Role Description The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction, and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining, and modeling. - Consult with Engineering Manager and Architect in System architecture and approaches. - Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. - Establish and implement standards and processes to ensure optimum performance of data storage services. - KPIs, targets, and tooling to measure data services and third-party service performance related to the application. - Documentation; including actual architecture of deployed services, logging, monitoring, and support components, etc. - Identify and document design decision points, propose approaches, and communicate for review and clarification. - Establish and provide tooling for ETL processes to maintain data store performance. - Participate in the development of documentation. - Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. - Ensuring adherence to application architecture, system standards, and practices. - Database performance testing. - Timely communication of identified issues to reduce potential cost risks. - Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. - Assist in root cause analysis for identified performance issues. - Communicating key project data to team members and building cohesion among teams. - Developing and executing project plans and tasks as assigned. Qualifications - Bachelor’s degree in Computer Science or a related field. - 2+ years experience in a network administration role. - Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred. - Previous experience with Cisco switches and routers preferred. - MCSE certification a plus. - CISSP, CCNA, or CCNP certification a plus. Requirements - Must have excellent communication and teamwork skills. - This role is fully remote; must have a reliable internet connection and a suitable workspace. - This role requires availability during standard business hours (Monday–Friday, [8:00 - 5:00]). You must be available to dedicate 20+ hours a week, when required, during these hours. - Must complete a skills assessment to qualify for the position. - Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. - No agencies will be considered.

Role Description We're looking for a Senior Data Analytics Engineer who thrives in a fast-moving environment and enjoys solving complex data problems across a broad range of business functions. You bring hands-on experience building and maintaining data models, and you're equally comfortable diving into ad hoc analysis as you are designing scalable, automated reporting solutions. You will get to: - Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation. - Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics. - Perform ad hoc data exploration and analysis to answer immediate business needs. - Identify opportunities to improve data quality, performance, and observability. - Help develop standards for analytics engineering best practices. Qualifications - At least 7 years of experience in analytics engineering, data engineering or analytics-heavy roles. - Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, bioinformatics, etc.), or equivalent experience. Requirements - Advanced SQL — strong understanding of CTEs, window functions, query optimization. - Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights. - Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis. - Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentations. Company Description At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform.

Role Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America. This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across Riot’s gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization Qualifications - Strong experience with Databricks - Strong SQL and Python programming experience - Experience building scalable ETL/ELT pipelines - Experience with AWS data ecosystem and cloud-native architectures - Experience with dbt, Apache Airflow or similar orchestration tools - Strong understanding of data modeling and analytics engineering - Experience working with large-scale structured and semi-structured datasets - Experience implementing data governance and data quality practices - Experience optimizing pipeline performance and scalability - Strong communication and collaboration skills - Ability to work independently within distributed engineering teams Nice to Have - Gaming industry experience - LiveOps or telemetry pipeline experience - Experience supporting analytics for player behavior, engagement, monetization, or publishing systems - Experience with real-time or streaming data systems - Experience with viewer analytics or esports data ecosystems - Experience with KPI reporting and operational dashboards - Familiarity with cost optimization and cloud infrastructure analytics - Experience working in fast-paced product engineering organizations Basic Qualifications - BS or Master’s degree in Computer Science, related degree, or equivalent experience - 5+ years experience with data-related and data management responsibilities - Deep expertise in designing and building data warehouses and big data analytics systems - Practical experience manipulating, analyzing and visualizing data - Self-driven and motivated, with a strong work ethic and a passion for problem solving - Professional English proficiency (B2/C1) Benefits - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote

Role Description Be a part of a world-class academic healthcare system, Company, as a Data Quality Registrar in the Cancer Registry - Hyde Park. This position is a remote, work from home opportunity and you may be based outside of the greater Chicagoland area. Under general direction, is responsible for completing special quality and reporting projects such as Cancer Program Practice Profiles Reports (CP3R) and ad hoc reports in support of the Clinical Research Data Warehouse (CRDW). Works with Center for Research Informatics (CRI) staff, to help integrate Cancer Registry data with existing data in the CRDW. Provides education and cross trains the cancer registry staff to optimize departmental functions and enhance data quality. Oversees the data quality in the cancer registry database, as well as designs and distributes reports to meet the needs of the Cancer Committee, Administration, Marketing, cancer researchers, Illinois State Cancer Registry, National Cancer Database, and other clients. Collects and reports data regarding cancer identification, treatment, and follow-up on each eligible cancer patient as needed to assist in maintaining departmental timeliness. Assists the Cancer Registry Manager with other job duties as directed. Essential Job Functions - Creates ad-hoc reports in support of the CRDW project - Works with CRI staff to integrate registry data with the CRDW - Incorporates QA methods based upon national standards of quality oncology care to reveal and address abstracted data inconsistencies in real time and retrospective data within the Registry Database and reports the findings to the Cancer Registry Manager. - Provides continuing education and cross training within the Cancer Registry Department to address and prevent future data inconsistencies, as well as optimizing departmental functions. Departmental policies and procedures are updated as needed. - Submits “cleaned” registry data to the Illinois State Cancer Registry and National Cancer Database. - Performs case finding audits as requested. - Performs cancer abstraction, coding and follow up for patients as needed. - Performs other duties assigned. Qualifications - Associate’s degree in Health Information Management, Healthcare Administration, Computer Science, or related field required; Bachelor’s preferred. - Registered Health Information certification (RHIT, RHIA) by the American Health Information Management Association or Certified Tumor Registrar (CTR) certification by the National Cancer Registrars Association required. - Seven or more years of experience in a cancer registry setting with a focus on data quality and knowledge of patient care. - Computer skills including: cancer registry databases and networked hospital information systems, Microsoft Word, Microsoft Outlook, Excel, and Internet. - Working knowledge of the following coding systems and manuals: Collaborative Staging, AJCC Cancer Staging, SEER Summary Staging, ICD-O Coding, Facility Oncology Registry Data Standards (FORDS), Illinois State Cancer Registry (ISCR) Reporting Manual, Multiple Primary and Histology Coding Rules, and the Hematopoietic Manual and Database. - Must have working knowledge of the Cancer Program Standards of American College of Surgeons Commission on Cancer. - Good interpersonal and communication skills, both written and verbal. - Positive attitude with the ability to effectively work independently or within a team environment; registrars, physicians and allied healthcare professions. - Ability to assess and interpret clinical source documents (i.e. pathology reports, operative reports, discharge summaries, clinic notes, chemotherapy records, radiation therapy reports, etc.) and apply appropriate coding rules. - Skills in analyzing, investigating, organizing, problem solving, and prioritizing within a system that has frequently changing priorities and deadlines. Preferred Qualifications - Registered Health Information certification (RHIT, RHIA) by the American Health Information Management Association or Certified Tumor Registrar (CTR) certification by the National Cancer Registrars Association required. Position Details - Job Type/FTE: 1.00 - Shift: M-F, Day Shift - Work Location: Full Time Remote - Unit/Department: Cancer Registry - Hyde Park - CBA Code: Non-Union Compensation & Benefits Overview UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position. The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union.