Data engineer jobs in Texas City, 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.

A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making. Day-to-Day Responsibilities: Design, train, and fine-tune machine learning, deep learning, and LLM models Collect, process, and analyze structured/unstructured datasets Engineer features to improve predictive model performance Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference) Deploy and monitor ML models using MLOps best practices Build dashboards and presentations to communicate insights Collaborate with stakeholders to translate data insights into business strategy Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong AI/ML and LLM foundation Experience with NLP, deep learning, and predictive modeling Python proficiency and experience with PyTorch, TensorFlow, Hugging Face Strong SQL and data engineering skills AWS experience (SageMaker, S3, Redshift) and ML pipeline automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit Benefits: This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility

We are currently seeking a Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Data Engineer will work closely with the Data Science team and Business functions to solve real-world oil and gas midstream problems using machine learning, data science and artificial intelligence. This individual will provide technical and thought leadership to the team to build out a data engineering practice within the organization. Must Have Skills Python Pandas, Numpy, Pytest, Scikit-Learn SQL Apache Airflow Kubernetes CI/CD Git Test Driven Development (TDD) API development Knowledgeable of Machine Learning Responsibilities Create, test, and maintain data pipeline architectures Work independently on analytic projects for multiple business functions Automate manual data flows for repeated use and scalability Develop data-intensive applications with API's Develop algorithms to transform data into useful, actionable information Operationalize mathematical models and machine learning models Assist data analysts and data scientists with data processing automation and deployment Implement data quality checks to ensure data accuracy and consistency

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

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.

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!

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 *************************

Our client is seeking an experienced Data Engineer (5+ years) to join their Big Data and Advanced Analytics team. In this role, you'll collaborate closely with the Data Science team and various business units to tackle real-world challenges in the oil and gas midstream sector using machine learning, AI, and data-driven solutions. You'll also play a key role in shaping and advancing the organization's data engineering practices. Job Description Design, build, test, and maintain scalable data pipelines Independently handle analytics projects across multiple business functions Automate manual data processes for efficiency and scalability Develop data-intensive applications and APIs Create algorithms that turn raw data into actionable insights Deploy and operationalize machine learning and mathematical models Support data analysts and data scientists by streamlining data processing and model deployment Ensure data accuracy and consistency through quality checks Skills Required 5+ years of professional IT experience, ideally in network security engineering Strong experience with: Python (Pandas, NumPy, Pytest, Scikit-Learn) SQL Apache Airflow Kubernetes CI/CD pipelines Git version control Test-Driven Development (TDD) API development Familiarity with machine learning concepts and applications Education/Certifications High School Diploma or GED GAS Global Services LLC is an Equal Opportunity Employer. Employment Decision are made without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factors protected by applicable federal, state or local laws. JOB-10045560

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

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.

Job Title: DevOps Engineer The DevOps Engineer is responsible for building, automating, and maintaining the infrastructure, tools, and processes that support software development and deployment. This role bridges development and operations teams to improve delivery speed, reliability, scalability, and overall efficiency. The position focuses heavily on automation, CI/CD pipelines, cloud infrastructure, monitoring, and system optimization. Key Responsibilities Design, implement, and maintain CI/CD pipelines to automate build, testing, and deployment processes Manage and optimize cloud infrastructure (AWS, Azure, or Google Cloud) Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible Automate operational tasks, system provisioning, and configuration management Collaborate with development teams to ensure smooth and reliable deployments Monitor application and infrastructure performance, availability, and reliability Maintain container environments (Docker, Kubernetes, ECS, AKS, GKE) Implement logging, alerting, and monitoring solutions (Prometheus, Grafana, ELK, CloudWatch, Azure Monitor) Improve system security by implementing best practices for access control, secrets management, patching, and vulnerability remediation Troubleshoot system and infrastructure issues across development, staging, and production environments Contribute to incident response, root-cause analysis, and continuous improvement initiatives Maintain documentation for systems, processes, and deployment workflows Required Qualifications and Experience 2-5+ years of experience in DevOps, cloud engineering, or related roles Strong experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI, etc.) Solid understanding of Linux systems administration Hands-on experience with cloud platforms (AWS, Azure, or GCP) Proficiency with scripting languages such as Python, Bash, or PowerShell Experience with Terraform, Ansible, or other IaC/configuration management tools Familiarity with Docker and Kubernetes Strong troubleshooting and analytical skills Preferred Qualifications Certifications such as AWS DevOps Engineer, Azure DevOps Engineer Expert, or Kubernetes CKA/CKAD Experience with microservices architectures Knowledge of networking fundamentals and cloud security practices Experience with service mesh technologies (Istio, Linkerd) Understanding of GitOps workflows (Argo CD, Flux) Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred Equivalent hands-on experience will be considered

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.

Job Title: Senior Full-Stack Golang Developer Company: Aarista/ Altea Healthcare IT Job Type: Full-Time Compensation Range: $110,000-$140,000 USD depending on experience Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information We are looking for a Senior Full-Stack Developer and Lead. This person will play a key role on the core development team that is working on supporting and building our next generation suite of products, Revenue Cycle Management system. As a member of our core development team, this person will contribute significantly to designing and implementing various product features. In addition to bringing their experience building using the Microsoft stack, this role will also require learning and implementing solutions using other technologies on an as needed basis. We are an exciting healthcare startup company, so we need someone that is agile since changes are expected. Your Role Support, design and develop RCM software covering the full stack Golang, React (TypeScript), Mongo DB, Azure data bricks and azure data lake Brainstorm with your team to conceptualize and build new features. Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption. Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements. Provide technical leadership including architecture design, coding, code review, practices and skills development. You You thrive in a team environment but can also work independently. You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds. A self-starter that can manage their own workload and an ever-growing task list. A team player and leader. Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business. Very proficient with server-side languages Golang Proficiency with front-end React, Typescript, Javascript Knowledge with Azure data bricks and data lake Workding knowledge of relational databases such as SQL Server, Azure SQL You are passionate about creating innovating and exciting new technology and want to provide end users with the best possible experience. Have experience with Software development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies. Skills Required Experience: Golang React Front End - Typescript and Javascript Mongo DB Azure data Azure data lake Mongo DB Solid web service: RESTful and SOAP Nice to have: MS SQL, Azure SQL (SQL Server) Data modeling, UML and Design Patterns Azure experience Job Types: Full-time Pay: $110,000-$140,000 USD depending on experience Schedule: Full Time

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.

Sagis Diagnostics is an entirely physician-led sub-specialty pathology group supported by a CAP-accredited histology lab located in the heart of Houston, Texas. Led by a team of board-certified pathologists, our lab is at the forefront of diagnostic science. We offer the highest quality services to physicians, physician groups, ambulatory surgery centers, and hospitals. One of our many strengths is we develop strong collaborative relationships with each of our referring physicians by offering accurate, prompt, and clear diagnoses in a personal and customized manner. Senior Backend Software Engineer- Must live in the Greater Houston area or in Texas and open to relocation. Overview We're building the next generation of our technology infrastructure by connecting our diverse systems through robust APIs and custom integrations. As a growing organization with mature data infrastructure, we need a strong backend developer who can architect and build the critical connections between our existing platforms and modern applications, including AI integrations. Position Summary You'll focus on developing sophisticated custom APIs, backend services, and integrations from scratch. While you'll work within the Microsoft ecosystem and leverage low-code tools like Power Apps when appropriate, the core of this role is custom software development and system integration. Key Responsibilities Build robust backend systems using C#/.NET, Python, and Azure services to support business applications and data access across multiple platforms Design and develop REST APIs that connect front-end applications, AI systems, and third-party platforms to our existing data infrastructure, working closely with our data engineering team Architect custom integrations between disparate systems, ensuring secure and reliable data flow between platforms and services Develop automation scripts and tools from scratch to improve data transfers, business processes, and operational efficiency Leverage Microsoft ecosystem tools including Power Apps, Power Automate, Azure Logic Apps, and Copilot Studio for rapid development and business process automation when appropriate Integrate AI tools for development productivity and explore opportunities for AI integration in our applications Collaborate with cross-functional teams including front-end developers, data analysts, and business stakeholders to deliver complete solutions Mentor team members and establish best practices as we grow our development team Drive technical decisions around architecture, tools, and implementation approaches for our technology ecosystem Required Experience & Qualifications 5+ years of backend development experience with strong expertise in C#/.NET, Python, or similar backend languages Proven API development experience building REST APIs, handling authentication, and integrating with databases and third-party services Experience with cloud platforms, preferably Azure, including deployment, monitoring, and scaling of applications 3+ years working with Microsoft technologies, including Azure services (Azure Functions, Logic Apps, Service Bus, etc.) Strong problem-solving skills and ability to work independently on complex technical challenges connecting diverse systems Experience building custom scripts and automation tools from scratch Excellent communication skills for collaborating with technical and non-technical team members Preferred Experience with platform migrations or technology transitions in enterprise environments Familiarity with low-code platforms (Microsoft Power Platform, Zoho Creator, or similar) as supplementary tools Knowledge of DevOps practices and CI/CD pipelines Experience with data integration patterns and working with existing data infrastructure Experience mentoring developers or leading technical initiatives Interest in AI technologies and experience using AI tools to enhance development productivity At Sagis, we offer: Medical, Dental, and Vision Insurance Company-Paid Short-term and Long-term Disability, Basic Life, EAP Voluntary Accident/Critical Illness/Life insurance Fair Wages 401(k) Contribution Vacation Paid Parental Leave Floating Holidays Scheduled Holidays Comfortable work environment Wellness Initiatives Tuition Assistance Job Training/Career Development Great Team Leaders Join our team and help build the backbone of our technology platform, creating the APIs and backend systems that will power our applications and integrations for years to come.

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.

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.