Data engineer jobs in Spring, 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 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.

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.

I want to do 3 rounds of interviews: Teams virtual tech interview with senior developers Karat screening In person interview with managers and directors 5+ years of experience in data engineering, sql and nosql databases like oracle, sql server, postgres, db2, elastic, mongo db and advanced python skills. Advanced application development experience with implementing business logic utilizing SQL procedures and NOSQL utilities Experience with design and development of scalable and performant processes Expert in Python development and fast API microservices what IDEs and tools did they use to code and test? Development experience with real time user interactive applications and communicate between UI and database what protocols/data formats did they use to interact between db and UI

Title: Data Analytics Engineer Type: 6 Month Contract (Full-time is possible after contract period) Schedule: Hybrid (3-4 days onsite) Sector: Oil & Gas Overview: You will be instrumental in developing and maintaining data models while delivering insightful analyses of maintenance operations, including uptime/downtime, work order metrics, and asset health. Key Responsibilities: Aggregate and transform raw data from systems such as CMMS, ERP, and SCADA into refined datasets and actionable reports/visualizations using tools like SQL, Python, Power BI, and/or Spotfire. Own the creation and maintenance of dashboards for preventative and predictive maintenance. Collaborate cross-functionally to identify data requirements, key performance indicators (KPIs), and reporting gaps. Ensure high data quality through rigorous testing, validation, and documentation. Qualifications and Skills: Bachelor's degree required. Proficiency in Python and SQL is essential. Knowledge of API rules and protocols. Experience organizing development workflows using GitHub. Familiarity with Machine Learning is a plus. Preference for candidates with experience in water midstream/infrastructure or Oil & Gas sectors. Expertise in dashboard creation using tools like Tableau, Spotfire, Excel, or Power BI. Ability to clearly communicate technical concepts to non-technical stakeholders. Strong organizational skills and a customer-service mindset. Capability to work independently or collaboratively with minimal supervision. Exceptional analytical and problem-solving skills, with a strategic approach to prioritization. Ability to analyze data, situations, and processes to make informed decisions or resolve issues, with regular communication to management. Excellent written and verbal communication skills.

Job Title: Python Data Engineer Experience & Skills 5+ years in Data Engineering with strong SQL and NoSQL database skills: Databases: Oracle, SQL Server, Postgres, DB2, Elasticsearch, MongoDB Advanced Python development and FastAPI microservices experience Application development experience implementing business logic via SQL stored procedures and NoSQL utilities Experience designing scalable and performant processes: Must provide metrics: transactions/day, largest DB table size, concurrent users, API response times Real-time interactive applications with UI-to-database communication: Must explain protocols and data formats used (e.g., JSON, REST, WebSockets) Experience using LLM models, coding agents, and testing agents: Provide specific examples of problem-solving Ability to handle support and development simultaneously: Detail daily split between support and development, ticketing system usage, or direct user interaction Bachelor's degree in Computer Science or relevant major Strong analytic skills, AI tool usage, multitasking, self-management, and direct collaboration with business users Not a Good Fit Experience limited to ETL / backend processes / data transfer between databases Experience only on cloud platforms (Azure, AWS, GCP) without SQL/NoSQL + Python expertise Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

a. Relevant experience to be more than 8-9 years, Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark, need excellent communication. Thanks Rakesh Pathak | Senior Technical Recruiter Phone: ************ *************************| *************** **********************************************************

Job Title: Data Modeler II Contract: 12+ Months with Possible Extension Department: SCM Enablement & Innovation - SCM team enabling and innovate - enable to innovate key misconception is they are from the business, they are not an IT group, and they are managing innovations on the business side. This role will involve creating solutions, will not be a power BI development role. Presenting and creating solutions for client - we as a team attempt to solve enterprise solutions with business teams and develop some of those solutions for small and medium problems for low code solutions core ERP system client is using is Oracle Cloud Responsibilities: Need someone who has a depth of AI understanding - have a good understanding of python in terms of data transformations, project management, understanding requirements, and gathering data Must do user acceptance testing and deployment Ability to oversee projects they are working on and plan ahead without needing that guidance/instruction - ability to be proactive Providing end to end solutions Gathering data from ERP system, putting into data verse, creating prompts, etc. Gathering pain points from customers and need to discuss with team on how to solve that problem Reviewing anything else outside of ERP to massage and present to customers/stakeholders and provide solutions to their problems Data bricks (good knowledge needed), data verse and API connection between ERP and Oracle Platforms Using power automate/power apps Translate business to technical terms and vice versa Skills: Need someone who has a depth of AI understanding - have a good understanding of python in terms of data transformations, project management, understanding requirements, and gathering data Knowledge of implementing solutions using data bricks would be valuable Should have good understanding end to end user enterprise and how the user should interact with local platforms Good understanding of Oracle Cloud 50/50 technical/business oriented - DOES NOT want someone super technical who cannot speak on behalf of the business Some knowledge in supply chain OR oil & gas industry needed Experience cleaning data is a huge plus

Our company is seeking a Senior Data Architect for a fully onsite, 3-month contract opportunity in Houston. This position centers on modernizing core data operations and migrating five analytics models to an Azure Fabric environment. Key Responsibilities: Lead the migration of existing models and data pipelines into Azure Fabric infrastructure. Apply strong data architecture principles to ensure robust, scalable solutions. Design, build, and optimize ETL pipelines using T-SQL and PySpark to support ongoing modernization. Modernize, productionize, and operationalize five existing machine learning/data models. Implement DevOps best practices for deployment, testing, and continuous integration. Conduct framework and code strategy reviews, focusing on code optimization and maintainability. Collaborate cross-functionally with data science, engineering, and IT teams to deliver high-impact solutions. Establish comprehensive testing protocols for reliability and performance. Requirements: Proven experience in advanced data architecture and model migration projects. Expertise working with Azure Fabric infrastructure environments. Hands-on proficiency in T-SQL and PySpark. Demonstrated success modernizing and productionizing data models in enterprise environments. Strong background in DevOps, CI/CD pipelines, and automated testing. Experience developing and optimizing ETL processes for large-scale data systems. Ability to deliver results under tight timeframes and changing priorities. Excellent communication and stakeholder management skills.

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.

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.

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!

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.

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.

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.

Relevant experience to be more than 8-9 years, Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark, need excellent communication Thanks Aatmesh *************************