Senior Software Engineer jobs at Freddie Mac - 38 jobs

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you someone who thrives in a highly visible, fast-paced data science environment? Do you have a deep understanding and passion for excellence in technology, especially in supporting data-driven solutions and meeting delivery timelines? If you have proven experience, the drive, and know what it takes to help teams successfully implement innovative, fast-to-market data science products, we are your next destination employer! Apply to join Freddie Mac's Single-Family Acquisitions AI/ML Enablement team. We are seeking a talented software developer or machine learning engineer with expertise in modern delivery practices, distributed data processing, and advanced machine learning frameworks-including generative AI. In this role, you will support data scientists in running machine learning experiments, developing and deploying models, and leveraging generative AI to solve complex business challenges within the Single-Family division. Our Impact: Freddie Mac's Single-Family Line of Business is in the throes of a major digital modernization and transformation. We are changing the way we work every day. Provide efficient software and data-driven solutions for business requirements. Assist data scientists in running machine learning experiments and optimizing their workflow. Help support teams to analyze and resolve business raised incidents, including those related to data and machine learning models. Your Impact: You will be a key executor to the team, as a machine learning engineer, you will be assisting data scientists in their research and development work in building data pipelines, developing and deploying machine learning models, and taking on responsibilities across the entire data and ML stack. You will be contributing across several other technical activities such as data engineering, model development, deployment, MLOps, and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software and data challenges related to R&D work by Single-Family data scientists. Qualifications: · Bachelor's degree in information technology, Computer Science, Engineering, Data Science, or related field, or equivalent combination of education and work experience. Advanced studies/degree preferred. · A minimum of 5-7 years of experience engineering robust machine learning solutions. · 5+ years experience in Machine Learning processes: data preparation, exploratory data analysis, model training and evaluation, linear algebra, statistical concepts, algorithm design, software engineering practices. · Knowledge / hands-on experience with multiple technologies such as: Apache Spark, Ray Project, PyTorch, scikit-learn, NumPy, and pandas. · Strong proficiency in Python and working with the Python ecosystem. · Knowledgeable about various Python package building and distribution methods (e.g., setuptools, pip, conda). · Comfortable working with open-source packages and ability to debug issues with open-source. · Must have strong prior hands-on development experience with distributed data processing (Apache Spark, Ray), deep learning frameworks (PyTorch), and machine learning libraries (scikit-learn). · 2+ years familiar with the use of AI-assisted coding tools, such as Github Copilot, Claude Code, Amazon Q, Cursor, etc. · Must be familiar with high pace agile environment and active participation in agile ceremonies like standups, refinement sessions, retrospectives and reviews is required. · Experience with E2E testing tools and model validation techniques is a huge plus. · 2+ years with data storage solutions such as PostgreSQL, MongoDB, Snowflake, and cloud platforms is highly preferred. · Information and application security including firewall, AD, TAM/PING, LDAP, certificates, public key encryption, SSH, access credentials, etc. · Large-scale data architectures, container orchestration frameworks, and deployment of machine learning models in production. · Proven understanding of developing end-to-end machine learning workflows, including data preparation, model training, hyperparameter evaluation, and model serving. Keys to Success in this Role: · Demonstrate strong interpersonal and communication skills by actively engaging with team members, stakeholders, and cross-functional partners. · Effectively share ideas, technical concepts, and project updates both verbally and in writing, ensuring clarity and understanding. · Embrace open dialogue and transparency to build trust and drive team success. · Ability to work effectively and productively in a team or independently. · Technology-first approach, outstanding analytical skills and drive for new technologies and tools. · Innovative in providing solutions, like to take on challenges with calculated risk - fail fast and learn fast. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Quality Engineer IIOverview: Mastercard is seeking a Software Quality Engineer II to join our rapidly growing Services team. In this role, you will collaborate with experienced engineers to support high-quality product development, contribute to modern data-driven solutions, and help ensure our platforms deliver reliable insights to customers across industries and geographies. The Services next-generation platform blends industry-leading analytics, advanced software architecture, and modern web technologies. Our applications help organizations make multi-million-dollar decisions, and quality is critical to our success. As part of the Insights team, you will apply your testing skills to help validate key features, maintain quality throughout the data pipeline, and contribute to a scalable, high-performance platform. You will work with cutting-edge web technologies and large datasets within a Hadoop ecosystem. This role is ideal for someone who enjoys problem-solving, continuous learning, and collaborating in an agile environment. Engineers at Mastercard work in small, flexible teams where everyone contributes to building, testing, and improving features. We value experimentation, knowledge-sharing, and processes that support team success. This hybrid position is based in Arlington, VA, and requires three onsite days per week. Role: • Support the testing of complex full-stack features that help global clients make data-driven decisions. • Collaborate on testing and release activities within a continuous delivery environment. • Develop, maintain, and enhance automated test cases and frameworks for UI, API, and data validation. • Contribute to ensuring a seamless and intuitive user experience through thoughtful test coverage. • Assist in validating data pipelines responsible for generating millions of analytic results. • Work with new testing tools and technologies, continuously learning and expanding your skills. • Participate in team ceremonies and contribute to process improvements. • Collaborate with cross-functional teams including Product, Customer Experience, and Data Engineering & Analytics. • Support quality best practices and help promote a strong testing culture across the team. • Work with Product Managers and UX Designers to understand user needs and apply those insights to feature testing. • Help ensure timely delivery of new features and data updates that support client needs. All About You: • Hands-on experience as a Software Quality Engineer, Software Engineer in Test, Test Automation Engineer, Developer, or a related role using modern QA tools and processes. • Experience with a variety of testing techniques, including UI testing, API testing, automated testing, and test-driven development along with any modern testing tool (e.g., Cypress, Playwright, Selenium, Postman, RestAssured, or similar). • Strong knowledge of SQL for validating data, debugging issues, and supporting end-to-end testing. • Experience working with .NET applications or familiarity with .NET-based unit testing frameworks, as much of our codebase is written in .NET. • Familiarity with Agile methodologies and common tools such as Git for code management, Jenkins for CI/CD, and pipeline management best practices. • Strong attention to detail, organizational skills, and the ability to follow structured testing approaches. • Ability to contribute to test planning and execution, including manual, automated, unit, and performance testing. • Analytical and problem-solving skills with a desire to understand how systems work end-to-end. • A collaborative mindset and the ability to work effectively with cross-functional teams across geographies. • Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences. • Bachelor degree in Computer Science, Software Engineering, Information Technology, Mathematics, or a related field. Equivalent practical experience may also be considered. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 #AI3Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $106,000 - $169,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Quality Engineer II Overview: Mastercard is seeking a Software Quality Engineer II to join our rapidly growing Services team. In this role, you will collaborate with experienced engineers to support high-quality product development, contribute to modern data-driven solutions, and help ensure our platforms deliver reliable insights to customers across industries and geographies. The Services next-generation platform blends industry-leading analytics, advanced software architecture, and modern web technologies. Our applications help organizations make multi-million-dollar decisions, and quality is critical to our success. As part of the Insights team, you will apply your testing skills to help validate key features, maintain quality throughout the data pipeline, and contribute to a scalable, high-performance platform. You will work with cutting-edge web technologies and large datasets within a Hadoop ecosystem. This role is ideal for someone who enjoys problem-solving, continuous learning, and collaborating in an agile environment. Engineers at Mastercard work in small, flexible teams where everyone contributes to building, testing, and improving features. We value experimentation, knowledge-sharing, and processes that support team success. This hybrid position is based in Arlington, VA, and requires three onsite days per week. Role: * Support the testing of complex full-stack features that help global clients make data-driven decisions. * Collaborate on testing and release activities within a continuous delivery environment. * Develop, maintain, and enhance automated test cases and frameworks for UI, API, and data validation. * Contribute to ensuring a seamless and intuitive user experience through thoughtful test coverage. * Assist in validating data pipelines responsible for generating millions of analytic results. * Work with new testing tools and technologies, continuously learning and expanding your skills. * Participate in team ceremonies and contribute to process improvements. * Collaborate with cross-functional teams including Product, Customer Experience, and Data Engineering & Analytics. * Support quality best practices and help promote a strong testing culture across the team. * Work with Product Managers and UX Designers to understand user needs and apply those insights to feature testing. * Help ensure timely delivery of new features and data updates that support client needs. All About You: * Hands-on experience as a Software Quality Engineer, Software Engineer in Test, Test Automation Engineer, Developer, or a related role using modern QA tools and processes. * Experience with a variety of testing techniques, including UI testing, API testing, automated testing, and test-driven development along with any modern testing tool (e.g., Cypress, Playwright, Selenium, Postman, RestAssured, or similar). * Strong knowledge of SQL for validating data, debugging issues, and supporting end-to-end testing. * Experience working with .NET applications or familiarity with .NET-based unit testing frameworks, as much of our codebase is written in .NET. * Familiarity with Agile methodologies and common tools such as Git for code management, Jenkins for CI/CD, and pipeline management best practices. * Strong attention to detail, organizational skills, and the ability to follow structured testing approaches. * Ability to contribute to test planning and execution, including manual, automated, unit, and performance testing. * Analytical and problem-solving skills with a desire to understand how systems work end-to-end. * A collaborative mindset and the ability to work effectively with cross-functional teams across geographies. * Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences. * Bachelor degree in Computer Science, Software Engineering, Information Technology, Mathematics, or a related field. Equivalent practical experience may also be considered. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 #AI3 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $106,000 - $169,000 USD

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Software Quality Engineer II Overview: Mastercard is seeking a Software Quality Engineer II to join our rapidly growing Services team. In this role, you will collaborate with experienced engineers to support high-quality product development, contribute to modern data-driven solutions, and help ensure our platforms deliver reliable insights to customers across industries and geographies. The Services next-generation platform blends industry-leading analytics, advanced software architecture, and modern web technologies. Our applications help organizations make multi-million-dollar decisions, and quality is critical to our success. As part of the Insights team, you will apply your testing skills to help validate key features, maintain quality throughout the data pipeline, and contribute to a scalable, high-performance platform. You will work with cutting-edge web technologies and large datasets within a Hadoop ecosystem. This role is ideal for someone who enjoys problem-solving, continuous learning, and collaborating in an agile environment. Engineers at Mastercard work in small, flexible teams where everyone contributes to building, testing, and improving features. We value experimentation, knowledge-sharing, and processes that support team success. This hybrid position is based in Arlington, VA, and requires three onsite days per week. Role: - Support the testing of complex full-stack features that help global clients make data-driven decisions. - Collaborate on testing and release activities within a continuous delivery environment. - Develop, maintain, and enhance automated test cases and frameworks for UI, API, and data validation. - Contribute to ensuring a seamless and intuitive user experience through thoughtful test coverage. - Assist in validating data pipelines responsible for generating millions of analytic results. - Work with new testing tools and technologies, continuously learning and expanding your skills. - Participate in team ceremonies and contribute to process improvements. - Collaborate with cross-functional teams including Product, Customer Experience, and Data Engineering & Analytics. - Support quality best practices and help promote a strong testing culture across the team. - Work with Product Managers and UX Designers to understand user needs and apply those insights to feature testing. - Help ensure timely delivery of new features and data updates that support client needs. All About You: - Hands-on experience as a Software Quality Engineer, Software Engineer in Test, Test Automation Engineer, Developer, or a related role using modern QA tools and processes. - Experience with a variety of testing techniques, including UI testing, API testing, automated testing, and test-driven development along with any modern testing tool (e.g., Cypress, Playwright, Selenium, Postman, RestAssured, or similar). - Strong knowledge of SQL for validating data, debugging issues, and supporting end-to-end testing. - Experience working with .NET applications or familiarity with .NET-based unit testing frameworks, as much of our codebase is written in .NET. - Familiarity with Agile methodologies and common tools such as Git for code management, Jenkins for CI/CD, and pipeline management best practices. - Strong attention to detail, organizational skills, and the ability to follow structured testing approaches. - Ability to contribute to test planning and execution, including manual, automated, unit, and performance testing. - Analytical and problem-solving skills with a desire to understand how systems work end-to-end. - A collaborative mindset and the ability to work effectively with cross-functional teams across geographies. - Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences. - Bachelor degree in Computer Science, Software Engineering, Information Technology, Mathematics, or a related field. Equivalent practical experience may also be considered. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. \#LI-NF1 \#AI3 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** Arlington, Virginia: $106,000 - $169,000 USD

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking for development beyond the ordinary? A place full of exciting challenges and the engineers up to solving them? If so, welcome to Financial Engineering. This is the place where the models become software and where many of the numbers that drive our business decisions are produced. Freddie Mac's Investments & Capital Markets Division is currently seeking Financial Software Developer to participate in implementing all of the firm's quantitative models and analytics. Apply and learn why there's #MoreatFreddieMac! Our Impact: The Investments and Capital Markets (I&CM) division is responsible for management of the retained portfolio as well as Freddie Mac's debt funding, liquidity management and interest-rate hedging. The division is also responsible for I&CM securitization. Your Impact: Will combine software development, quantitative analysis, and collaboration skills to help build high-performance, scalable and fault tolerant solutions. Will encourage a creative and analytical mindset Design and develop high-performance financial libraries using C++, Java, and Python. Adhere to best practices in coding, testing, and software architecture to build modular and maintainable code. Implement complex financial models with a focus on accuracy and efficiency. Perform model tie out, regression, and integration testing to ensure software quality. Develop automated testing scripts in Python to adhere to technological development standards. Write and maintain technical documentation and guidelines to facilitate smooth implementation. Troubleshoot and resolve integration issues in a timely manner. Work closely with end-users to understand their needs and enhance library functionality accordingly. Work closely with cross-functional teams to align development efforts with business objectives. Collaborate with application teams to integrate financial libraries into existing systems and workflows. Assist in defining project scope, objectives, and deliverables in collaboration with stakeholders. Provide guidance and support to junior developers, helping them to enhance their technical skills and professional growth. Conduct code reviews and offer constructive feedback to improve code quality and efficiency. Facilitate knowledge sharing sessions and workshops to introduce new technologies and methodologies. Qualifications: BS in Computer Science, Information Systems or other related field or equivalent working experience; advanced degree preferred Typically, 5 - 7 years of Programming experience of developing and testing with C++ and Python Financial knowledge, preferably some fixed Income knowledge, with solid quantitative skills (statistics, econometrics, algebra) Keys to Success in this Role: Hands on with programming and troubleshooting Solid math and analytical skills Interest in growing financial knowledge Collaborative working approach Ability to communicate effective with modelers, analysts, and developers Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $130,000 - $196,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you someone who thrives in a highly visible, fast-paced data science environment? Do you have a deep understanding and passion for excellence in technology, especially in supporting data-driven solutions and meeting delivery timelines? If you have proven experience, the drive, and know what it takes to help teams successfully implement innovative, fast-to-market data science products, we are your next destination employer! Apply to join Freddie Mac's Single-Family Acquisitions AI/ML Enablement team. We are seeking a talented software developer or machine learning engineer with expertise in modern delivery practices, distributed data processing, and advanced machine learning frameworks-including generative AI. In this role, you will support data scientists in running machine learning experiments, developing and deploying models, and leveraging generative AI to solve complex business challenges within the Single-Family division. Our Impact: * Freddie Mac's Single-Family Line of Business is in the throes of a major digital modernization and transformation. We are changing the way we work every day. * Provide efficient software and data-driven solutions for business requirements. * Assist data scientists in running machine learning experiments and optimizing their workflow. * Help support teams to analyze and resolve business raised incidents, including those related to data and machine learning models. Your Impact: You will be a key executor to the team, as a machine learning engineer, you will be assisting data scientists in their research and development work in building data pipelines, developing and deploying machine learning models, and taking on responsibilities across the entire data and ML stack. You will be contributing across several other technical activities such as data engineering, model development, deployment, MLOps, and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software and data challenges related to R&D work by Single-Family data scientists. Qualifications: * Bachelor's degree in information technology, Computer Science, Engineering, Data Science, or related field, or equivalent combination of education and work experience. Advanced studies/degree preferred. * A minimum of 5-7 years of experience engineering robust machine learning solutions. * 5+ years experience in Machine Learning processes: data preparation, exploratory data analysis, model training and evaluation, linear algebra, statistical concepts, algorithm design, software engineering practices. * Knowledge / hands-on experience with multiple technologies such as: Apache Spark, Ray Project, PyTorch, scikit-learn, NumPy, and pandas. * Strong proficiency in Python and working with the Python ecosystem. * Knowledgeable about various Python package building and distribution methods (e.g., setuptools, pip, conda). * Comfortable working with open-source packages and ability to debug issues with open-source. * Must have strong prior hands-on development experience with distributed data processing (Apache Spark, Ray), deep learning frameworks (PyTorch), and machine learning libraries (scikit-learn). * 2+ years familiar with the use of AI-assisted coding tools, such as Github Copilot, Claude Code, Amazon Q, Cursor, etc. * Must be familiar with high pace agile environment and active participation in agile ceremonies like standups, refinement sessions, retrospectives and reviews is required. * Experience with E2E testing tools and model validation techniques is a huge plus. * 2+ years with data storage solutions such as PostgreSQL, MongoDB, Snowflake, and cloud platforms is highly preferred. * Information and application security including firewall, AD, TAM/PING, LDAP, certificates, public key encryption, SSH, access credentials, etc. * Large-scale data architectures, container orchestration frameworks, and deployment of machine learning models in production. * Proven understanding of developing end-to-end machine learning workflows, including data preparation, model training, hyperparameter evaluation, and model serving. Keys to Success in this Role: * Demonstrate strong interpersonal and communication skills by actively engaging with team members, stakeholders, and cross-functional partners. * Effectively share ideas, technical concepts, and project updates both verbally and in writing, ensuring clarity and understanding. * Embrace open dialogue and transparency to build trust and drive team success. * Ability to work effectively and productively in a team or independently. * Technology-first approach, outstanding analytical skills and drive for new technologies and tools. * Innovative in providing solutions, like to take on challenges with calculated risk - fail fast and learn fast. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Job description At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We have a great opportunity for an Software Engineer, Senior to join the Single-Family Shared Services Portal Tech team and work in a fast-paced Modern delivery team. Are you excited to work in a fast-paced Agile environment and enjoy working in a multitude of technologies? If so, join our team of open-minded, highly motivated individuals who are currently working in an interesting mix of cloud-based technologies within Single-Family Business Technology Office (BTO) group. Our Impact: Freddie Mac is an industry leader building the future of technology for the housing/finance industry. Our Modern Delivery team working on Cloud Native applications helps enable and transform Freddie Mac's business. We provide systems and technology that benefit the enterprise, customers, and our business partners. Your Impact: You will be working with the product teams and the product owners through the modernization, driving adoption of modern software engineering and delivery practices (Real Agile, TDD, ATDD, Stateless Design, Microservices, Containerization, etc.), while providing continuous business value to customers Below are the key functions for this role. Technical Leadership Partner with Dev leads to define technical solutions to complex business use cases that align with target state architecture and conform with corporate standard processes. Should be able to apply strong business knowledge and understanding of the business objective when selecting the optimal technical approach. Should be cross-functional team member; codes, writes, performs automated tests. Train, mentor and provide thought leadership to junior and mid-level developers. Development & Execution Work within a product team demonstrating the Scaled Agile Framework (SAFe) Analyze the user stories and come up with design options that align with the technical roadmap and build proof of concepts as needed. Design and develop Micro Services based solutions using Java & Spring Boot frameworks; Mongo DB; Selenium and Cucumber for test automation. Assess opportunities for application & process improvements, optimizations & performance tuning Produce high quality design artifacts that cover all aspects of sound architecture. Develop within a Cloud-based architecture - Amazon Web Services (AWS) - Goldfield. DevOps Adopt the CI/CD process within the team and continue to enable improve it Qualifications Bachelor's/master's degree with Major in Computer Science/Engineering or equivalent. Typically has 5 - 7 years related experience. Minimum of 5-7 years of experience in software development; 5+ years of relevant experience and specialized training or certification in the following technologies: J2EE, Java, Web Development and SQL; Apigee API Management a plus. Experience in Micro-services and Docker Containers Platforms using OpenShift and Kubernetes. Extenvise knowledge on Spring-Boot, Spring Integration Java Technologies. Experience/Knowledge on MongoDB, SQL Server, PostgreSQL Databases. High level of exposure to testing frameworks like Junit & Cucumber & Front-end UI development frameworks like Angular or REACT JS is a MUST. Experience in code delivery pipelines and adept in building Build and Deployment tools using Maven, Gradle, ANSIBLE and Jenkins Experience with REST based Web services Strong SQL skills are highly preferred. Experience in multi-threading is nice to have. Modern Tools: Jenkins, Cucumber/Specflow, Atlassian Suite (Bamboo, Jira, Bitbucket), Git Cloud: AWS Knowledge or experience in Jira, Confluence and Bitbucket. Experience working in Scaled Agile, Modern Delivery experience is a plus. Provide production support - able to collaborate with Business and Technical teams to debug the issue. Significant contributor to the team, whose code follows latest coding practices and Freddie Mac standards. Author, writing the unit, integration tests and functional automation. Challenge ideas and opinions to avoid pitfalls and inefficient solutions. Takes the lead on ensuring that the code is of high quality; constantly challenges ideas and opinions to avoid pitfalls and inefficient solutions. Demonstrates innovation when developing and designing the business logic. Demonstrates a collaboration approach while working with others to build the business logic and backend systems. Keys to Success in this Role: Strong consultation and communication skills. Proactive in identifying existing issues and providing an alternate solution. Curiosity to learn about new trends related to tools and technology. Seek and Embrace Change - Continuously improve work processes rather than accepting status quo. Flexible to work with different teams across organization. Flexible to support weekend works. Takes accountability, sets expectations, and delivers high quality technical solutions within agreed upon level of effort. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you someone who thrives in working in a highly visible, fast paced development environment? Do you have thorough understanding and passion for excellence in technology and making delivery timelines? If you have proven experience, the drive, and know what it takes to help teams successfully implement fast to market products, we are your next destination employer! At Freddie Mac, we are in the process of digital transformation and modernization, and we want you to be a part of it! You will get to show off your skills as a full stack software engineer, and will influence outcomes, guide transformation, and put your stamp on how the team and organization evolves. We need you to use your experience and success in coaching and transforming technical teams to shift to a modern execution model. The journey is wide open with possibilities! Our Impact: Freddie Mac's Multifamily Line of Business is in the throes of a major digital modernization and transformation. We are changing the way we work every day. Your Impact: You will be a key executor to the team, as a Senior Software Engineer (Full Stack), you will be building software functionality and participate actively in the delivery team by taking on development responsibilities for the entire tech stack. You will be contributing across several other technical activities such as design, development, deployment, DevOps and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software challenges. Qualifications: Bachelor's degree in information technology, Computer Science, Engineering or related field or equivalent combination of education and work experience 5+ years of experience developing front end & orchestration layers' technologies: Java Spring Boot, Angular, JavaScript, Typescript, HTML 5, and CSS 3+ years of hands-on experience with Front-end UI development frameworks like Angular is highly preferred. Author, writing the unit, integration tests and functional automation Information and application security including LDAP, certificates, public key encryption, SSH, access credentials, etc. Provide production support - able to collaborate with Business and Technical teams to debug the issue Build automation / CICD pipeline integration tools: Jenkins, Atlassian Suite (Jira, Bitbucket), GIT, Artifactory Experience working with both relational and non-relational databases. Cloud: AWS (EKS, Docker, OpenShift), IICS, Dremio, Snowflake Experience working in Agile, Modern Delivery experience is a plus. Takes the lead on ensuring that the code is of high quality; constantly challenges ideas and opinions to avoid pitfalls and inefficient solutions. Keys to Success in this Role: Ability to work effectively and productively in a team or independently. Technology-first approach, outstanding analytical skills and drive for new technologies and tools Innovative in providing solutions, likes to take on challenges with calculated risk - fail fast and learn fast. Motivated to learn new technologies and identify process improvements and efficiencies. Takes accountability, sets expectations, and delivers high quality technical solutions within agreed upon level of effort Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking for an opportunity to realize the art of possible in an iterative approach to bring to life some of the most intuitive and useful platform features in Workday? We are searching for a creative and talented Workday Senior Developer to join our exciting team. Apply now and learn why there's #MoreAtFreddieMac! Our Impact: The Enterprise Business Technology office supports the Freddie Mac enterprise including Finance, Supply Chain, Treasury Operations, Accounts Receivable and Billing, and HR business areas by designing and implementing technical solution for ERP applications including Workday and PeopleSoft. Your Impact: This position is responsible for delivering new applications, enhancements and supporting Enterprise ERP applications -Workday. This role includes partnering with Freddie Mac Business Owners to plan and execute roadmaps as well as deliver technical projects that align with enterprise architecture, project methodology, and budget. Qualifications: * 5+ years of software development experience in Workday * 5+ years of designing, building, testing, deploying and maintaining Workday with workday integration tools like Workday Studio, EIB, Reporting (standard, advanced, composite, BIRT) * Experience with Workday Extend applications using IntelliJ or App Builder will be a plus * 3+ years of experience in designing, building, testing, implementing, and maintaining Workday orchestration for Integrations(O4I) is preferred * Experience with Accounting Center preferred * At least 4 years of experience working with Workday Financials application * Workday Studio Certification preferred * Financial Industry experience preferred * Bachelor's degree in computer science or related discipline; or equivalent work experience Keys to Success in this Role: * Excellent collaborator and partner * Spirit for innovation and ability to work in the space of "no longer" and "not yet" * Ability to quickly comprehend the functions and capabilities of new technologies * Ability to address complex business and technical issues Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $116,000 - $174,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We will accept applications for this position until 2/16/2026. Position Overview: Want to create technology that matters while building your future and your professional network? If you're getting your degree in Computer Science, Data Analytics or a related technology area and looking to get hands-on, skill-building experience with a leader in the financial technology industry, Freddie Mac's Software Engineering and Data Internship program is for you! At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation! Through this internship, you'll build on the knowledge and skills acquired in your undergraduate education - while getting real-world technology and innovation experience and making lifelong connections. You will work with a dedicated team of data stack developers and analysts who provide design, development, testing and implementation support to the Trading Desks. This role will introduce secondary mortgage market, portfolio management and distressed asset disposition concepts. Our Impact: Freddie Mac's Investments & Capital Markets Business Technology Office works closely with multiple Capital Markets Trading Desks to automate business processes, provide data analysis and dashboard development as well as technical direction to achieve business objectives. Your Impact: Software and Data Stack Development * Participate on project teams to develop innovative, high-quality software solutions in an Agile development environment. * Sit with the business to understand their needs. Based on the specific need, design and build automated solutions or interactive dashboards/report. * Review existing code and reports to provide new features or enhancements. Most of the existing code is SQL, Python, Tableau or Cloud analytics. * Where applicable, propose process enhancements or changes to streamline execution and increase business value. * Help build enhancements within existing applications * Support implementation of software application changes Teamwork and Learning * Learn about the company's business and how the Investments & Captial Markets Business Technology Office delivers business value. * Participate in solving design and implementation challenges. * Work closely with internal and external partners representing various groups across the organization. * Build relationships and learn to connect with customers respectfully in a "partnership" style. Qualifications: * Pursuing a Bachelor's or Master's degree in Computer Science, Data Analytics or a related technology area * Graduating in December 2026 or May 2027 * College-level experience with coding practices and languages (such as Python, SQL) and data visualization tools like Tableau. * Excellent verbal and written communication skills * Passionate about software engineering and learning new technologies Keys to Success in this Role: * Technology-first approach, outstanding analytical skills, and drive for innovation * Willingness to try new things, fail fast and learn fast * Ability to work effectively and productively in a team or independently * Outstanding communication skills, both written and verbal * Strong Microsoft Office skills * Must be a teammate and able to work multi-functionally Interns are paid at a set, non-negotiable hourly rate. The hourly rate for this role is $32/hour. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Non-Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $54,000 - $82,000 . All interns positions are paid at an hourly rate, which can be found in the body of the job description.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We will accept applications for this position until 2/16/2026.Position Overview: Want to create technology that matters while building your future and your professional network? If you're getting your degree in Computer Science, Data Analytics or a related technology area and looking to get hands-on, skill-building experience with a leader in the financial technology industry, Freddie Mac's Software Engineering and Data Internship program is for you! At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation! Through this internship, you'll build on the knowledge and skills acquired in your undergraduate education - while getting real-world technology and innovation experience and making lifelong connections. You will work with a dedicated team of data stack developers and analysts who provide design, development, testing and implementation support to the Trading Desks. This role will introduce secondary mortgage market, portfolio management and distressed asset disposition concepts. Our Impact: Freddie Mac's Investments & Capital Markets Business Technology Office works closely with multiple Capital Markets Trading Desks to automate business processes, provide data analysis and dashboard development as well as technical direction to achieve business objectives. Your Impact: Software and Data Stack Development Participate on project teams to develop innovative, high-quality software solutions in an Agile development environment. Sit with the business to understand their needs. Based on the specific need, design and build automated solutions or interactive dashboards/report. Review existing code and reports to provide new features or enhancements. Most of the existing code is SQL, Python, Tableau or Cloud analytics. Where applicable, propose process enhancements or changes to streamline execution and increase business value. Help build enhancements within existing applications Support implementation of software application changes Teamwork and Learning Learn about the company's business and how the Investments & Captial Markets Business Technology Office delivers business value. Participate in solving design and implementation challenges. Work closely with internal and external partners representing various groups across the organization. Build relationships and learn to connect with customers respectfully in a “partnership” style. Qualifications: Pursuing a Bachelor's or Master's degree in Computer Science, Data Analytics or a related technology area Graduating in December 2026 or May 2027 College-level experience with coding practices and languages (such as Python, SQL) and data visualization tools like Tableau. Excellent verbal and written communication skills Passionate about software engineering and learning new technologies Keys to Success in this Role: Technology-first approach, outstanding analytical skills, and drive for innovation Willingness to try new things, fail fast and learn fast Ability to work effectively and productively in a team or independently Outstanding communication skills, both written and verbal Strong Microsoft Office skills Must be a teammate and able to work multi-functionally Interns are paid at a set, non-negotiable hourly rate. The hourly rate for this role is $32/hour. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Non-Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $54,000 - $82,000 . All interns positions are paid at an hourly rate, which can be found in the body of the job description.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Are you looking for an opportunity work with a variety of technology and make a meaningful contribution to the team? We have an opportunity for someone to join a fast-paced team of hardworking individuals responsible for providing IT development support across various organizations in Freddie Mac. We are looking for a Senior Developer to provide leadership and technical mentorship, collaborate with line manager and various business / technology partners in developing and implementing technical solutions! Our Impact The Single Family Enterprise Business Technology Office (BTO) at Freddie Mac enables business operational excellence through the flexible use of technology. The team supports the needs of the enterprise groups, including the chief administrative office, compliance, enterprise risk management, finance, human resources, diversity and outreach, internal audit and legal. In addition to championing and empowering business partners, Enterprise BTO takes steps to improve efficiency and effectiveness across the organization. Your Impact Act as a lead on projects, assigning tasks, deliver training, mentoring and coaching to team members Provide guidance to the project team on high level design, ensuring that the design/solution is consistent with the approved architecture Participate in technical discussions and provide recommendations or solutions Developing software solutions by studying organizational needs; conferring with users; studying systems flow and work processes; investigating problem areas; following the software development lifecycle. Ensuring that “Best Practices” for development activities (e.g. code reviews, unit testing, etc.) are followed through the project life-cycle Demonstrating ownership of problems, issues, or requests from start to finish and facilitating appropriate handoffs Collaboratively work with all other IT Teams to identify “Win/Win” opportunities and improve efficiency Championing and influencing technology decisions with business partners, IT management and Team members on matters concerning multiple complex projects which requires negotiating while maintaining effective relationships Engaging with Enterprise and Application architects to promote collaboration on the development of solution architecture; Reviewing architecture and ensuring alignment with accepted architectural principles and the strategic roadmap Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering or related field or equivalent experience; advanced studies/degree preferred. 5+years of experience in developing applications using Java/J2EE technologies, preferably in Unix environment. Hands-on experience with Build and Deployment tools such as Jenkins and languages like ANT, Maven, etc. 3+ years of hands on experience with application development, build and deployment using web/application servers such as WebLogic, Tomcat, Apache, etc. 3+ years of demonstrated ability with databases such as UDB, Sybase, SQL Server or Oracle. Good knowledge of database concepts with working knowledge of SQL, Stored Procedures, etc. and solid understanding of database interfacing technologies such as ODBC, JDBC and DBMS native clients Strong Unix knowledge with experience in scripting/programing languages such as Shell, C, C++, Perl, etc. Good technical and analytical skills with the ability to analyze system functionality and resolve issues. Keys to Success in this Role Good interpersonal, relationship building and team working skills Demonstrated ability to communicate effectively with various teams, both business and technical, to achieve goals. Ability to communicate clearly, effectively, persuasively. Motivated to learn new technologies and identify process improvements and efficiencies. Strong verbal and written communication skills. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $116,000 - $174,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Join us as a ServiceNow developer to design, build, and improve workflow solutions. We're looking for motivated professionals to collaborate with clients and teams, deliver innovative results, and work efficiently in a secure, business-focused environment. Our Impact: At Freddie Mac, the ServiceNow Development team drives enterprise IT Service Management and digital transformation. You'll collaborate with experts and business users to deliver strategic, process-driven, and technology-enabled solutions. Joining us means helping shape our IT services and supporting our continued success. Your Impact: As a ServiceNow Developer, you will: Develop and configure ServiceNow modules such as ITSM, ITOM, HR, and GRC to meet business requirements. Build workflows, dashboards, catalog items, and integrations with enterprise systems. Implement automation and performance improvements across ServiceNow capabilities. Collaborate with stakeholders to translate requirements into ServiceNow solutions and manage user stories. Present roadmaps, architecture decisions, and enhancement strategies. Provide training and support to end-users to maximize the platform's value Responsibilities: Maintain and enhance core ServiceNow functionality by adding new capabilities. Develop, test, and deploy updates to ServiceNow in accordance with customer requirements. Configure and customize ServiceNow applications; facilitate deployment of new modules and applications, including UI and workflow configuration. Collaborate closely with ServiceNow System Engineers and fellow developers to create solutions and manage updates or configuration requests. Identify system deficiencies and propose effective solutions. Support the ongoing maintenance and continuous improvement of processes, standards, policies, working methods, and tools. Ensure reliable and reproducible development/production environments using appropriate tools and processes. Maintain consistency in tool configurations across Development, Testing, Integration, and Production environments. Provide ongoing production and end-user support. Document testing procedures and maintenance activities related to system corrections. Research and adopt new technologies and standards as required. Participate in system and development deployment planning, ensuring adherence to software compliance standards. Qualifications: 5-7 years of ServiceNow development and architecture experience 3+ years in a senior architect role. Bachelor's degree in computer science, Information Systems, Engineering, or related field, or equivalent specialized experience. Strong understanding of IT Service Management, ITOM concepts and ITIL framework. Demonstrated ability to design, configure, and implement complex ServiceNow modules and workflows. Strong understanding of ServiceNow platform architecture, scripting, and integration methods (APIs, web services, MID servers). Excellent communication skills for collaboration with technical teams and stakeholders. JavaScript, HTML, AJAX, AngularJS, CSS, SOAP, Rest, Glide Scripting, Flow Designer Preferred Certifications: ServiceNow Certified System Administrator (CSA) ServiceNow Certified Application Developer (CAD) Keys to Success in this Role: Strong analytical and problem-solving skills. Strong engagement, communication and facilitation skills, including presentation and influencing skills. Ability to translate business requirements into technical solutions. Proactive and self-motivated with a strong sense of ownership. Ability to manage multiple priorities and meet deadlines. Desire for continuous learning and improvement. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $107,000 - $161,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Senior Technical Lead, Solutions Architecture is a key team member of the Freddie Mac's Enterprise Risk Business Technology Team within Enterprise Risk Organization. Enterprise Risk Business Technology Team provides technology and data solutions for Financial Risk, Non-Financial Risk, Financial Crimes and Compliance organizations, partnering across the Enterprise Risk to define strategies, roadmaps, objectives, and deliver capabilities that transform the businesses. This role will be responsible for the solution architecture for a sophisticated portfolio, enabling enterprise change through architectural leadership. The Senior Tech Lead will be a key technical leader across product development, engineering, data, and business team, providing strategic leadership and technical mentorship. You will be responsible for architecting robust, scalable, and secure solutions, while playing a critical role in bridging the gap between business requirements and technical execution. You will be a key contributor to a technology strategy and will ensure alignment between programs across the Enterprise Risk, in partnership with business stakeholders, while adhering to overall Freddie Mac Technology principles. This position requires a strong communicator who can translate complex technical issues into easily understood communications that will influence executive audiences with varied technical backgrounds and capabilities. Our Impact: Delivery of Enterprise Risk technology and data solutions for Financial, Non-Financial, Financial Crimes and Compliance organizations that enable operational efficiency and business transformation. Ensuring compliance with regulatory policies and standards through technology solutions. Integration with a common Freddie Mac Enterprise data platform to enable effective risk-related data analytics and reporting. Enablement of the overall Freddie Mac technology vision within Enterprise Risk to drive technology innovation and modernization, including transformation through GenAI. Enabling secure operations and solutions. Your Impact: Lead the design of complex, high-impact technical solutions across multiple systems and teams, contributing to the overall technology vision across Enterprise Risk. Partner with product and business stakeholders to translate business requirements into architectural blueprints and implementation roadmaps. Provide technical leadership and mentorship to engineering teams, ensuring alignment with architecture principles and best practices. Own and evolve architectural standards, patterns, and documentation for long-term scalability and maintainability. Evaluate emerging technologies and make strategic recommendations aligned with business goals. Conduct architectural reviews and provide hands-on support when needed for technical decisions. Drive cross-functional alignment, balancing innovation, speed, and technical debt. Collaborate with Freddie Mac Enterprise Technology, Architecture, Data, and Security organizations to ensure solutions are aligned with enterprise standards and principles. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 10+ years of software engineering experience, including hands-on experience with modern frameworks and technologies (e.g., Kubernetes, Kafka, Angular, Java, Python) 8+ years in a senior architectural or technical leadership role. Deep experience in solution architecture, microservices, APIs, integration patterns, security best practices, micro-front ends, 12 factor, etc. Proven track record of designing and deploying scalable, cloud-native solutions within AWS, Azure, or GCP (AWS is preferred). Strong knowledge of software development lifecycle, CI/CD, DevOps practices, and Agile methodologies. 3+ years of relevant large-scale enterprise transformation experience as relates to architecture preferred. Prior experience in the primary or secondary mortgage industry is desirable, with architecture experience in highly regulated industries (e.g., (finance, healthcare) required. Certifications in cloud architecture (e.g., AWS Solutions Architect Professional, etc.) are preferred Excellent communication, collaboration, and leadership skills. Ability to influence senior stakeholder and translate complex ideas into actionable outcomes. Keys to Success in this Role: Highly motivated and energetic self-starter with solid organizational and time management skills; demonstrable experience operating at high standards of quality and accuracy within a fast-paced changing environment. Superb communication, leadership, and relationship management skills, that enable partnering with and influencing key team members in an open, collaborative environment at all levels of the organization. Technical and Architectural leadership with knowledge of cloud-based solutions and emerging technologies. Excellent verbal and written communication skills and ability to succinctly present and translate complex ideas into actionable outcomes. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $179,000 - $269,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data ArchitectureOverview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution • Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. • Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. • Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). • Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. • Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. • Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration • Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. • Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. • Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. • Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship • Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. • Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. • Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: • Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. • Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. • Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. • Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). • Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. • Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. • Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. • Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Experience mentoring and leading global, cross-functional teams of high-performing technical talent. • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USDBoston, Massachusetts: $230,000 - $368,000 USDMiami, Florida: $200,000 - $320,000 USDPurchase, New York: $230,000 - $368,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution * Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. * Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. * Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). * Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. * Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. * Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration * Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. * Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. * Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. * Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship * Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. * Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. * Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: * Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. * Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. * Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. * Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). * Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. * Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. * Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. * Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. * Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. * Strong executive presence with the ability to translate complex architecture concepts into business language. * Experience mentoring and leading global, cross-functional teams of high-performing technical talent. * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking an Software Engineer, Professional - Gen AI (Data) Scientist with a strong focus on Generative AI (Gen AI) to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Our Impact: At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients. Your Impact: As Software Engineer, Professional - Gen AI (Data) Scientist, your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Automated QA and Python-based microservices will be crucial in creating robust quality-controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross-functional teams, you will drive the implementation of enterprise-grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability. Key Responsibilities: Design and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. Evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives for business use cases Train, Fine-tune, optimize and Test lightweight Large Language Models (LLMs) to address diverse and complex business use cases Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS) Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls Orchestrate multimodal pipelines using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures Qualifications: Bachelor's in data science/computer science with Machine Learning focus, Business Analytics. Advanced studies/degree preferred 2-4 years of experience in Data Science, Computer Science with focus on Machine Learning and Business Analytics At least 2 years in applied Gen AI or LLM-based solutions preferred Experience training and testing Machine/Deep Learning, Natural Language Models Proven experience with AI development on AWS SageMaker, Bedrock, ML Flow on EKS Strong programming skills in Python and ML libraries (Transformers, Lang Chain, etc.) Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks Demonstrated ability to work in cross-functional agile teams Deep expertise in prompt engineering, fine-tuning, RAG, Graph RAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models. Published contributions or patents in AI/ML/LLM domains. Hands-on experience with enterprise AI governance and ethical deployment frameworks. Familiarity with CI/CD practices for ML Ops and scalable inference APIs. Keys to Success in this Role: Deep Gen AI Expertise: Master generative AI technologies, including LLMs and multi-modal AI, to design innovative solutions. Prompt Engineering Proficiency: Excel in crafting effective prompts for optimizing AI model interactions. Analytical Problem-Solving: Apply strong analytical skills to adapt AI models for complex business challenges. Collaborative Teamwork: Communicate effectively with cross-functional teams to integrate AI solutions seamlessly. AWS Cloud Deployment Skills: Utilize AWS platforms like SageMaker for scalable AI application deployment. AI Governance and Ethics: Implement robust validation procedures to ensure ethical and compliant AI solutions. Continuous Learning: Stay adaptable and keep up with the latest AI advancements. Scalable Solution Development: Focus on creating scalable AI agents and workflows for diverse use cases. API Integration: Develop skills in API-based integration for seamless deployment within enterprise systems. Data Management Expertise: Curate and manage enterprise data for robust AI development. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $103,000 - $155,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you someone who thrives in working in a fast-paced development environment? Do you have thorough understanding and passion for delivering software and meeting delivery timelines? If you have experience, drive, and know what it takes to help teams successfully implement fast to market products, we are your next destination employer! Apply to join Freddie Mac's Internal Audit development team. We are looking for strong Software Engineer Professional (Appian + Java) Our Impact: Members on our team are highly skilled developers with a proven track record of supporting audit and risk management teams at Freddie Mac. The team plays a meaningful role by leveraging automation to transform traditional end-user computing use cases into streamlined technology-driven workflows that leverage Appian BPMs platform. Our team collaborates with the Internal Audit stakeholders to develop innovative solutions that allow continuous monitoring, improve decision making, and enable combined assurance. Your Impact: The Software Engineer Professional will be a key member of the Automation team within Freddie Mac's Internal Audit division. This role will collaborate with stakeholders to develop, enhance, and implement automation and workflows for Audit Methodology and Standards. The developer will be responsible for understanding and implementing requirements, ensuring code quality and best practices, and communicating progress and challenges appropriately. Qualifications: Bachelor's degree in information technology, Computer Science, Engineering, or a related field or equivalent education and work experience. Work towards advanced studies/degree preferred 2-4 years of experience implementing workflows and complex solutions leveraging Appian BPM. 2+ years of experience using DevOps (CI/CD) Jenkins, GitHub, Bitbucket, Spinnaker, Cucumber JS unit testing library. 2+ years of experience in database technologies - DB2, Snowflake, Postgres, etc. Strong prior hands-on experience with tools such as Java, Spring boot, APIs, JFrog Artifactory, Bitbucket, and Kubernetes. Basic knowledge of Linux command-line tools, and on-premises Appian set up. Familiar working in an agile environment with cross-functional teams, including technical developers and business stakeholders. Strong writing and communication skills. Detail-driven with respect to documentation and able to communicate effectively with team members and stakeholders. Keys to Success in this Role: Exhibits independent judgment, strong problem solving, and ability to identify gaps in the current requirements. Ability to operate as a self-motivated, proactive, and result-driven problem solver with interpersonal skills. Quick learner of new technologies, tools, and concepts. Maintain positive attitude, be flexible, and always be a team player. Demonstrates effective verbal and written communication skills, including the ability to communicate progress and challenges in a timely manner. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $103,000 - $155,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview The Product Analyst Senior serves as a strategic and technical liaison between business stakeholders and technology teams. This role is responsible for analyzing complex business/product problems and identifying opportunities to solve them through automated systems and innovative solutions. Apply now to learn why there is #MoreatFreddieMac ! Our Impact The Single Family Product and Strategic Delivery Organization at Freddie Mac enables business operational excellence through the flexible use of technology. The team supports the needs of the enterprise groups. In addition to championing and empowering business partners, Enterprise BTO takes steps to improve efficiency and effectiveness across the organization. Your Impact Lead initiatives to resolve complex business and product challenges directly with the business, answering key questions and solving intricate problems through comprehensive data analysis of complex data sets, often using visuals to clarify findings. Translate requirements into detailed user stories and acceptance criteria using Gherkin syntax, collaborating closely with the delivery team and Product Owner to ensure successful execution. Additionally, identify user and customer needs, recommending alternative methods to effectively meet those needs. Also, this involves facilitating knowledge-sharing sessions with subject matter experts and stakeholders, documenting outcomes in various artifacts such as process flows, spreadsheets, and PowerPoint visuals. Furthermore, you will support roadmap creation, business architecture, and change management initiatives to drive ongoing improvement and organizational success Qualifications 5-7 years of related product analysis experience with data focus College Degree or equivalent experience; advanced studies/degree preferred Proven experience with data analysis tools and proficient in SQL to extract and analyze data from databases Strong analytical and problem-solving skills Experience with Agile methodologies and delivering through that lifecycle. Ability to lead small teams through discovery and execution and to work independently on self-initiated assignments Excellent communication and stakeholder management skills Experience using MS Office applications including MS Excel and MS PowerPoint Keys to Success Understanding of the mortgage industry Ability to work with and manipulate large data sets Data engineering and data management skills Systems integration and change management experience Enterprise level experience with business analysis and requirements gathering Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $100,000 - $150,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.