Data Engineer jobs at Cisco

The application window is expected to close on: 12/25/25 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Join the Cisco IT Data team, where innovation, automation, and reliability drive world-class business outcomes. Our team delivers scalable, secure, and high-performance platforms supporting Cisco's global data operations. We value a culture of continuous improvement, collaboration, and technical excellence, empowering team members to experiment and drive operational transformation. Your Impact As a Data Operations (DevOps) Engineer, you will play a meaningful role in building, automating, and optimizing the infrastructure and processes that support the Corporate Functions - Enterprise Data Warehouse. Your expertise will ensure the reliability, scalability, and security of data platforms and pipelines across cloud and on-premise environments. You'll collaborate closely with data engineers, software engineers, architects, and business partners to create robust solutions that accelerate data-driven decision-making at Cisco. Key Responsibilities * Automate deployment, monitoring, and management of data platforms and pipelines using industry-standard DevOps tools and standard processes. * Design, implement, and maintain CI/CD pipelines for ETL, analytics, and data applications (e.g., Informatica, DBT, Airflow, Python, Java). * Ensure high availability, performance, and security of data systems in cloud (Snowflake, Google BigQuery, AWS/GCP/Azure) and hybrid environments. * Lead infrastructure as code (Terraform, CloudFormation, or similar) to provision and scale resources efficiently. * Implement observability and data quality monitoring using modern tools (e.g., Monte Carlo, Prometheus, Grafana, ELK). * Solve and resolve issues in production data & workflows, collaborating with engineering and analytics teams for root cause analysis and solution delivery. * Drive automation and process improvement for data operations, system upgrades, patching, and access management. * Contribute to security and compliance initiatives related to data governance, access controls, and audit readiness. * Mentor and support junior engineers, encouraging a culture of knowledge sharing and operational excellence. Minimum Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 5-8 years of experience in DevOps, Data Operations, or related IT engineering roles. *5-8 years of experience Proficiency with cloud platforms (Snowflake, AWS) and Working knowledge of ETL and workflow orchestration tools (Informatica, DBT, Airflow). *5-8 years of experience Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.), scripting (Python, Shell), and configuration management. * Working knowledge of ETL and workflow orchestration tools (Informatica, DBT, Airflow). * Familiarity with infrastructure as code (Terraform, CloudFormation, etc.). * 5+ years of experience with monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK, Monte Carlo, etc.). *5-8 years of experience with containerization and orchestration (Docker, Kubernetes). * 5+ years of experience with Strong troubleshooting, incident management, and problem-solving skills. * Experience working in Agile/Scrum teams and delivering in fast-paced environments. Preferred Qualifications * Experience supporting data warehouse or analytics platforms in enterprise settings. * Knowledge of data quality, security, and governance frameworks. * Familiarity with automation tools and standard methodologies for operational efficiency. * Understanding of data pipelines, modeling, and analytics. * Excellent communication, collaboration, and documentation skills. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We're looking for an experienced software engineer specializing in data engineering to join our growing team focused on building, supporting and enhancing the OCI Data Center telemetry big data and analytics platform. This platform is at the heart of driving hardware quality, reliability, and efficiency as well as providing operational insights for impact and root cause analysis. We're strongly focused on supporting the high scale use cases of Oracle Cloud Infrastructure (OCI). We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools. The Data Engineer will get to work with data at scale. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time. This enables us to provide measurement & alerting on key hardware quality KPI trends, as well as using machine learning to predict hardware failures before they happen and improve the OCI service offerings and customer experience. We are looking for engineers who are creative, passionate about data and its application in building solutions, and are excited to work at scale to solve customer problems. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 A day in the life… Support the development and evolution of our Data Platform. Understand, leverage and apply engineering best practices effectively. Lead by example and improve our coding standards and best practices. Build robust, highly available, performant, scalable and reliable data services. Collaborate with cross-functional teams, engineers, and program/product management on building optimized and forward looking data tools, insights and reporting mechanisms that drive the business forward. Deliver quality features on-time and on-budget. Anticipate system/application challenges and propose solutions. Contribute innovative & new ideas to the product/program Roadmap. Mentor junior resources and drive end to end design, implementation and delivery of engineering components. Work with team members to manage the day-to-day development activities, participate in designs, design reviews, code reviews and implementation. Adjust positively to quickly changing priorities and shifting goals. Strive for continuous improvement of code quality and development practices. Required Qualifications 4-6 years of professional experience in practice area. Excellent leadership, verbal and written communication skills. Proven high level of expertise in any or all of the programming languages Python, Java, Scala, SQL and related technology stacks. Knowledge & experience in big data technologies (Hadoop, Apache Airflow, Apache Spark, Hive, Presto, etc.). Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. Deep proficiency in engineering best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Proven ability to take a project from scoping requirements through actual launch of the project. Experience with cloud computing fundamentals and building applications using cloud managed services. Willingness to adapt to and self learn new technologies and deliver on them. Technical depth and vision to perform POC's and evaluate different technologies. Additional Qualifications (not required, but each is a plus) Prior experience building/working with ML platforms/frameworks & Gen-AI(RAG, Agents etc). Knowledge & experience of containerization technologies such as Docker/Kubernetes. Prior experience building self service data platforms. Proven proficiency in API development (REST). #LI-LG1

The Big Data Service team under Oracle Analytics has a charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes, and management of the date in data lakes. The service work scope encompasses not just good integration with OCI's native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service's runtime characteristics and being able to take actions on the telemetry data is a part of the charter. ************************************************* We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 As Senior Big Data Platform Engineer, your responsibilities include the following (but not limited to) Working on distributed data-intensive systems, often as part of open-source communities. Taking ownership of critical parts of the cloud service, including shaping its direction. Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings. Working with, and supporting customers/users of the Big Data Service Design, develop, troubleshoot, and debug software programs for Big Data Service and related components. Optionally: Presenting work at conferences, meetups, or via articles.

At Oracle Health, we are pioneering AI solutions that redefine healthcare intelligence. As a Lead Data Scientist, you will guide teams in building and operationalizing advanced Generative AI and ML models that power decision support, automate workflows, and enable innovation across clinical and operational domains. You will serve as a technical leader-mentoring scientists, influencing strategy, and ensuring the scalability, performance, and compliance of AI solutions. Responsibilities Key Responsibilities Lead the design, delivery, and evaluation of advanced AI/ML and Generative AI systems. Translate product and clinical needs into AI strategies and solution architectures. Mentor and coach data scientists in technical excellence and model lifecycle management. Partner with engineering and product teams to ensure scalable, secure deployment. Define evaluation metrics, validation pipelines, and monitoring standards. Contribute to research, patents, and thought leadership in applied AI. Promote responsible and ethical use of AI in healthcare. Required Qualifications Master's or PhD in Computer Science, Data Science, AI/ML, or related field. 8+ years of experience in AI/ML with 2+ years in a leadership or mentorship capacity. Proven success delivering end-to-end AI solutions in production. Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of healthcare data systems and interoperability standards. Preferred Qualifications Experience leading cross-functional AI programs or research initiatives. Track record of innovation through patents, publications, or open-source work. Knowledge of LLMs, RAG pipelines, and AI agent frameworks. Proficiency with cloud ML platforms (OCI, AWS, Azure, GCP). Responsibilities Leads teams in identifying and executing high-impact AI opportunities; defines scalable architectures; ensures reproducibility and compliance; and mentors scientists to deliver AI innovations that enhance patient outcomes and drive business value. Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer (Analytics) Responsibilities: 1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. 2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 9. Influence product and cross-functional teams to identify data opportunities to drive impact. 10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 12. Telecommuting is permitted from anywhere in the U.S. 13. Domestic and International Travel Required 5%. **Minimum Qualifications:** Minimum Qualifications: 14. Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics or related field and 5 years of progressive, post- baccalaureate work experience in the job offered or in a related occupation 15. Experience must include 5 years in the following: 16. 1. Features, design, and use-case scenarios across a big data ecosystem 17. 2. Custom ETL design, implementation, and maintenance 18. 3. Object-oriented programming languages 19. 4. Schema design and dimensional data modeling 20. 5. Writing SQL statements 21. 6. Analyzing data to identify deliverables, gaps and inconsistencies 22. 7. Managing and communicating data warehouse plans to internal clients 23. 8. MapReduce or MPP system 24. 9. Python **Public Compensation:** $243,665/year to $279,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Big Data Service team under Oracle Analytics has a charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes, and management of the date in data lakes. The service work scope encompasses not just good integration with OCI's native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service's runtime characteristics and being able to take actions on the telemetry data is a part of the charter. ************************************************* We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. **Responsibilities** As Senior Big Data Platform Engineer, the responsibilities include the following. + Working on distributed data-intensive systems, often as part of open-source communities. + Taking ownership of critical parts of the cloud service, including shaping its direction. + Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings. + Working with, and supporting customers/users of the Big Data Service + Design, develop, troubleshoot, and debug software programs for Big Data Service and related components + Optionally: Presenting work at conferences, meetups, or via articles. **Qualifications** + BS/MS in Computer Science or equivalent experience + Proven experience implementing, and operating large scale cloud services + Experience with open-source software in the Big Data ecosystem + Experience at an organization with a strong operational/dev-ops culture + Solid understanding of networking concepts, security principles, and best practices. + Strong analysis and troubleshooting skills and experience + Strong proficiency in Java and related technologies. Python experience is also desired. + Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems + Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus). + Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. + Strong communication skills, with the ability to work effectively in cross-functional teams. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

We're looking for an experienced software engineer specializing in data engineering to join our growing team focused on building, supporting and enhancing the OCI Data Center telemetry big data and analytics platform. This platform is at the heart of driving hardware quality, reliability, and efficiency as well as providing operational insights for impact and root cause analysis. We're strongly focused on supporting the high scale use cases of Oracle Cloud Infrastructure (OCI). We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools. The Data Engineer will get to work with data at scale. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time. This enables us to provide measurement & alerting on key hardware quality KPI trends, as well as using machine learning to predict hardware failures before they happen and improve the OCI service offerings and customer experience. We are looking for engineers who are creative, passionate about data and its application in building solutions, and are excited to work at scale to solve customer problems. **Responsibilities** **A day in the life...** + Support the development and evolution of our Data Platform. + Understand, leverage and apply engineering best practices effectively. Lead by example and improve our coding standards and best practices. + Build robust, highly available, performant, scalable and reliable data services. + Collaborate with cross-functional teams, engineers, and program/product management on building optimized and forward looking data tools, insights and reporting mechanisms that drive the business forward. + Deliver quality features on-time and on-budget. + Anticipate system/application challenges and propose solutions. + Contribute innovative & new ideas to the product/program Roadmap. + Mentor junior resources and drive end to end design, implementation and delivery of engineering components. + Work with team members to manage the day-to-day development activities, participate in designs, design reviews, code reviews and implementation. + Adjust positively to quickly changing priorities and shifting goals. + Strive for continuous improvement of code quality and development practices. **Required Qualifications** + 4-6 years of professional experience in practice area. + Excellent leadership, verbal and written communication skills. + Proven high level of expertise in any or all of the programming languages Python, Java, Scala, SQL and related technology stacks. + Knowledge & experience in big data technologies (Hadoop, Apache Airflow, Apache Spark, Hive, Presto, etc.). + Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. + Deep proficiency in engineering best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations. + Proven ability to take a project from scoping requirements through actual launch of the project. + Experience with cloud computing fundamentals and building applications using cloud managed services. + Willingness to adapt to and self learn new technologies and deliver on them. + Technical depth and vision to perform POC's and evaluate different technologies. **Additional Qualifications (not required, but each is a plus)** + Prior experience building/working with ML platforms/frameworks & Gen-AI(RAG, Agents etc). + Knowledge & experience of containerization technologies such as Docker/Kubernetes. + Prior experience building self service data platforms. + Proven proficiency in API development (REST). \#LI-LG1 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

The Big Data Service team under Oracle Analytics has a charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes, and management of the date in data lakes. The service work scope encompasses not just good integration with OCI's native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service's runtime characteristics and being able to take actions on the telemetry data is a part of the charter. ************************************************* We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. **Responsibilities** As Senior Big Data Platform Engineer, your responsibilities include the following (but not limited to) + Working on distributed data-intensive systems, often as part of open-source communities. + Taking ownership of critical parts of the cloud service, including shaping its direction. + Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings. + Working with, and supporting customers/users of the Big Data Service + Design, develop, troubleshoot, and debug software programs for Big Data Service and related components. + Optionally: Presenting work at conferences, meetups, or via articles. **Qualifications** + BS/MS in Computer Science or equivalent experience + Proven experience implementing, and operating large scale cloud services + Experience with open-source software in the Big Data ecosystem + Experience at an organization with a strong operational/dev-ops culture + Solid understanding of networking concepts, security principles, and best practices. + Strong analysis and troubleshooting skills and experience + Strong proficiency in Java and related technologies. Python experience is also desired. + Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems + Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus). + Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. + Strong communication skills, with the ability to work effectively in cross-functional teams. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. 2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 9. Influence product and cross-functional teams to identify data opportunities to drive impact. 10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 12. Project management leveraging Agile or Kanban methodologies. 13. Create detailed design reviews to represent architectural design options. 14. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 15. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following: 16. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale 17. Programming in Python, Perl, Java, or PHP 18. Writing SQL statements 19. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies 20. Data warehousing architecture and plans 21. Informatica, Talend, Pentaho, dimensional data modeling, or schema design 22. Map Reduce or MPP system 23. LAMP stack development and 24. Hadoop, HBase, or Hive **Public Compensation:** $216,571/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. 2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 9. Influence product and cross-functional teams to identify data opportunities to drive impact. 10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 12. Telecommute from anywhere in the U.S.permitted. **Minimum Qualifications:** Minimum Qualifications: 13. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation 14. Requires five years of experience in the following: 15. 1. Features, design, and use-case scenarios across a big data ecosystem 16. 2. Custom ETL design, implementation, and maintenance 17. 3. Object-oriented programming languages 18. 4. Schema design and dimensional data modeling 19. 5. Writing SQL statements 20. 6. Analyzing data to identify deliverables, gaps, and inconsistencies 21. 7. Managing and communicating data warehouse plans to internal clients 22. 8. MapReduce or MPP system, AND 23. 9. Python **Public Compensation:** $218,284/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems. 2. Create and contribute to frameworks that improve the efficacy of logging data while working with data infrastructure to triage issues and resolve. 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 7. Solve our most challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 10. Influence product and cross-functional teams to identify data opportunities to drive impact. 11. Mentor team members by giving/receiving actionable feedback. 12. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 13. Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering or related field and 7 years of experience in the job offered or related occupation 14. Experience must include 7 years in the following 15. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale 16. Programming in Python 17. Writing SQL statements 18. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies 19. Data warehousing architecture and plans 20. Dimensional data modeling 21. Schema Design 22. Map Reduce **Public Compensation:** $218,062/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. 2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 9. Influence product and cross-functional teams to identify data opportunities. 10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 12. Telecommute from anywhere in the U.S. permitted. **Minimum Qualifications:** Minimum Qualifications: 13. Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following: 14. 1.- Features, design, and use-case scenarios across a big data ecosystem 15. 2. -Custom ETL design, implementation, and maintenance 16. 3.- Object-oriented programming languages 17. 4.- Schema design and dimensional data modeling 18. 5.- Writing SQL statements 19. 6.- Analyzing data to identify deliverables, gaps, and inconsistencies 20. 7.- Managing and communicating data warehouse plans to internal clients 21. 8.- Python **Public Compensation:** $184,241/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are looking for a hands-on engineering expert with deep experience in cloud data ecosystems (OCI, AWS, Azure) and the ability to deliver secure, high-quality, and scalable data solutions. As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries. Required Experience: - Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline. - 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms. - Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration. - Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks. - Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam). - In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments. - Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring. - Experience in regulated industries and familiarity with relevant compliance standards is a plus. - Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams. **Responsibilities** Key Responsibilities: - Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources to Oracle Industry Applications. - Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks. - Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold). - Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines. - Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements. - Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics for Oracle Industry Applications. - Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities. - Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability. - Mentor and guide junior data engineers and drive technical excellence and innovation across engineering efforts. \#LI-JF1 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Country: United States of America Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. ********************************************************************************************** Security Clearance: None/Not Required RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. The following position is to join our RTX Enterprise Services team: Position Overview: We are seeking a Senior Data Engineer to join RTX in the Enterprise Services Data organization, AI Foundations team. You will play an active role in bringing cutting edge AI, ML, and data capabilities to RTX. We provide capabilities to practitioners across the enterprise used to solve a vast variety of aerospace challenges through: Working with product leadership to maintain technical capability roadmaps Serving as technical stakeholders for RTX's AI platform Evaluating state of the art vendors and external capabilities to recommend for platform availability Building enablers, products, and services What You Will Do: Design, build, and maintain scalable data pipelines that support batch and real-time data processing across structured and unstructured data sources. Develop and optimize ETL/ELT workflows to ensure efficient data ingestion, transformation, and delivery into data warehouses, data lakes, or lakehouse environments. Collaborate closely with data architecture, analytics, ML engineering, and product teams to understand data requirements and translate them into reliable technical solutions. Implement data quality checks, data validation logic, and automated monitoring to ensure accuracy, completeness, and reliability of datasets. Work with cloud platforms (e.g., Azure and AWS) and distributed computing frameworks (e.g., Spark) to build high-performance data systems. Design and maintain metadata, lineage, and documentation that provides transparency into the data lifecycle and supports governance & compliance needs. Optimize data storage, compute, and pipeline performance to reduce cost and increase efficiency. Implement security and access control standards for sensitive data in alignment with organizational policies and compliance regulations. Troubleshoot production data issues, perform root cause analysis, and drive permanent fixes rather than temporary workarounds. Continuously evaluate new tools, technologies, and patterns to improve data engineering capabilities and align with future scalability requirements. Qualifications You Must Have: Bachelor's degree in a STEM discipline with 5+ years of professional experience in data engineering, software engineering, or a similar role, with a strong focus on building and maintaining robust data pipelines. 5+ years in programming languages, particularly Python, for building and automating data pipelines and analytics data stores. Experience with Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes and tools like Matillion or other replication tool like HVR (Fivetran) or QLIK Replicate. 3+ years relevant experience with cloud computing platforms (AWS and/or Azure.) Knowledge of data warehousing concepts, data modeling, and schema design. Understanding of data governance, lineage, quality frameworks, and metadata management. Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position. Qualifications We Prefer: A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets. Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. Experience building products that use Large Language Models (LLMs) or LLM APIs. Hands-on experience implementing production ready enterprise grade GenAI data solutions. Experience with Git, Github, or similar version control system, Jira, Confluence, and Agile development. Effective communication and collaboration, especially across development and operations and business stakeholders. Work with stakeholders to gather, prioritize, and document functional and technical needs before translating them into software solutions. Prioritize tasks and manage multiple streams of work efficiently. What We Offer: Unique to our team: A welcoming team that works together and supports one another. Flexible schedule (Core hours with optional 9/80, 4x10, or custom). A wide variety of technical opportunities in a cutting-edge landscape. RTX Benefits Highlights: Obtain professional certificates and degrees through the RTX employee scholar program. Comprehensive benefits package, including medical, dental, vision, life, short term disability, and long term disability benefits. Paid time off including holidays, sick time, and parental leave. 401(k) with matching. Rotational programs. Reward and recognition programs. Learn More & Apply Now! Work Location: Remote Please consider the following role type definition as you apply for this role: Remote: This position is currently designated as remote. However, the successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories). Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

The application window is expected to close on December 31st, 2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This will be a remote position. **Meet the Team** Commerce Quote to Order team enables Cisco's go-to-market strategy with a best-in-class commercial platform, focused on hardware, software subscription, and services by using the power of data. At Cisco Commerce our software engineers develop the next-generation CPQ (Configure Price and Quote) Software solutions that handles 50 billion dollars of Cisco revenue. Our solutions handle massive data with multiple flows. **Your Impact** We are currently looking for a talented and passionate Software Engineer to become part of our team. More than any other quality, we are looking for those inspired by the challenge of solving unique and difficult technical problems for our business partners, those who excel when given creative freedom, and those who are not afraid to dive into unfamiliar territory (technical or otherwise) and learn something new. You Will: Partner with product management teams to ship products that build customer value using Agile principles. Work with a technical leader to design and build next gen architecture for Cisco CPQ (Configure, Price and Quote) platform. Build and support high-volume revenue impacting software systems catering to different routes to market such as direct, partners and distributors and various products such as hardware, software, and services. Integrate: work with engineering teams to integrate platform with other systems such as tax, billing, invoicing, subscription, contracts, supply chain, manufacturing etc. **Minimum Requirements** + 5+ years of software development experience in building web applications, and integrations. + Bachelor's or Master's degree in engineering or computer science + Server-side software development experience using Sprint/Spring Boot, Java, NodeJS, and/or other comparable technologies. + In-depth knowledge about object-oriented programming concepts, data structures, algorithms, and design patterns. + Expert in java concepts like threading, generics, annotations etc. + Experience with deployment, continuous delivery, software quality assurance (documentation, unit testing, test automation, security analysis, and code reviews). + Proficient in non-SQL databases such as Mongo and Cassandra. + Strong coding skills **Preferred Requirements** + Knowledge in CI/CD platforms including Kubernetes, Jenkins, Git, Spinnaker, Docker, or related tools. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $126,500.00 to $182,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $152,500.00 - $252,000.00 Non-Metro New York state & Washington state: $135,800.00 - $224,400.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.