and maintain data quality frameworks, monitoring, and alerting systems. Work with cloud platforms (AWS, Azure, or GCP) to deploy scalable data infrastructure Support the integration of real-time streaming data using tools like Kafka, Kinesis, or Spark Streaming Automate workflows using orchestration tools such as Airflow, Prefect, or Dagster Ensure compliance with data governance, security, and privacy standards (e.g., GDPR, HIPAA). Troubleshoot data-related issues and optimize performance of queries and pipelines Required Qualifications 7+ years of experience as a Data Engineer or similar role Strong proficiency in SQL and a programming language such as Python Hands-on experience with ETL frameworks, data warehousing, and big data tools (e.g., Spark, Hadoop). Experience with cloud-based data solutions such as AWS Redshift, Snowflake, BigQuery, or Azure Synapse. Proficiency with data orchestration and workflow automation tools Solid understanding of data modeling, data architecture, and API integration

We are seeking a Senior Enterprise Data Architect to join our team on a contract basis. This role is pivotal in setting and modernizing technology for data and analytics, developing enterprise-wide logical data models, and creating incremental value through data products and evolving data solutions. The ideal candidate will have a strong background in IT, with 6-12 years of experience, and will be responsible for driving the data architecture vision and strategy to support our business objectives. This position focuses on creating a robust data foundation by collaborating with business data stakeholders, data product teams, and cross-functional IT teams to ensure data architecture aligns with business value and strategic goals. NOTE - onsite in Houston, TX 4 days per week. Will only consider local to Houston, TX 6-12-month contract Key Responsibilities: Technology Modernization: Lead initiatives to set and modernize technology for data and analytics, ensuring alignment with business goals and industry best practices. Data Modeling: Develop and maintain enterprise-wide logical data models to ensure consistency, scalability, and alignment with business needs. This includes high-level data reference models such as conceptual, logical, and physical data models. Data Solutions Development: Create and evolve data solutions that deliver incremental value, focusing on data products that enhance business operations and decision-making. Collaboration: Work closely with business stakeholders, data product teams, and IT teams to translate business requirements into technical data solutions. Serve as a bridge between data product teams, solution architects, and business stakeholders to ensure alignment with the enterprise data architecture strategy. Data Governance: Establish and enforce data governance processes, including data quality, security, compliance, and metadata management, to support regulatory requirements and business objectives. Innovation and Leadership: Stay abreast of industry trends and emerging technologies, providing thought leadership and guidance to optimize the data ecosystem. Lead proof-of-concept initiatives to evaluate innovative data technologies and their impact on the enterprise data landscape. Standards and Best Practices: Guide data product teams and solution architects by establishing standards and best practices, fostering data reusability, and ensuring consistency in data design and delivery. Qualifications: Experience: 6-12 years of IT experience, with a focus on data architecture or enterprise data management. Technical Skills: Proven experience in setting and modernizing technology for data and analytics. Strong expertise in developing enterprise-wide logical data models. Ability to develop incremental value through data products and evolving data solutions. Extensive expertise in data architecture, best practices, data modeling, governance, and integration standards. Collaboration Skills: Ability to work effectively across multiple functions and teams to deliver comprehensive data solutions. Analytical Skills: Strong analytical skills with the ability to identify, analyze, and resolve complex data-related challenges. Education: Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field. A master's degree is preferred. Desired Skills: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance frameworks and compliance requirements (e.g., GDPR, CCPA, or industry-specific regulations). Hands-on experience with data modeling tools and methodologies. Knowledge of AI/ML data architectures and their application in enterprise settings. Certification in data architecture or related frameworks (e.g., DAMA-DMBOK). Experience with real-time data processing or big data technologies (e.g., Kafka, Spark). Working Conditions: This position requires on-site work in Houston. Ability to work regular hours with occasional or mandatory overtime as needed. ECCO Select is committed to hiring and retaining a diverse workforce. Our policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Veterans of our United States Uniformed Services are specifically encouraged to apply for ECCO Select opportunities. Equal Employment Opportunity is The Law This Organization Participates in E-Verify

One of our staffing partners is helping a financial client hire a Data Scientist with data analyst skills Salary offered $60-75k per year Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Responsibilities: Design, train, and fine-tune Large Language Models (LLMs) for various applications experience with sql, excel, Powerbi Collaborate with cross-functional teams to integrate AI into real-world applications Analyze and preprocess massive datasets for AI-driven insights Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries Knowledge of transformer architectures, attention mechanisms, and reinforcement learning Experience with fine-tuning and optimizing foundation models Familiarity with cloud-based AI environments (AWS, Azure, or GCP) Experience with AI model deployment and optimization techniques

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

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.

Job title: Platform Engineer / DevOps Engineer - Trading Client: Elite FinTech Salary: $130,000-$200,000 Skills: Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python The role: My client are seeking a knowledgeable Platform Engineer to work on their low latency Linux estate. The role sits between Platform Engineering, DevOps, Linux Systems Administration and SRE, and incorporates elements of all these positions. You will build, design and architect automated solutions for scalable deployment, in private and public cloud infrastructure. You will work in both a project and BAU capacity, automating wherever possible. Core skills required: Linux Chef, Puppet or Ansible Kubernetes, Docker, or Podman CI/CD Python Desirable skills: IaC - Terraform, Helm, Ansible, Pulumi, Bicep AWS or GCP DR Block / Blob Storage HPC Please apply ASAP for more information.

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.

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).

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 are searching for a Sr. Application Developer for our client based in South Houston. This role is contract to hire and is a hybrid work schedule (2-3 days in office). Job Summary: We are seeking a talented Senior Developer with expertise in ASP.NET, Visual Basic, and SQL Enterprise technologies to join our innovative team. As a Senior Developer, you will be responsible for designing, developing, and maintaining high-quality software solutions that meet business requirements and exceed user expectations. You will leverage your technical skills and experience to lead development efforts, mentor junior team members, and contribute to the continuous improvement of our development processes. Responsibilities: Design, develop, and maintain software applications using ASP.NET, Visual Basic, and SQL Enterprise technologies. Collaborate with cross-functional teams to gather and analyze requirements, propose technical solutions, and implement system enhancements. Lead development efforts and provide technical guidance to junior developers throughout the software development lifecycle. Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines. Optimize application performance and scalability through efficient code design, database optimization, and system tuning. Troubleshoot and resolve technical issues, bugs, and performance bottlenecks in a timely manner. Stay abreast of emerging technologies and industry trends to recommend and implement innovative solutions. Contribute to the improvement of development processes and tools to enhance team productivity and software quality. Provide technical support and guidance to stakeholders, including end-users and business partners. Mentor junior developers, fostering a culture of learning, collaboration, and excellence within the team. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a software developer with expertise in ASP.NET, Visual Basic, and SQL Enterprise technologies. Strong proficiency in developing web-based applications using ASP.NET MVC or Web Forms. Extensive experience with Visual Basic (VB.NET) for desktop and web application development. Solid understanding of relational database concepts and experience with SQL Server or similar database systems. Proficiency in writing complex SQL queries, stored procedures, and database triggers. Experience with version control systems such as Git or SVN. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Ability to work independently and manage multiple priorities in a fast-paced environment. Demonstrated leadership abilities, including mentoring and coaching junior team members. Preferred Qualifications: Degree in Computer Science, Engineering, or related field. Experience with modern web development frameworks such as ASP.NET Core or Angular. Knowledge of cloud platforms such as Azure or AWS. Familiarity with Agile methodologies and development tools such as Jira. Certification in Microsoft technologies (e.g., MCSD) is a plus.

Staff Software Engineer - Houston, TX or Remote (U.S.) 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 Software Engineer to join their team. What will I be doing: Lead the design and delivery of fullstack features with a focus on quality, performance, and maintainability Collaborate with product, design, and AI teams to translate business goals into technical solutions Improve engineering processes including code quality, testing, CI/CD, monitoring, and developer experience Partner with engineering leadership to refine architecture, improve developer workflows, and strengthen technical foundations Contribute to the support of the company's software and systems to accelerate your understanding of the business and industry Mentor and guide other engineers, sharing best practices and raising the technical bar across the team What are we looking for: 8+ years of professional software engineering experience with a strong fullstack foundation A track record of improving codebases, scaling systems, and introducing effective engineering practices Depth in backend/API development and architectural design for scalable, high-availability systems Strong product intuition and a collaborative mindset Experience mentoring engineers and influencing technical direction beyond your own code Ability to make pragmatic tradeoffs and judgment to know when to invest in long-term improvements What's in it for me: High-impact role in a fast-moving environment where you'll help shape the product, processes, and technical foundation as they scale Opportunity to work on cutting-edge technology that's redefining how people own and service critical home equipment Competitive salary up to $300k based on experience and location Flexible work arrangement with remote options across the U.S. Apply now for immediate consideration!

We are seeking an experienced Senior AI Platform Developer to take ownership of our enterprise-grade conversational AI system that powers multiple specialized bots for different business functions. This is a hands-on technical role that combines cutting-edge AI/ML development with enterprise integration and business stakeholder engagement. Technology Stack: • Backend: Python 3.10+, FastAPI, Async/Await patterns • AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns • Frontend: Vanilla JavaScript, MSAL.js authentication, Server-Sent Events • Databases: Snowflake, SQL Server, Azure Cosmos DB • Search: Azure AI Search with semantic ranking • Infrastructure: Ubuntu Linux, Nginx, Docker, Systemd • Cloud: Azure (OpenAI, Cosmos DB, Blob Storage, AI Search) • Auth: Azure AD with OAuth 2.0/OIDC Key Responsibilities 1. Platform Development & Maintenance • Maintain and enhance the existing AI platform • Implement bug fixes and performance optimizations • Ensure 99.9% uptime for production services • Manage streaming responses, conversation history, and document exports • Handle natural language to SQL generation for database queries • Maintain authentication flow with Azure AD and token management 2. New Bot Development • Work with business stakeholders to identify AI automation opportunities • Design and implement new specialized bots following established patterns • Create intelligent system prompts with context injection • Integrate with enterprise data sources (databases, APIs, documents) • Implement RAG (Retrieval-Augmented Generation) patterns • Build natural language interfaces for complex business queries 3.Business Partnership • Meet with department heads to understand pain points • Translate business requirements into technical solutions • Demo capabilities and gather feedback • Create documentation for end users • Provide training and support for new features • Measure and report on bot usage and value delivered 4. Technical Excellence • Optimize Azure OpenAI token usage and costs • Improve response accuracy and relevance • Enhance error handling and user experience • Document code changes and architectural decisions Participate in code reviews and knowledge sharing • Stay current with AI/ML best practices. Required Technical Skills Must-Have Experience • 5+ years of Python development with strong async/await experience • 2+ years working with LLMs (GPT-4, Claude, etc.) and prompt engineering • Production experience with FastAPI or similar async frameworks • SQL expertise including complex queries and database design • Cloud platforms - Azure preferred, AWS/GCP acceptable • Linux/Unix administration and shell scripting • Git version control and collaborative development Required Knowledge Areas • Natural Language Processing: Understanding of embeddings, RAG, semantic search • Streaming architectures: SSE, WebSockets, async generators • Authentication: OAuth 2.0, JWT tokens, session management • Database systems: Both SQL and NoSQL paradigms • RESTful APIs: Design, implementation, and consumption • Infrastructure as Code: Docker, nginx configuration.

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.