• Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data access and insight across product teams, engineering, and entities. • Develop reusable data services and frameworks that support high-quality data ingestion, transformation, and ML model deployment — accelerating analytics and experimentation across the organization. • Collaborate with data scientists and ML engineers to productionize machine learning workflows using SageMaker, Vertex AI, or other MLOps tools • Implement monitoring, testing, and CI/CD automation for data pipelines and ML services • Own and evolve real-time and batch data integrations between ActBlue’s core systems and user-facing applications — influencing design decisions and architecture across multiple teams including Product, Engineering, and Analytics. • Develop, optimize and support reverse ETL workflows using tools like Hightouch • Participate in code reviews, mentor junior engineers, and help foster a high-trust engineering culture. • Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear and audience-oriented communication.

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes. • Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting. • Integrating and configuring database infrastructure, ensuring performance, scalability, and data security. • Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar. • Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability. • Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency. • Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently. • Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs. • Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

• Design and implement data processing systems, including data warehouses, data lakes, and real-time processing platforms; • Configure and manage technologies such as Hadoop, Spark, and Kafka, as well as cloud environments across Azure, AWS, and GCP; • Build and maintain automated ETL/ELT processes for data collection, cleansing, and transformation; • Ensure seamless, reliable data flow between diverse systems and sources, with a strong focus on data quality and consistency; • Optimize data systems for high-volume, high-velocity workloads; • Design and implement distributed computing solutions that maintain performance at scale, proactively identifying and resolving bottlenecks.

Req ID: 134134 Region: Americas Country: USA State/Province: New Hampshire City: Remote Employee US General Overview Functional Area: Supply Chain Management (SCM) Career Stream: Supply Chain Management (SCM) Role: Specialist (SPE) Job Title: Specialist, SCM Data Job Code: SPC-SCM-SCD Job Level: Level 08 Direct/Indirect Indicator: Indirect Summary Incumbents apply in-depth knowledge in a specific area of specialization. Work is performed within established professional standards and practices. Works on problems of moderate scope where analysis of situations or data requires a review of identifiable factors and a considerable degree of judgement. Erroneous decisions or failure to achieve results may have a negative impact on the division’s/department’s operations, schedules, and/or performance goals. Works under minimum Supervision. Seeks approval from others on matters outside of job/role scope. Receives instruction on specific assignment objectives and possible solutions. Unusual problems are solved jointly with manager. Work is reviewed for application of sound technical judgment. May lead a work group or project team consisting of technical and support staff. Builds internal and external relationships, with emphasis on those that facilitate the achievement of job/role accountabilities, such as relationships with key suppliers, customers and internal service. Detailed Description Performs tasks such as, but not limited to, the following: - Develops, and implements new systems and processes to support SCM business requirements. - Leads or participates in the implementation of ERP / decision support systems and solutions. - Designs and documents specifications for new systems, system enhancements or interfaces. Works with IT todevelop and implement programs. - Provides system, process, and training support for new acquisitions in areas of database development.. - Maintains processes that ensure the accuracy of ERP systems. - Conducts training on processes and procedures that affect data integrity. - Reviews, recommends and implements enhancements / new systems required by business. Implements andensures adherence to SCM policies and practices. Knowledge/Skills/Competencies Job Responsibilities - The Data Analyst is responsible for accelerating the development of analytics using Excel, Power BI & other platforms. - This role will bring together data from different sources to provide metrics and insights that enable visibility andimprovements to Supply Chain Operations - Work collaboratively with business partners at varying levels to identify, design and deliver reporting & analyticssolutions - Provides analysis, tracking of data and ongoing reporting, ad hoc analysis and partnership to share insights within thebusiness - Uses data to highlight key trends and collaborate with businesses to identify causes, costs and potentialinterventions/solutions - Lead multiple project activities simultaneously where prioritization skills are critical - Engaged in the team’s Lean Business Process objectives to provide continuous improvement Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Frequent overnight travel may be required. Salary The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range. The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate. Salary Base Range: $74K-$99K Typical Experience Three to six years of relevant experience. Typical Education Three to six years of relevant experience. Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.