• Develop, evolve, and maintain scalable data pipelines in a Google Cloud Platform (GCP) environment • Design and implement data ingestion, processing, and storage solutions using services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions • Develop and optimize ETL/ELT processes, ensuring performance, reliability, and data quality • Create data models to support analytics, Business Intelligence, and Data Science initiatives • Monitor, diagnose, and optimize the performance of pipelines and data processing workloads • Implement best practices for governance, security, observability, and data quality • Collaborate with Software Engineering, Analytics, Data Science, and business teams to understand requirements and develop data-driven solutions • Contribute to the evolution of the data architecture, proposing continuous improvements in scalability, cost, and performance • Follow development best practices, automation, and continuous integration/continuous deployment (CI/CD).

Role Description Exceptional Hospitality Starts with You Location: 7930 Jones Branch Dr. McLean, VA 22102 (position allows 100% full remote work from anywhere in the U.S.) Salary: $175,500 - $180,500 What will I be doing? - Collaborate with teams (Cloud Operations, Global Information Security, Cloud DBAs, and Networking). - Design, implement, and maintain AWS infrastructure and services within a managed service environment to implement infrastructure platforms that meet business requirements. - Design, implement, and maintain AWS data lake environment. - Lead migration efforts from Infrastructure for migration of legacy BigData Solution into EMR. - Collaborate with Data Science teams to establish best practices for data ingestion and processing in the data lake, ensuring support for business users. - Collaborate with platform, cloud operations teams to implement Terraform infrastructure, manage system installations, patches, and upgrades. - Manage EMR, Talend, and IICS cluster workloads. - Address performance issues in tools like Alation, MSTR, Tableau, and Alteryx. - Work with AWS services such as EMR, IAM, EC2, VPC, Lambda, S3, EKS, ECS, KMS, Kinesis, Config, CloudTrail, EventBridge, RDS, SNS, SQS, ELB, and ASG. - Troubleshoot issues related to applications, data, cloud infrastructure, Linux, and automation scripts. - The position supervises direct reports. - Job requires up to 5% of domestic travel. Qualifications - Bachelor's degree or equivalent, or higher, in Computer Science, Analytics, or a related field. - Five (5) years of progressive experience in Systems Engineering/Administration, or related occupation. Requirements - Progressive experience in data integration and proficiency in AWS cloud and Hadoop Big Data architecture. - Utilizing HDP ecosystem, CI/CD pipelines, and configuration management. - Using Linux, including Solaris, Ubuntu, CentOS, AIX, HP-UX, and Windows (NT/2000/XP/Vista/7/8). - Utilizing NetApp Filer, EMC, AWS S3, Apache Tomcat, WebLogic, and grid computing configuration and installations. - Applying source code management practices and systems, particularly Bamboo and GitHub. - Deploying and managing AWS services including EC2, S3, EBS, IAM, ELB, CloudFormation, Terraform, and CloudWatch using both the AWS Console and AWS CLI. Benefits - Health/Dental/Vision insurance. - 401(K). - PTO. - Life/Disability Insurance. - And more. Company Description Join an Award-Winning Workplace Culture At Hilton, we don’t just deliver exceptional experiences for our guests—we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we’ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality. Our award-winning culture has earned us repeated recognition on the World’s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands, and a company-wide commitment to providing the best stay for every guest, we’re setting new standards for the future of travel. Whether you’re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career—and help us make every stay a little more magical. Curious about life at Hilton? Explore our Careers Blog to see why we’re more than a great place to stay—we’re a great place to work. TO APPLY: Apply to Hilton Domestic Operating Company Inc. at https://jobs.hilton.com using req. #212527 or submit your resume to jobapplication@hilton.com . Please include the job title and requisition # in the subject line of the e-mail. #LI-DNI

Job Description Role Overview: As a Kdb+/Q Engineer within our Global Trading Applications team, you will design and build data and analytics platforms that power trading and quantitative research across global markets. Working closely with traders, quantitative researchers, and engineers, you will develop high-performance solutions for real-time and historical market data at significant scale. This role offers the opportunity to work on a large-scale Kdb+/Q environment supporting critical trading, research, and analytics workflows. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available. Responsibilities: - Design and build high-performance Kdb+/Q platforms that support real-time research, streaming - analytics, and trading workflows across global markets - Partner directly with traders, quantitative researchers, and engineers to deliver technology that drives - business outcomes - Develop scalable solutions for large-scale market data, time-series analytics, and distributed computing - challenges - Contribute to the architecture and evolution of our Global Trading Applications platform, which supports - trading, data, and analytics workflows across the firm - Drive engineering excellence through thoughtful design, automation, and operational best practices Qualifications: - Strong experience developing production applications using Kdb+/Q at scale - Experience building market data, analytics, electronic trading, or quantitative research platforms - Proficiency in one or more programming languages such as Python, Java, or C++ - Strong Linux and distributed systems knowledge - Ability to collaborate effectively with technical and front-office stakeholders - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field In accordance with applicable law, the base salary range for this role is $175,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs. About Citadel Securities Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

• Build scalable, high-performance data infrastructure • Design and maintain real-time and batch data pipelines using Kafka, Databricks, and Snowflake • Develop reliable data solutions for business-critical reporting and analytics • Build AI-powered data experiences for data exploration and analysis • Partner with cross-functional teams to translate business requirements into analytics-ready datasets • Design and optimize modern data models (Star Schema, Data Vault) • Drive best practices for data engineering and mentor teammates • Collaborate in an agile environment to support evolving business needs