Data Engineer jobs at Navy Federal Credit Union - 4000 jobs

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.**About the Team:** Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team.This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.**Our Distinguished Engineers Are:*** Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices* Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates* Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community* Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities**Responsibilities:*** Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in* Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team* Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible* Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization* Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner* Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent**Basic Qualifications:*** Bachelor's Degree* At least 7 years of experience in data engineering* At least 3 years of experience in data architecture* At least 2 years of experience building applications in AWS**Preferred Qualifications:*** Masters' Degree* 9+ years of experience in data engineering* 3+ years of data modeling experience* 2+ years of experience with ontology standards for defining a domain* 2+ years of experience using Python, SQL or Scala* 1+ year of experience deploying machine learning models* 3+ years of experience implementing big data processing solutions on AWS***Capital One will consider sponsoring a new qualified applicant for employment authorization for this position***Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

A financial services company in San Francisco seeks a Distinguished Data Engineer to lead innovation in data architecture and management. The role involves building critical data solutions, mentoring teams, and leveraging cloud technologies like AWS. Ideal candidates will have significant experience in data engineering, a Bachelor's degree, and proficiency in modern data practices to drive customer value through analytics and automation. #J-18808-Ljbffr

A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment. #J-18808-Ljbffr

A leading financial services company in McLean, Virginia, is seeking an experienced data analyst to develop machine learning models and partner with cross-functional teams. The ideal candidate has a Bachelor's Degree in a quantitative field and at least 5 years of relevant experience, with strong proficiency in Python, SQL, and AWS. Responsibilities include leveraging technology to derive insights from data and staying current with industry advancements. This role offers a comprehensive benefits package and a supportive work environment. #J-18808-Ljbffr

A leading financial services company seeks a Data Scientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered. #J-18808-Ljbffr

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Austin, TX to: Design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development. Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations. Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa's data scientists. Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed. Execute data engineering projects ranging from small to large either individually or as part of a project team. Ensure project delivery within timelines and budget requirements. Effectively communicate status, issues, and risks in a precise and timely manner. Position reports to the Austin, Texas office and may allow for partial telecommuting. Qualifications Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Data Analytics or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a data engineer-related occupation. Alternatively, a Master's degree in Computer Science, Engineering, Data Analytics or related field and 2 years of experience in the job offered or in a data engineer-related occupation. Experience must include: Creating data driven business solutions and solving data problems using the following technologies: Hadoop, Spark, NoSQL and SQL. Building ETL/ELT data pipelines, data quality checks and data anomaly detection systems. Building large scale data processing systems of high availability, low latency, & strong data consistency. Programming using SQL or Python. Agile development incorporating continuous integration and continuous delivery. Additional Information Worksite: Austin, TX This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $163,550.00 USD to $210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Foster City, CA to Assemble large, complex data sets that meet functional / non-functional business requirements. Create and tune complex SQL for views across federated sources including Hadoop, DB2 and Oracle. Collaborate with product management / product owners on defining user experience, demos and training. Collaborate with BI report developers on design for optimal performance. Assist on data analytics projects involving data modeling and architecture. Assist on building integration with other data / metadata tools in the architecture. Assist on some database administration tasks for the data virtualization platform. Use business requirements to document clear and concise technical designs. Maintain design and naming standards. Contribute to project planning discussions, provide status updates for development progress and be a critical resource for issue resolution. Position reports to the Foster City, California office and may allow for partial telecommuting. Qualifications Basic Qualifications: Employer will accept a Master's degree in Computer Science or related field and 2 years of experience in the job offered or in a Data Engineer - related occupation. Experience can be gained through academic coursework and/or work experience. Position requires experience in the following: Object oriented programming in Java, Golang, Python or similar; Procedural programming in Shell, C or similar; Understanding of network protocol such as TCP/IP, ICMP, PRP, HSR, LLDP, and CIP; Distributed systems; Cloud Infrastructure; Continuous integration and continuous delivery experience; and Relational and nonrelational databases. Spark-Scala, Kafka, Hadoop Angular 11, TensorFlow, Scikit-learn Splunk, Swagger Tableau, Google Analytics GenAI (LLM, NLP, Prompt Engineering) MySQL, MongoDB Additional Information Worksite: Foster City, CA This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $146,200.00 to $233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Lead projects involving the full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services. Spearhead the development of next-generation software incorporating machine learning and deep learning technologies. Ensure services are highly available, secure, scalable, and resilient. Drive innovation to differentiate our products and accelerate time-to-market delivery. Utilize containerization technologies such as Docker and Kubernetes, and expertise in Java, Spring Boot, React, and both relational and non-relational databases. Apply your data engineering skills with Hadoop, Spark, and Scala. Represent the team in various technical forums and build deep partnerships with product management. Analyze business requirements to architect highly secure, robust, and scalable solutions. Lead internal proof of concept initiatives and quickly design and implement prototypes. Champion efforts to design and implement components of our global transaction processing systems. Follow and create software best practices and processes. Mentor team members and create an atmosphere of mutual accountability. Play a key role in meetings and discussions with cross-functional and non-technical teams. Essential Functions: Collaborate with customers to understand their requirements and build solutions that deliver real value. Architect, design, and implement secure, robust, and scalable solutions. Drive proof of concept initiatives and lead implementation. Mentor team members and foster a culture of mutual accountability. Engage in meetings and discussions with cross-functional teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. Expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes). Proficiency in creating and managing large-scale data pipelines and machine learning models. Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. Strong experience with UI technologies (Redux, React.js, HTML5, CSS4, jQuery/JavaScript). Familiarity with Agile development, TDD, CI/CD, and various databases. Proven track record of building reliable, scalable, and operable applications. Ability to manage component security analysis and collaborate with security teams. Strong work ethic, focus on immediate goals, and proven experience as a technical leader. Passion for mentoring and helping juniors grow professionally. Excellent communication and interpersonal skills, and a strong team player. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 146,200.00 to 211,850.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

The Senior Data Engineer is a senior technical role in supporting the information management architecture of the Enterprise Data Warehouse solution. The role will be actively responsible for designing the data acquisition, data staging, loading, and transformation into the Enterprise Data Warehouse. This role will be a technical expert and resource collaborating with the Data Architect, Software Engineers, Product Owners, and Project Team to develop and deliver data storage and movement solutions and to organize and oversee the loading of data into the related systems. Additionally, the Senior Data Engineer will bridge gaps related to Business Intelligence functions, supporting the analytics produced by the organization, and providing expertise tying data movement together with data consumption. Position Accountabilities: Design and develop complex ETL solutions using data warehouse design best practices Analyze data requirements, data models, and determine the best methods in extracting, transforming and loading the data into the data staging, warehouse and other system integration projects Create complex business intelligence reports and data visualizations using tools like Python, Tableau, and PowerBI Analyze business requirements and outline solutions Validate code against business and architectural requirements Create and test prototypes Troubleshoot applications and resolve defects Work within an agile framework Plan, Prioritize and Deliver Resilient, Scalable technical solutions Communicate ideas in both technical and user friendly language Update and maintain product documentation Escalate issues and impediments in a timely manner Work within established framework and processes (Agile) Collaboratively work with Agile teams, as well as independently Perform and coordinate unit and system integration testing when required Participate in peer programming, mobbing, hackathons, and code reviews as required Support and occasionally lead business intelligence efforts, data analytics efforts, and data governance/quality efforts Position Qualifications Education & Experience A Bachelor's Degree or a combination of equivalent work experience 7+ years of previous experience in information technology, preferably within the financial services or other highly-regulated industry 5+ years ETL development experience 3+ years of Business Intelligence, Data Analytics, or Data Science experience 3+ years of experience in an Agile environment Knowledge of ETL and data warehouse design Experience using Python for data movement/manipulation Extensive experience with data dictionaries, data analysis and relational databases Experience with a business intelligence toolset Preferred Qualifications A Master's Degree in a technology area of study; preferably in Computer Science, MIS or Analytics. Knowledge & Skills Creative problem solver with excellent communication, leadership and collaboration skills. Advanced decision making and problem solving skills Business acumen, knowledge and professionalism Proactive leadership style and a self-starter and strong attention to detail A clear and familiar understanding of the concepts and best practices of data warehouse ETL design Demonstrable expertise with RDBMS or Big Data technology Foundational Database administration skills; Broad DW skills including Semantic Layer, Basic BI Development and basic data modeling & data analysis Methodical and structured approach to design and development. Delivery focused with the ability to prioritize activities. Flexible team player within a small, multi-disciplinary team. Organizational Relationship This position reports to the Manager - Software Engineering Salary offered will be based on several factors including but not limited to education, work experience, certifications, etc. This position is also eligible to participate in either an applicable incentive compensation plan for the position or a discretionary profit sharing bonus program. General information on our comprehensive benefits package can be found by visiting about/careers/benefits. We are proud to be an Equal Employment Opportunity employer. We maintain a drug-free workplace. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for a versatile, curious, and energetic Data Engineer who embrace solving complex challenges on a global scale. As a Visa Data Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa's internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Create and maintain optimal data pipeline architecture for validating and certifying payment workflows Assemble large, complex data sets that meet functional / non-functional business requirements Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Qualifications Basic Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, graduating May 2025 - August 2026. Preferred Qualifications Experience with programming languages such as Python, Java, Scala, C++, Rust, Golang, Basic knowledge of Distributed Systems, and Data Structures Knowledge or experiencewith Big Data and the Cloud platform services: Apache Hadoop, Apache Spark. Passion for exploring emerging data engineering technologies and GenAI, including modern data pipelines, distributed processing (e.g., Spark), cloud platforms, containerization, and AI-driven tools. Basic Knowledge in ETL, Data Pipelines using Python, Shell Scripts, Apache Airflow, and Apache Kafka; Building & Populating Data Warehouses, and Querying with BI tools. Basic Knowledge in RDBMS fundamentals: Design & Creation of Databases, Schemas, Tables; DB Administration, Security & working with MySQL & IBM Db2. Basic Knowledge in SQL query language, database functions, stored procs, working with multiple tables, joins, & transactions. Basic Knowledge in NoSQL & Big Data concepts: MongoDB, Cassandra Knowledge of best practices and IT operations in an always-up, always-available service Experience with or knowledge of Agile Software Development methodologies The ability to take on challenges and address problems head-on Strong ability to collaborate Highly driven, resourceful and results oriented Good team player and excellent interpersonal skills Good analytical and problem-solving skills Demonstrated ability to lead and navigate through ambiguity. Additional Information U.S. APPLICANTS ONLY:The estimated salary for a new hire into this position is $120,000 USD which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Authorization:Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered. Work Hours:Varies upon the needs of the department. This is a hybrid position:Expectation of days in office will be confirmed by your hiring manager. Travel Requirements:This position requires travel5-10% of the time. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

A leading financial services company is seeking a Distinguished Data Engineer to join their Credit Card Technology Data Engineering Team in San Francisco, California. This role is essential for managing a vast array of data critical to fraud detection and compliance. Ideal candidates will possess extensive experience in data engineering and architecture, with proficiency in AWS and programming languages such as Python and SQL. The position requires innovative thinking to advance technology solutions that enhance customer experiences. #J-18808-Ljbffr

COMPANY PROFILE: AgTexas Farm Credit Services serves and supports approximately 2,600 member/borrowers in areas of lending, insurance sales, appraisal, and/or leasing. Eleven office locations can be found throughout the Association's 43-county trade territory, and the association has an average loan volume of approximately $2.85 billion, with total assets equaling $3.2 billion. lending portfolio consists of cotton, livestock, dairy, feed grains, real estate, and ag-related business loans. Additionally, the association territory provides diversity in production and mortgage loans as well as commodities financed. Without strong financial backing farmers and ranchers will not survive, and people will not have food to eat or clothes to wear. AgTexas provides reliable credit and crop insurance to our member-owners, so they can feed and clothe the world. POSITION: The Data Engineer I position has a location and salary that is negotiable depending upon experience. Supports the design, development, and maintenance of data pipelines and data infrastructure to ensure reliable data access and analytics across the Association. Contributes to workflow automation, collects, cleans, and integrates data from multiple sources while building and supporting automation platforms. *AgTexas, at its sole discretion, may offer this position with a different title based upon the qualifications of the candidate. MINIMUM EDUCATION AND EXPERIENCE: Bachelor's degree in computer science, information systems, data science, related field or equivalent, practical experience. Possesses a strong proficiency in SQL and a solid understanding of relational database concepts, enabling effective data querying and management. Familiarity with one or more programming languages such as Python, PowerShell (PS), or Java is essential for scripting and automation tasks. Exposure to cloud data platforms, including Azure or AWS, is preferred, as is a working knowledge of ETL processes and data pipeline development. Experience or familiarity with data modeling, data warehousing concepts, or business intelligence (BI) tools is preferred. KEY REQUIREMENTS: The ideal candidate has a solid technical foundation, strong problem-solving skills, and the ability to contribute beyond traditional data engineering duties by supporting both data-driven and process automation initiatives. Strong problem - solving and analytical skills, with the ability to break down complex issues and develop effective solutions. Ability to convey technical concepts clearly to non-technical stakeholders. Proactive in the application of new tools and technologies. Strong interpersonal and excellent oral and written communications skills are required. KEY RESPONSIBILITES: Design, build, and maintain data pipelines and integrations to ensure reliable access to data across systems. Support database design, modeling, and optimization efforts. Support and enhance workflow automation solutions using platforms such as Nintex and Microsoft Power Platform (Power Automate, Power Apps, Power BI). Assist in managing cloud-based data platforms (e.g., Azure, AWS, etc.). Collaborate with analysts and business teams to ensure data availability for reporting and analytics. Implement data quality checks, validation processes, and documentation for all data flows. Develop and optimize SQL queries, scripts, API management, and automation processes. Monitor, troubleshoot, and resolve issues related to data pipelines, workflows, and system integrations. Contribute to continuous improvement initiatives that leverage both data engineering and workflow automation. WORKING RELATIONSHIPS: Frequent interaction with Association departmental staff and management. Occasional interaction with Association senior management, CEO, and/or board of directors. Occasional interaction with Farm Credit Bank of Texas staff. EOE/AA/M/F/D/V AgTexas FCS is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, national origin, protected veteran status, sexual orientation, gender identity or genetic information. Persons with disabilities who require an accommodation to complete the application process should call our Lubbock office at and ask to speak to one of our HR representatives to request accommodation in the application process.

A leading financial institution is seeking a Director in Enterprise Data Risk Management in McLean, VA. You will leverage your risk management and data expertise in providing oversight and advisory services across the enterprise. This individual contributor role involves collaborating with various stakeholders to enhance data risk identification and mitigation processes. You are expected to have at least 7 years in data governance and 5 years in risk management. The salary range for this position is $206,000 to $235,100, alongside performance-based incentives and comprehensive benefits. #J-18808-Ljbffr