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Python Data Engineer Jobs

MSCI

Norman Regional Health System

Onsite

Your Team Responsibilities We are seeking a highly skilled and motivated DevOps Developer to join our technology team and contribute to this next generation solution. As a member of the Development team, you will build high performance and scalable services primarily using various technologies. These services will provide an efficient and comprehensive gateway into our Indices group. You will work within a local and global team of highly skilled Software Engineers, Test Engineers, and Product Managers. Additionally, you will have significant interaction with the Developers and Testers working on our teams all over the world.Candidates for this position should be passionate about building high quality software and contributing to architecture design discussions. You will have strong analytical skills and a desire to go deep with knowledge and understanding of topics on technologies and financial area and motivated to work in a high-performance team. Your Key Ressponsibilities <ul><li>Build the future MSCI Analytics Data platform</li><li>Collaborate with Product Management, Program Management and other internal stakeholders to convert business requirements into applications, tools, and deliver these as part of a product release roadmap.</li><li>Improve and create a modern and sophisticated platform using latest technologies and following industry best practices.</li><li>Collaborate with engineering teams across data and technology in implementing AI solutions and integrating services with MSCI’s data science products and platforms.</li><li>Evaluate different Architectural & Design approaches, solutions, frameworks & technologies and recommend the most suitable one.</li><li>Develop best practices for architecture, design, coding & automated test coverage.</li><li>Architect, Design and develop secure, high performance, scalable & maintainable applications using appropriate architectural patterns & latest Python and Oracle technologies.</li><li>Collaborate with Enterprise Architecture team to develop & use common Architectural principles.</li><li>Develop, document, and deploy reliable and scalable systems to automate the operation and management of our market data system and terms & condition database.</li></ul>Ensure optimal availability, latency, scalability, and efficiency of real-time application development by advocating engineering reliability into the development life cycle with a focus on fault tolerant approaches. Your skills and experience that will help you excel <ul><li>Academic knowledge or working experience in data modeling, designing data pipelines using different data processing technologies (ex. Spark). Experience in importing, parsing, and cleansing data and in performance tuning.</li><li>Academic knowledge or working experience with one or more of the following languages: Python, Linux scripting resolving various kinds of data processing problems with XML, JSON and parquet file formats.</li><li>Knowledge of modern test frameworks for test case generation for unit and integration tests.</li><li>Knowledge of C++/Java/Scala is a plus.</li><li>Knowledge or working experience with relational databases, such as: Oracle/Sybase/MSSQL/MySQL</li><li>Knowledge or working experience with GIT repository management.</li><li>Knowledge or working experience in data engineering practices preferable, in the Cloud is a plus, such as Data Factory, DataLake, DeltaLake, DremIO</li><li>Knowledge or working experience in modern DevOps methods and containerization technologies preferable, including Docker and Kubernetes.</li><li>Working experience with automated scheduling such as AutoSys or Control-M is plus</li><li>Ability to troubleshoot complex data and process issues independently and being able to think out of box for a creative solution.</li><li>A cooperative team player with high level of critical thinking who can handle tight development deadlines.</li><li>Experience in working with Agile Scrum team is a plus.</li></ul> About MSCI  What we offer you<ul><li>Salary range: $73,000 - $95,000 /year plus eligible for annual bonus.</li><li>Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.</li></ul><ul><li>Flexible working arrangements, advanced technology, and collaborative workspaces.</li></ul><ul><li>A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.</li></ul><ul><li>A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.</li></ul><ul><li>Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.</li></ul><ul><li>Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.</li></ul><ul><li>We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.</li></ul>At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agenciesMSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scamsWe are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Data Technology DMX Liquidity Data Engineer

Data Engineer

Data engineering experience with data pipelines, processing, and performance tuning; Python and scripting; databases; DevOps and containerization; Agile experience.

MSCI Inc.

Your Team Responsibilities:
We are seeking a highly skilled and motivated DevOps Developer to join our technology team and contribute to this next generation solution. As a member of the Development team, you will build high performance and scalable services primarily using various technologies. These services will provide an efficient and comprehensive gateway into our Indices group. You will work within a local and global team of highly skilled Software Engineers, Test Engineers, and Product Managers. Additionally, you will have significant interaction with the Developers and Testers working on our teams all over the world.Candidates for this position should be passionate about building high quality software and contributing to architecture design discussions. You will have strong analytical skills and a desire to go deep with knowledge and understanding of topics on technologies and financial area and motivated to work in a high-performance team.

Your Key Ressponsibilities:
<ul><li>Build the future MSCI Analytics Data platform</li><li>Collaborate with Product Management, Program Management and other internal stakeholders to convert business requirements into applications, tools, and deliver these as part of a product release roadmap.</li><li>Improve and create a modern and sophisticated platform using latest technologies and following industry best practices.</li><li>Collaborate with engineering teams across data and technology in implementing AI solutions and integrating services with MSCI’s data science products and platforms.</li><li>Evaluate different Architectural & Design approaches, solutions, frameworks & technologies and recommend the most suitable one.</li><li>Develop best practices for architecture, design, coding & automated test coverage.</li><li>Architect, Design and develop secure, high performance, scalable & maintainable applications using appropriate architectural patterns & latest Python and Oracle technologies.</li><li>Collaborate with Enterprise Architecture team to develop & use common Architectural principles.</li><li>Develop, document, and deploy reliable and scalable systems to automate the operation and management of our market data system and terms & condition database.</li></ul>Ensure optimal availability, latency, scalability, and efficiency of real-time application development by advocating engineering reliability into the development life cycle with a focus on fault tolerant approaches.

Your skills and experience that will help you excel:
<ul><li>Academic knowledge or working experience in data modeling, designing data pipelines using different data processing technologies (ex. Spark). Experience in importing, parsing, and cleansing data and in performance tuning.</li><li>Academic knowledge or working experience with one or more of the following languages: Python, Linux scripting resolving various kinds of data processing problems with XML, JSON and parquet file formats.</li><li>Knowledge of modern test frameworks for test case generation for unit and integration tests.</li><li>Knowledge of C++/Java/Scala is a plus.</li><li>Knowledge or working experience with relational databases, such as: Oracle/Sybase/MSSQL/MySQL</li><li>Knowledge or working experience with GIT repository management.</li><li>Knowledge or working experience in data engineering practices preferable, in the Cloud is a plus, such as Data Factory, DataLake, DeltaLake, DremIO</li><li>Knowledge or working experience in modern DevOps methods and containerization technologies preferable, including Docker and Kubernetes.</li><li>Working experience with automated scheduling such as AutoSys or Control-M is plus</li><li>Ability to troubleshoot complex data and process issues independently and being able to think out of box for a creative solution.</li><li>A cooperative team player with high level of critical thinking who can handle tight development deadlines.</li><li>Experience in working with Agile Scrum team is a plus.</li></ul>

About MSCI:
 What we offer you<ul><li>Salary range: $73,000 - $95,000 /year plus eligible for annual bonus.</li><li>Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.</li></ul><ul><li>Flexible working arrangements, advanced technology, and collaborative workspaces.</li></ul><ul><li>A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.</li></ul><ul><li>A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.</li></ul><ul><li>Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.</li></ul><ul><li>Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.</li></ul><ul><li>We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.</li></ul>At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agenciesMSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scamsWe are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

DevOps/Data engineering focus with Python, SQL/Oracle, data pipelines, cloud and containerization; strong collaboration and problem-solving skills.

Job Summary The AI & Automation Architect is responsible for designing the end-to-end technical strategy for the organization's intelligent automation initiatives. This role involves selecting the right mix of technologies (RPA, Generative AI, Machine Learning, IDP) to solve complex business problems. The Architect ensures that solutions are scalable, secure, and cost-effective, moving beyond simple task automation to full-scale process transformation. <ul><li>Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)</li><li>Evaluate and select appropriate platforms and tools based on cost, security, and fit</li><li>Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections</li><li>Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency</li><li>Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)</li><li>Oversee the infrastructure sizing to support bots and high-volume AI inference requests</li><li>Collaborate with business analysts to determine if a process should be automated and how</li><li>Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout</li><li>Design the "Control Room" strategy for monitoring bot health, AI model drift, and license utilization</li><li>Disaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages  </li></ul>Typical Duties:<ul><li>Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at all</li></ul><ul><li>Drafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be called</li><li>Researching and testing new AI tools to see if they fit the health systems tech stack better than current tools</li><li>Designing and documenting the REST/SOAP API integrations between the automation platform and third-party apps</li><li>Calculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)</li><li>Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the code</li><li>Building and maintaining a library of "snippets" that all developers must use to save time</li><li>Monitors bot health to ensure critical automations ran successfully overnight</li><li>Troubleshoot complex failures that regular support teams cannot fix</li><li>Planning and executing upgrades for the automation platform without breaking existing bots</li><li>Facilitating whiteboard sessions with non-technical departments to uncover their pain points</li><li>Prompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.</li><li>Experience with OCR and data extraction tools.</li><li>Python, C#/.NET</li><li>PowerShell or Bash for infrastructure tasks.</li><li>Ability to design solutions that can handle spikes in volume.</li><li>Knowledge of load balancing and concurrent processing.</li><li>Understanding of RBAC (Role-Based Access Control).</li><li>Secure credential management.</li><li>Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.</li><li>Setting up pipelines to automate the testing and deployment of bots.</li><li>Version control (Git) strategies for automation teams.</li></ul> Qualifications Education<ul><li>Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.</li></ul>Licensure/Certification<ul><li>Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect</li></ul>(Above requirements can be met by equivalent combination of education and experience) Experience<ul><li>7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate</li><li>Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential</li><li>Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required</li><li>Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role</li></ul> Work Shift Day

AI/Automation Architect

Bachelor’s degree in Computer Science, Data Science, or related engineering discipline or equivalent experience; 7+ years IT, 4+ years in scalable RPA/automation; advanced automation platform certifications preferred; strong AI/ML and API integration experience.

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