• Be responsible for expanding and optimizing our data and data-pipeline architecture, as well as improving data flow and collection for cross-functional teams • Create, build, and maintain optimal data pipeline architectures • Assemble large, complex datasets that meet business requirements • Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and AWS/Azure big data technologies • Work with data and analytics experts to enhance the functionality and reliability of our data systems

Job Requisition ID # 26WD96683 Position Overview We are hiring a Principal Data Engineer to join Autodesk’s Enterprise Data Management (EDM) team within the COO-GET organization. In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company. You will partner across product, platform, and business stakeholders to translate complex business needs into pragmatic, high-quality technical solutions and to raise engineering maturity across multiple teams. Familiarity with master data management, data enrichment, identity resolution, and data quality practices is a plus. Responsibilities - Act as a technical leader and force multiplier across multiple data engineering teams: coach, mentor, and raise the bar on code quality, testing, and delivery practices - Define and own architecture and standards for data platform services, including data modeling, ETL/ELT patterns, metadata, and data governance - Lead design and delivery of robust, performant data pipelines and data products using modern cloud data platforms (e.g., Snowflake), orchestration, and transformation tooling (dbt or similar) - Drive DataOps maturity: testing frameworks, automated quality gates, CI/CD, observability, incident response, and runbooks for production data workloads - Solve complex, enterprise-scale data engineering challenges (record reconciliation, identity/organizational hierarchies, lineage, scale/performance) - Lead root-cause analysis and durable remediation for complex production incidents; enable teams to prevent recurrence - Collaborate closely with product managers, data stewards, analytics, ML, and business stakeholders to prioritize high-impact initiatives and translate requirements into scalable engineering solutions - Provide hands-on implementation as needed (POC, spike, or production work), and lead technical decision-making across teams - Design and operationalize real-time/near-real-time data paths and evented architectures as appropriate to use cases. Minimum Qualifications - BS/MS in Computer Science or a related technical field, or equivalent practical experience - 10+ years of hands-on software and data engineering experience in enterprise environments - Deep, demonstrable expertise with SQL, hive, dbt, Python & Snowflake, and modern data engineering tooling (Snowflake and dbt or comparable technologies) - Strong experience designing data models (conceptual, logical, physical) and optimizing query performance at scale - Practical experience with data lake table formats and query engines (for example, Apache Hive, Apache Iceberg) - Extensive AWS experience and comfortable designing solutions using cloud services and IaC (Terraform/CloudFormation) - Track record of leading architecture and solution design for complex, cross-team systems - Demonstrated ownership of data quality frameworks, observability, and production reliability for data workloads - Excellent communication skills and experience influencing stakeholders across GEOs and functions - Proven experience mentoring engineers and elevating team delivery practices. Preferred Qualifications - Prior experience in ingesting, aggregating, event streams, web & product analytics data - Practical experience with streaming/event-driven architectures and stream processing frameworks (for example, Apache Flink) - Familiarity with search/indexing systems and integrating with data APIs - Experience operationalizing ML/AI or GenAI capabilities on enterprise data platforms Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $128,000 and $229,900. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Job Title Data Engineer II Location Cleveland Facility Remote Location Department Emergency Medicine-Integrated Hospital Care Institute Job Code T99347 Shift Days Schedule 9:00am-5:00pm/8:30am-4:30pm Job Summary Job Details Join the Cleveland Clinic team where you will work alongside passionate caregivers and make a lasting, meaningful impact on patient care. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world. As Data Engineer, you will support the organization’s enterprise database needs by developing, maintaining, and enhancing internal and customer-facing databases and applications. You will use your skills and expertise to collaborate with technical and non-technical stakeholders to define metrics, automate reporting, and identify opportunities for automation. The role focuses on ETL development, including processing, transforming, and moving large volumes of data, while supporting clear communication and collaboration across multidisciplinary teams. Everyone at Cleveland Clinic is a caregiver. As part of our IT and cybersecurity team, you’ll do more than explore and expand your discipline and skills, you’ll impact patients everywhere by delivering world-class care. Help our teams stay connected, up to date and equipped with the groundbreaking tools and technologies that are changing patients’ lives. A caregiver in this position works remotely out of Ohio, Florida, or Nevada, Monday-Friday 8:00 a.m. – 4:30 p.m. or 9:00 a.m. – 5:00 p.m. A caregiver who excels in this role will: - Assist and support the overall database need of Cleveland Clinic. - Support the creation of various analytics and .NET applications through databases, such as MS SQL and Airflow. - Work in a team of database developers, software developers and business analysts to deliver database analytics and web-based applications. - Develop, maintain and enhance databases and applications for internal purposes and customer reporting. - Administer existing databases and the analysis, design and creation of new databases. - Perform data modeling, database optimization, understanding and implementation of schemas and the ability to interpret and write complex code. - Monitor systems for optimum performance and capacity constraints. - Design, implement and support ETL processes. - Establish database standards, documentation and best practices. - Handle multiple projects while supporting existing production databases and processes. - Perform support, development and administrative activities as required. Minimum qualifications for the ideal future caregiver include: - Bachelor's degree in computer science, engineering or related field - Three years database development experience Additional experience may offset degree requirement. - Solid understanding of database and .NET computing environment concepts - Excellent knowledge of current technologies and project management skills - Diverse technology background required along with strong verbal and written communication skills Preferred qualifications for the ideal future caregiver include: - Master's Degree - Programming experience with an emphasis on coding that scales well and is optimized for use in high-volume environment - Experience building ETL processes/pipelines and automating scheduling of these processes - Experience in SQL, Airflow, Python, Snowflake, DBT, and GIT preferred Physical Requirements: - Ability to communicate and exchange accurate information. - Ability to perform work in a stationary position for extended periods. - Ability to work with physical records or operate a computer or other office equipment. - In some locations, ability to travel throughout the hospital system. - In some locations ability to move up to 25 lbs. Personal Protective Equipment: - Follows standard precautions using personal protective equipment as required. The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our drug free environment. All offers of employment are followed by testing for controlled substances. Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption. Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility. If applying for a Florida position, please see the following website for more information on the background screening requirements required by the Agency of Health Care Administration: https://info.flclearinghouse.com/ Please review the Equal Employment Opportunity poster. Cleveland Clinic is pleased to be an equal employment opportunity employer.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Your Team As a Senior/Staff Software Engineer on our Data Infrastructure group, you will contribute to scaling and advancing our entire data infrastructure. This includes building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities. Responsibilities - Guide complex initiatives from initial requirements gathering and robust system design to deployment, effectively evaluating dependent technologies and collaborating closely with stakeholders. - Build scalable data infrastructure and shape the developer experience, tackling projects such as owning data cataloging, versioning, and lineage to support seamless research and production workflows. - Provide technical guidance to both engineering and research staff, fostering a supportive environment that accelerates the growth of your teammates. Requirements - Computer Science / Engineering bachelor’s degree (or equivalent) - 5+ years of relevant software engineering experience - Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale - Experience working with large codebases and building modular, extensible, and maintainable software - Expertise in a modern programming language, such as Python, Go, Java or C++ - Hands-on experience developing in a Linux/UNIX environment - Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure - Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis) - Strong communication skills and a knack for explaining complex ideas with clarity and simplicity Preferred Qualifications - Familiarity with the following strongly preferred: - Cluster management and containerization technologies (e.g. Kubernetes, Docker) - Cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena) - Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users - Job scheduling and orchestration technologies (e.g. Airflow, Slurm) Compensation The base salary range for this position is $225,000 to $310,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MB1