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

• Collaborate with multiple product teams for unified data strategies • Design scalable ELT/ETL pipelines in AWS and GCP • Implement data quality frameworks for performance metrics • Mentor mid-level engineers and improve data workflows

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description The Senior Data Engineer is responsible for designing, developing, and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR systems. The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic, and IVR event data. This role is critical for ensuring platform stability, supporting complex backend investigations, and enabling long-term scalability of the IVR solution. Responsibilities - Design, develop, and maintain databases supporting IVR and contact center systems - Support databases used by both runtime IVR services and analytics platforms - Design and maintain relational data models for IVR event, routing, and call data - Write, maintain, and optimize SQL for application logic, configuration changes, and investigations - Ensure database availability, integrity, performance, and scalability in production environments - Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting - Monitor and troubleshoot production databases and support incident investigations - Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements Qualifications - 5+ years of experience as a Data Engineer - Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing - Hands-on experience with AWS hosted relational and NoSQL databases - Solid experience in relational data modeling for transactional and analytical systems - Experience working with event-based data and backend systems generating high volumes of interaction data - Strong experience with AWS - Build and maintain scalable ETL/ELT pipelines for ingestion and transformation - Strong Python (or Golang/Java/Scala) - Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes) Nice to have: - Experience with Apache Spark, Spark Streaming, or Kafka - Experience working with IVR platforms or voice systems, or telecom data - Experience with Amazon Aurora MySQL and Amazon Redshift. - Experience with relational and analytical database technologies such as PostgreSQL or cloud-based data warehouses - Scripting skills in Python or Shell for automation and support tasks - Background in customer experience analytics - AWS Certified Data Engineer Additional Information We offer: - Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. - ForeverRemote work culture: make the most of the flexibility that comes with remote work. - Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

The Senior Data Engineer will report to the Senior Director of Data & AI and will help ensure UVVC’s implementation and use of technology meets the business needs and supports the company mission. As key member of the Data team, you’ll collaborate with other leaders and their teams across the entire organization. In this part of your role, you will create opportunities for strategy, leverage and technology direction solutions across UVVC business units. This position is open to remote candidates. Data Pipeline Development & Orchestration - Design, build, and optimize end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks. - Develop robust ingestion frameworks for batch and streaming data from APIs, databases, SaaS platforms, and internal systems. - Create scalable and architecturally sound data transformation frameworks using Delta Lake (medallion architecture), Spark, and SQL, aligned with enterprise Lakehouse standards. Implement CI/CD, parameterization, triggers, and pipeline automation best practices Azure Data Platform Engineering - Architect, manage, and optimize enterprise data environments across ADLS, Azure SQL, and Databricks, including cluster design, cost governance, and workload isolation strategies. - Conduct performance tuning, cluster scaling, monitoring, and cloud cost optimization. - Implement DataOps practices including testing, version control, monitoring, and documentation. Data Quality, Governance & Reliability - Build data validation, auditing, and error-handling frameworks to ensure accuracy and consistency. - Maintain documentation, naming standards, metadata structures, and governance best practices. - Troubleshoot complex data issues and deliver sustainable technical solutions. Databricks Architecture & Platform Ownership - Design and implement enterprise-grade Databricks Lakehouse architecture (Bronze, Silver, Gold layers). - Define and enforce data engineering standards, naming conventions, and architectural patterns across all pipelines. - Lead the architecture of Delta Lake design patterns, including partitioning, optimization, and data lifecycle management. - Establish scalable cluster strategies, job orchestration frameworks, and workspace organization. - Drive performance optimization strategies across large-scale distributed data workloads. - Own security and governance frameworks within Databricks (Unity Catalog, access controls, data lineage). - Evaluate and implement new Databricks capabilities and ensure alignment with enterprise data strategy. Cross-Functional Collaboration - Work closely with clinical, finance, RCM, operations, and IT teams to understand business needs. - Provide technical guidance on data engineering patterns and platform capabilities. - Clearly communicate progress, risks, and technical decisions to stakeholders and leadership - Demonstrate and promote a work culture committed to UVVC’s Core Values: Understanding, Nurturing, Ingenuity, Trust, Excellence, and Diversity. - Demonstrate behaviors that are consistent with UVVC’s Standards of Conduct as outlined in our Employee Handbook. - Uphold confidentiality and compliance standards in accordance with UVVC policies, the Health Insurance Portability and Accountability Act (HIPAA), and other applicable laws and regulations. PHI is a top priority of our organization. Qualifications - 6+ years of hands-on data engineering experience. - Strong expertise in: - Azure Data Factory (ADF)—pipelines, mapping data flows, IR management. - Azure Databricks—notebooks, Spark, Delta Lake, workflow orchestration. - SQL—complex logic, performance optimization, analytics queries, stored procedures. - Proficiency in building scalable cloud ETL/ELT solutions. - Deep expertise in Lakehouse architecture (Medallion: Bronze/Silver/Gold) and Delta Lake optimization techniques. - Proven experience operating at a Databricks Architect level, designing and implementing enterprise-scale data platforms. - Strong understanding of Databricks Unity Catalog, data governance, and security models. - Experience defining data platform standards, frameworks, and best practices across teams. - Strong knowledge of data modeling, governance, and distributed processing. Highly Preferred (Major Plus) - Experience with AI/ML workflows, feature engineering, or model enablement. - Healthcare data experience (EHR/EMR, HL7, FHIR, claims, RCM). - Experience leading or mentoring teams on Databricks architecture and best practices. - Experience building multi-workspace or multi-environment Databricks strategies (Dev/Test/Prod). - CI/CD experience (Azure DevOps, GitHub Actions, Databricks Repos). - Python experience for ETL logic, automation, or ML support. - Familiarity with real-time processing (Structured Streaming) within Databricks Experience with Azure Synapse or equivalent warehousing technologies About us: UVVC, is a leading provider of comprehensive vein and vascular care with over 45 clinics across Arizona, Chicago, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions. United Vein & Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for it’s patients.