Business Area: Engineering Seniority Level: Director Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As a principal engineer in the team building a modern data fabric that provides unified metadata, governance, access control, data quality and data sharing capabilities across a diverse set of data systems, you will drive architecture, design, implementation and integrations, and influence requirements. You will work closely with architects, developers, platform teams, UI/UX designers and product managers to build scalable services that integrate with databases, data lakes, streaming services, and enterprise applications. As a Principal Engineer you will: - Drive design and implementation of services and microservices that form the core of the data fabric platform, ensuring scalability, reliability, security and performance. - Drive best practices for data lineage, observability, and quality, enabling trust and traceability across data pipelines. - Lead cross team initiatives, provide guidance, design reviews and hands-on contributions. - Collaborate closely with product managers to translate business requirements into robust technical solutions. - Mentor senior and mid-level engineers, to raise the technical bar across the organization. - Influence long-term platform roadmap and technical strategy. We are excited if you have: - 10+ years experience building large-scale, distributed systems, with a strong focus on data platforms - Deep understanding of practical data fabric concepts, including: - data pipelines and orchestration - Metadata management and lineage - Data quality and observability - Authorization, access control, auditability, data sharing - Expert-level Java experience, with a strong grasp of concurrency, performance tuning, and building micro-services. - Extensive experience with large scale data processing/analyzing systems, such as: - Distributed compute engines like Spark, Trino, Flink - Data storage systems like HDFS, object stores, data lakes - Messaging and streaming platforms like Kafka - Strong knowledge of distributed system design: consistency, scalability, fault tolerance and operability. - Proven ability to lead technically, influence architecture and deliver complex systems in production. You might also have: - Experience building or integrating data governance, authorization, or policy engines. - Familiarity with metadata platforms and standards (e.g., data catalogs, lineage frameworks). - Experience with cloud-native architectures and Kubernetes-based deployments. - Strong written and verbal communication skills, with the ability to explain complex systems clearly. The expected base salary range for this role in - California is $248,000 - $310,000 The salary will vary depending on your job-related skills, experience and location What you can expect from us: - Generous PTO Policy - Support work life balance with Unplugged Days - Flexible WFH Policy - Mental & Physical Wellness programs - Phone and Internet Reimbursement program - Access to Continued Career Development - Comprehensive Benefits and Competitive Packages - Paid Volunteer Time - Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-REMOTE

We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers. Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.  We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.  WHAT YOU'LL DO As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will play a critical role in enabling data-driven decision-making by ensuring the availability, integrity, and performance of our data systems. You will work closely with business intelligence team, data scientists, and other stakeholders to support advanced analytics initiatives and contribute to our overall data strategy. WHERE YOU’LL WORK This position has the flexibility of remote work in the United States. HOW YOU’LL SPEND YOUR TIME - Design and optimize complex data models, schemas, and storage structures across SQL Server, Snowflake, and other platforms to maximize performance, scalability, and data accessibility. - Lead the implementation and continuous improvement of enterprise-wide data warehouse strategies, ensuring data integrity, consistency, and alignment with organizational standards. - Design, develop, and maintain robust, scalable ETL/ELT pipelines leveraging SQL Server, Kafka, Azure Data Factory, Snowflake, and complementary technologies to support high-volume, real-time, and batch data processing. - Partner closely with business intelligence teams, data scientists, analysts, and key stakeholders to gather detailed requirements, translate them into scalable technical solutions, and deliver actionable data assets that drive business outcomes. - Collaborate with the data architecture team to define and implement scalable, high-performance data infrastructure and solutions aligned with enterprise data strategy. - Proactively monitor, troubleshoot, and optimize data pipelines and database systems to ensure high availability, reliability, and minimal latency, swiftly addressing any bottlenecks or failures. - Define, enforce, and champion data governance frameworks, ensuring compliance with data privacy regulations, security policies, and organizational standards. - Drive enhanced data observability by implementing comprehensive monitoring, logging, and alerting mechanisms to enable proactive identification and resolution of data quality and pipeline issues. - Stay abreast of emerging data engineering technologies, tools, and industry best practices to continuously innovate and improve data platform capabilities. - Provide technical leadership and mentorship to junior data engineers, fostering a culture of excellence, knowledge sharing, and adherence to best practices in data engineering and management. WHAT YOU'LL NEED - High school diploma or GED required. Bachelor’s degree in computer science, software engineering, information technology, or a related field or relevant work experience preferred - 6+ years of experience in a data engineering role with a strong focus on data warehousing and ETL processes - Skilled in SQL Server, MySQL, and Snowflake. Design data models, write SQL queries, and optimize database performance. - Experienced in building ETL pipelines using Azure Data Factory, SSIS, and Kafka for data integration and transformation. - Strong background in real-time data processing with Kafka and streaming technologies. - Knowledgeable in data warehouse design, data modeling, and database best practices. - Proficient in Python and Java for scripting and automating data workflows. - Hands-on experience with Azure Cloud Services like Azure Data Factory, Azure Databricks, and Azure SQL Database. Deploy and manage scalable data solutions on Azure. - Familiar with cloud infrastructure, automation, and security best practices to ensure reliable and secure data systems. - Understand data governance, data security, and compliance standards such as GDPR and HIPAA. - Strong problem-solving skills to quickly identify and fix data engineering issues. - Good communication skills to explain technical details clearly to both technical teams and business users. - Experience with RESTful APIs for integrating data systems. - Comfortable with additional programming languages like Scala and advanced Python. - Familiar with data visualization and BI tools to help deliver clear insights. BENEFITS - Flexible and generous paid time off - Competitive medical, dental, vision and life insurance - 401(k) employer matching program - Parental leave - Wellness resources - Charitable matching program - On-site workout facilities (Leawood, Gilbert, Burlington) - Community outreach groups - Tuition reimbursement Fostering A Sense of Belonging Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.  Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

Job Description Summary: Collects, manages, analyzes, and reports on cancer/tumor incidence data. Job Description: Identifies and analyzes the history, diagnosis, treatment, disease status and survival data of cancer patients treated in the organization. Prepares statistical reports on mortality rates, treatment effects, incidence rates of various diagnostic categories and demographic variables. Prepares documentation, abstracts medical records and develops criteria for patient care evaluation, collecting data for protocol studies, and conducting audits for committees and conferences. Assist departments in quality audits and reporting as needed. Complies with all reporting requests and requirements, including requests by the NCDB, quarterly reports to the State Cancer Registry and the annual ACoS report. Serves as a resource to others regarding department policies, procedures and services. Scheduled Weekly Hours: 0 Work Shift: Variable (United States of America) Job Exempt: No Benefits: Supporting all aspects of our employees’ wellness – physical, emotional and financial – is a critical component of being a great place to work. With the wide range of benefits and programs available, employees have the resources they need to be well at every stage of life and plan for the future. Physical Wellness: We offer wellness programs and resources to provide employees access to resources for a healthy lifestyle. Emotional Wellness: When life gets challenging, employees have access to our Employee Assistance Program for employees and anyone in their household. Financial Wellness: - Access the wages you’ve already earned before payday with Payactiv, giving you greater flexibility over your finances. - We offer eligible employees up to 2% of eligible pay in 403(b) company-matching contributions plus another 2% in the 401(a) retirement income plan. Career Mobility: Helping our employees develop their skills and grow their careers is critical to how we retain our talent and sustain our business. We do this by offering our teammates a variety of leadership-supported programs and learning and development resources for every stage of their professional development. We know that our employees are our most valuable resource – they’re how we grow our business and care for our community. Equal Opportunity Employer M/F/Vet/Disability Assistive technologies are available. Application assistance for those requesting reasonable accommodation to the career site is available by contacting HR at (207) 861-3440 .

Job Description Integrated Business Planning (IBP) brings together forecasting, planning, and execution across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes. Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Data and Technology Steward, will bring key system and process knowledge capabilities to the PET team. As the IBP Data and Technology Steward, you will drive the design, build, and operationalize the foundational models and data structures required for IBP, S&OP, and S&OE processes. You will ensure the Planning Excellence Team delivers high quality data modeling products. This is a critical role balancing data modeling expertise with the ability to interface with the commercial and global ops business leaders to enable better decision making. Principle duties and responsibilities: - Provide oversight and mentorship to a team of junior data scientists and campus hires. - Oversee and maintain operating forecasts and inventory models optimizing for key performance KPIs (e.g., forecast accuracy and fill rate) - Develop scalable planning data pipelines, including extraction, and transformation and for all major planning systems - Ensure consistent data governance, including planning parameters, metadata rules, segmentation, and planning hierarchies - Establish a peer review process to ensure data model quality has checks and balances within the team before committing to the operations to safeguard any operational impacts or errors. - Assist the team with troubleshooting any anomalies in their algorithms. - Partner with Planning Stewards and Data Scientists to ensure model alignment with standards, analytics, and process maturity needs - Support the establishment of the core E2E planning data model, workflows, and system integrations to modernize planning technology and enable scalable enterprise planning - Partner with data scientists and IT to define system requirements, integration needs, enhancements, and modernization initiatives (e.g., IBP, APS, Smart Layer, BI) - Support configuration of planning applications, including scenario modeling, workflow automation, dashboards, and KPI frameworks - Provide scenario-modeling support during stabilization, including validation of inputs, outputs, and calculation logic Qualifications Minimum Requirements: - Bachelor's or master's Degree or equivalent. - 10+ years relevant experience for entry to this level. - Extensive knowledge in predictive modeling, machine learning, and statistical analysis - Proficiency in programming languages such as Python, R, or SQL. - Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar. - Strong analytical and problem-solving skills with the ability to interpret complex data. - Work with business to interface with business to enable decision making - Extensive knowledge and specialized expertise in planning or supply processes - Experience interfacing with IT to translate business requirements into technical capabilities - Strong executive presence and leadership skills. - Demonstrated ability to assess complex business problems and deliver impactful results. - Excellent communication skills, with the ability to effectively engage with different levels of management. - Self-motivated and capable of operating independently. Additional Details This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least April 24, 2026 or until the job is no longer posted. The full-time equivalent pay range for this position is $143,760.00 - $224,625.00/yr USD in the US, or $140,784.00 - $219,975.00/yr CAD in Canada, plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility. Travel Required: 10% of the Time Shift: Day Duration: No End Date Job Function: Administration