• Work on a project for data migration and quality initiative • Prepare, cleanse, and reconcile data across systems • Ensure a clean, consistent, and compliant dataset • Collaborate with a team that values rigour and precision

• Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment. • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake. • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements. • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. • This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud. • Written and oral presentations to high-level CIO management on status of current efforts. • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. • Typically has specialization in a particular technology or business application. • Keeps abreast of technological developments and industry trends. • Assist with deployment, configuration, and management of Azure Cloud environment. • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment. • Ability to share optimization and efficiencies with the larger team and management. • Ability to automate solutions to repetitive problems/tasks.

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for You will define and drive the strategy for data reliability, quality, and operational excellence across the organization, shaping how Circle builds and trusts its data ecosystem. This includes establishing company-wide standards for data quality, contracts, and governance; designing scalable reliability and observability frameworks; and institutionalizing incident management practices that promote a culture of accountability and continuous improvement. You will influence platform and architectural decisions to ensure long-term scalability, reduce systemic risk, and eliminate classes of failure across the data landscape. As a senior technical leader, you will also guide cross-team prioritization of reliability investments, define best-in-class data engineering practices, and lead complex, high-impact initiatives in ambiguous environments-driving alignment, mitigating risk, and delivering robust, scalable data solutions. What you'll work on - Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance frameworks across domains - Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns - Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems - Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks - Drive cross-functional prioritization of reliability initiatives, balancing technical debt, operational health, and product delivery across teams - Lead ecosystem-wide platform improvements, identifying architectural gaps, reducing fragmentation, and influencing build vs buy decisions - Own and deliver complex, high-impact data initiatives, aligning stakeholders, mitigating risks, and driving scalable solutions in ambiguous environments What you'll bring to Circle Core Requirements - Extensive experience designing and operating scalable data platforms with a focus on reliability, quality, and observability - Experience leveraging AI tools and methodologies to design and implement the solutions - Deep expertise in data architecture, including data modeling, pipeline design, and distributed data systems - Proven ability to define and implement data quality frameworks, including SLAs, data contracts, and governance standards - Strong experience establishing SLI/SLO frameworks, monitoring, and alerting for large-scale data systems - Demonstrated ability to lead complex, cross-team technical initiatives and drive alignment across stakeholders - Experience defining and scaling engineering best practices, including testing, CI/CD, and development standards for data systems Preferred Requirements - Experience building or evolving data platforms in high-growth or highly regulated environments (e.g., fintech, payments, crypto) - Familiarity with modern data tooling ecosystems, including orchestration, transformation, metadata, and observability platforms - Experience with technologies such as Astronomer (Airflow), BigQuery, dbt, Dataplex, Kubernetes, and programming languages like Python or Go, or comparable tools in the modern data stack - Track record of influencing platform strategy, including build vs buy decisions and long-term architectural evolution Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $225,000 - $290,000 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

Role Description Texas Oncology is looking for a Data Coordinator to join our team! This position will support the Tyler location and is a Remote position. Typical hours are Mon-Fri from 8am-5pm. This position can be either a level 1, 2 or Sr based on experience. Under general supervision is responsible for the collection, coordination, processing and quality control of clinical trial data, maintaining research protocol and other research files as applicable. Works with clinical staff to meet data entry timelines and communicate any concerns about the data. Works in compliance with US Oncology Research (USOR) Standard Operating Procedure (SOP), principles of Good Clinical Practice (GCP) and all applicable federal state and local regulations. Supports and adheres to the US Oncology Compliance Program to include the Code of Ethics and Business Standards. Responsibilities - Extrapolate data from source records into case report forms for all patient visits and ensure timely data submission in accordance with USOR SOPs. - Responsible for resolving queries, communicating concerns or questions about data to clinical staff and or research management. - Utilizes USOR clinical trial management system to access research forms and keep current all applicable patient reporting and tracking functions including but not limited to subject CRF Binders/Folders. - Maintains research records in a confidential manner according to practice policies, sponsor confidentiality agreements, HIPAA guidelines and any other applicable regulations. - Actively participates in sponsor monitoring and auditing visits, ensuring that all data and queries are entered and resolved in accordance with USOR and sponsor requirements. - Assist with ordering and maintaining research supplies. - Assist with scheduling patient follow up appointments and/or procedures required to maintain protocol compliance. - Assist with collecting and processing of specimens, imaging documents, and other items required for research purposes. Qualifications - Level 1: High School Diploma required; Associates Degree strongly desired; Bachelor's Degree preferred; 0-3 Years work experience; Some medical office experience required; preferably oncology. - Level 2 (in addition to level 1 requirements): Minimum 3 years medical office experience (preferably oncology); Minimum 3 years as Data Coordinator required; SoCRA or ACRP cert. preferred. - Level Sr (in addition to level 1 and 2 requirements): Medical terminology required; Minimum 7 years as a Data Coordinator required. Requirements - Experience in Microsoft Office. - Experience with computer data entry and database management. - Experience in clinical research desired. - High computer literacy required. Specialized Knowledge/Skills - Excellent written and oral communication skills. - Excellent multi-tasking skills. - High attention to detail and accuracy. - Ability to independently organize, prioritize, and make decisions. - Knowledgeable of medical terminology. Working Conditions - Traditional office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Exposure to communicable diseases, toxic substances, ionizing radiation, medical preparations and other conditions common to an oncology/hematology clinic environment. Physical Requirements - Large percent of time performing computer based work is required. - Requires full range of body motion including handling and lifting patients, manual and finger dexterity, and eye-hand coordination. - Requires standing and walking for extensive periods of time. - Occasionally lifts and carries items weighing up to 40 lbs. - Requires corrected vision and hearing to normal range.