About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Design, build, and optimize large-scale data pipelines for batch and real-time processing Develop and maintain distributed data systems that are highly available, scalable, and resilient Lead initiatives to process, transform, and manage structured and unstructured data across platforms Drive development of data platforms and data products that support analytics, reporting, and machine learning use cases Partner with product, analytics, and business teams to translate requirements into scalable data solutions Architect solutions using big data technologies such as Hadoop, Spark, and distributed data processing framework Build and optimize ETL/ELT pipelines and ensure high data quality, reliability, and performance Implement automation, monitoring, and observability for data pipelines across the data lifecycle Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies Influence and drive best practices in data engineering, including data modeling, pipeline design, and governance Mentor engineers and foster a culture of continuous learning and accountability. Essential Functions: Collaborate with stakeholders to understand data requirements and deliver impactful solutions Architect and implement secure, robust, and scalable data platforms Drive innovation through experimentation, prototyping, and rapid iteration Ensure strong data governance, quality, and operational excellence Engage with cross-functional teams to align on technical and business outcomes This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Experience in Docker, Kubernetes for containerization • Proficiency in creating and managing large-scale data pipelines and machine learning models. • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. • Familiarity with Agile development, TDD, CI/CD, and various databases. • Proven track record of building reliable, scalable, and operable applications. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring and helping juniors grow professionally. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,200.00 to $ 219,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Design, build, and optimize large-scale data pipelines for batch and real-time processing Develop and maintain distributed data systems that are highly available, scalable, and resilient Lead initiatives to process, transform, and manage structured and unstructured data across platforms Drive development of data platforms and data products that support analytics, reporting, and machine learning use cases Partner with product, analytics, and business teams to translate requirements into scalable data solutions Architect solutions using big data technologies such as Hadoop, Spark, and distributed data processing framework Build and optimize ETL/ELT pipelines and ensure high data quality, reliability, and performance Implement automation, monitoring, and observability for data pipelines across the data lifecycle Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies Influence and drive best practices in data engineering, including data modeling, pipeline design, and governance Mentor engineers and foster a culture of continuous learning and accountability. Essential Functions: Collaborate with stakeholders to understand data requirements and deliver impactful solutions Architect and implement secure, robust, and scalable data platforms Drive innovation through experimentation, prototyping, and rapid iteration Ensure strong data governance, quality, and operational excellence Engage with cross-functional teams to align on technical and business outcomes This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Experience in Docker, Kubernetes for containerization • Proficiency in creating and managing large-scale data pipelines and machine learning models. • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. • Familiarity with Agile development, TDD, CI/CD, and various databases. • Proven track record of building reliable, scalable, and operable applications. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring and helping juniors grow professionally. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,200.00 to $ 219,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.