Imagine yourself… - Growing your expertise and expanding your skillset with every project. - Owning your ambition and fuelling your career growth. - Thriving in a supportive team environment that inspires you to strive for excellence. Headquartered in Broomfield, Colorado, TraceGains, a Veralto company, connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data. At TraceGains, we believe “we’re in this together,” and our goal is to provide the most innovative solutions in the industry. We are in the game to change the industry, and with the help of our ever-growing TraceGains Network, we have created the CPG industry’s first networked ingredients marketplace. We also know that innovation and ingenuity start with prioritizing a diverse workforce and a deeply inclusive workplace. We encourage people from all backgrounds to apply to our positions. https://www.youtube.com/watch?v=-iFYdty_sWc Reporting to the Customer Success, Technical Services Manager , the Data Migration Specialist is responsible for customer data migrations into the TraceGains platform. This includes planning, executing, and validating data migration projects across a range of file formats and data types. Collaborate cross-functionally with Customer Success, R&D, QA, and API specialists to support implementations, resolve issues, and drive product improvements. This position will be Remote. In this role, a typical day will look like: - Data Migration: Execute end-to-end data migrations including source analysis, schema mapping, data transformation, and validation across CSV, Excel, and XML formats. - AI-Assisted Migration: Leverage AI-powered tools to accelerate data mapping, transformation, and validation processes, improving efficiency and accuracy. - SQL Scripting: Write and execute custom SQL scripts to transform, clean, and prepare customer data for migration and ongoing data management. - API Support: Respond to basic customer API inquiries and perform first-level troubleshooting; escalate more complex issues to senior API specialists. - Configuration Workbooks: Provide backup support for setting up and configuring TraceGains workbooks, including field mapping and initial system configuration. - General Troubleshooting: Investigate and resolve customer-reported issues related to data discrepancies, configuration errors, and platform behavior. - Standard Configuration Installation: Assist with standard configuration setup for new customers by following established implementation processes and documentation. The essential requirements of the job include: - Education: Bachelor’s degree in Information Systems, Business Administration, or a related field, or equivalent practical experience - Experience: 1–3 years of experience in data migration, data analysis, system configuration, or a related technical role - SQL Proficiency: Demonstrated ability to write and execute SQL queries for data extraction, transformation, and validation - Data Migration Experience: Hands-on experience performing data migrations, including source-to-target mapping, data transformation, and validation - Technical Tools & Data Handling: Advanced proficiency in Microsoft Excel (e.g., large datasets, VLOOKUP) and experience working with structured data formats such as CSV, Excel, and XML - Bilingual fluency in Spanish is preferred TraceGains is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application. US ONLY: The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $60,000 - $80,000 USD per year. This job is also eligible for Bonus Pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

• Diseñar, construir y mantener pipelines de datos (ETL/ELT) en entornos batch y streaming. • Desarrollar soluciones de ingesta y procesamiento de grandes volúmenes de datos estructurados, no estructurados y semi-estructurados. • Crear productos de datos que respondan a necesidades analíticas del negocio. • Diseñar e implementar modelos de datos escalables bajo enfoques como Data Vault, Estrella y Copo de Nieve. • Construir soluciones bajo arquitecturas modernas como Lakehouse y aplicar principios de Data Mesh. • Implementar buenas prácticas de integración continua y despliegue continuo (CI/CD) utilizando Azure DevOps. • Colaborar con equipos de negocio para entender requerimientos y proponer soluciones basadas en datos. • Trabajar de la mano con científicos de datos para habilitar casos de uso de inteligencia artificial y machine learning. • Participar activamente en la planificación y ejecución de proyectos de ingeniería de datos.

Responsibilities: - Translate business needs and architectural guidance into detailed designs, data contracts, and implementation plans that break down large initiatives into actionable engineering tasks with reliable estimates - Create detailed pipeline designs covering schemas, transformations, partitioning, DLT configurations, orchestration, error handling, and observability that align with the platform architecture through close collaboration with the Data Architect - Lead implementation and guide junior engineers on design, coding standards, and best practices - Develop metadata-driven and configuration-driven pipeline patterns that reduce custom code and improve consistency - Make technical decisions that ensure reliability, performance, maintainability, and scalability. Ensure production readiness with monitoring, lineage, alerting, observability, CI/CD and documentation - Define and enforce engineering design patterns, coding standards, testing practices, and operational best practices - Evaluate and incorporate new technologies and Databricks capabilities that improve reliability, performance, or developer productivity - Validate new technologies with the Data Architect and operationalize them through documentation, examples, and enablement - Implement automated data quality checks, rule enforcement, and exception handling - Production support of both an existing and new platform including optimization of jobs, incident tracking and other analysis required for production - Lead resolution of complex production issues and deliver durable root cause fixes - Maintain SLAs for reliability, recovery, idempotency, performance, and cost efficiency - Mentor Level 2–3 engineers through pairing, design guidance, code reviews, and technical coaching Basic Skills: - Bachelor’s degree preferred; equivalent experience accepted - 10+ years of experience in data engineering (12+ without a degree) - 3+ years hands-on with Databricks (Delta Lake, DLT, Unity Catalog, workflow jobs) within the last 6 years - 4+ years building production-grade batch/streaming pipelines using PySpark, Spark Structured Streaming, Python, and SQL - Proven experience with data governance, schema evolution, data lineage, and secure access patterns - Proven 2 years’ experience with maintaining and sustaining data pipelines Preferred Skills: • Experience building metadata-driven or configuration-driven pipelines • Experience with data quality frameworks (DQX, Great Expectations, or equivalent) • Experience with observability, metrics and query performance analysis • Strong Spark optimization Work Conditions: • Team collaborative hours between 8am to 4pm EST • Remote corporate office/lab environment • Ability to travel 10% of the time

Role Description Frankenmuth Insurance is seeking a motivated individual to join our Finance Modernization & Automation team for a year-round internship opportunity. This position can be in office or remote. As an intern at Frankenmuth Insurance, you will have a chance to gain hands-on experience assisting the Finance Modernization & Automation team on a variety of projects. Primarily you will have the opportunity to assist with modernizing and automating financial data processes. The ideal candidate is curious, detail-oriented, and eager to apply analytical and technical skills to solve real-world business problems. This role will involve: - Collaborating with cross-functional teams - Addressing and supporting the company’s commitment to maintaining accurate, transparent, and compliant business practices Qualifications - Students should be currently enrolled and entering their sophomore-senior year in college - Preferred major is Data Analytics, Accounting, Auditing - Ability to organize data, manage multiple tasks and make decisions independently - Able to communicate effectively - Attention to detail Requirements - A minimum requirement for this position is the ability to work legally in the United States - No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process