Sr Data Engineer

TekniPlex

About The Position

Imagine: A Career with Purpose and Possibility Picture this: You are part of a global team of problem-solvers whose innovations in materials science can make life better. Every day, you help turn ideas into impact using science, technology, and creativity to tackle real-world challenges. You are part of a company whose work helps improve patient outcomes in healthcare and protects essential consumer goods that people around the world rely on every day. At TekniPlex, you’ll join more than 9,000 colleagues across 12 countries, all united by one purpose: creating safer, smarter solutions that touch daily life. Through our two divisions, TekniPlex Healthcare and TekniPlex Consumer Products, you’ll help shape industries that matter: healthcare, pharmaceutical, food & beverage, beauty, and personal care. Here, your ideas count and your work matters. You’ll be encouraged to think boldly, collaborate across cultures, and keep growing every step of the way. You will help protect the integrity of essential products, support patient safety and comfort, and contribute to innovations that make everyday life better, all while building a career that makes an impact. Because at TekniPlex, you don’t just deliver products – you help shape what’s next. TekniPlex is seeking a highly skilled Sr. Data Engineer to support and advance our enterprise data and reporting capabilities. This role is responsible for designing, building, and optimizing scalable data solutions across a complex ERP and analytics landscape. The ideal candidate brings deep expertise in the Microsoft data stack, strong data modeling and ETL experience, and a passion for delivering high-quality, reliable data to drive business decisions.

Requirements

7+ years of experience in SQL-based data engineering, reporting, or business intelligence.
Strong expertise in Microsoft SQL Server (2012–current) and related tools (SSRS, SSIS, SSAS).
Advanced SQL skills, including complex joins, subqueries, aggregations, and performance tuning.
Experience designing and building data warehouses and data models.
Proficiency in ETL development and data integration from multiple sources.
Experience working with APIs and system integrations.
Strong scripting experience (PowerShell preferred).
Familiarity with ERP systems (e.g., Infor, SAP, PRMS) and underlying data structures.
Experience working in Agile environments and cross-functional teams.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and manage multiple priorities.
Strategic thinking and problem-solving.
Strong attention to detail and data accuracy.
Effective communication with technical and non-technical stakeholders.
Ability to operate in a fast-paced, evolving environment.
Collaborative mindset with a focus on delivering business value.
Excellent written and verbal communication skills; ability to think strategically, exercise independent judgment and problem solving; ability to work cohesively with multi-functional development and process teams.
The candidate must be fluent in English with high level communication skills written and spoken.
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
Ability to author reports, business correspondence, and procedure manuals.
Ability to effectively present information and respond to questions from groups of managers, employees, and customers.
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability to interpret an extensive variety of technical instructions in mathematical form and deal with several abstract and concrete variables.

Nice To Haves

Experience with Power BI or modern data visualization tools.
Exposure to cloud-based data platforms or modern data architectures.
Experience leveraging AI or automation in data management workflows.
Bilingual (English/Spanish).

Responsibilities

Design, develop, and maintain enterprise reporting and business intelligence solutions using Microsoft technologies (SSRS, SSIS, SSAS, SQL Server, Visual Studio).
Build and optimize complex SQL queries to support analytics, reporting, and operational use cases.
Develop and manage ETL pipelines to ingest, transform, and integrate data from multiple sources (ERP systems, APIs, flat files).
Architect and maintain data warehouses and dimensional data models.
Design and manage SSAS cubes to support advanced analytics and reporting.
Ensure data accuracy and integrity through ongoing data quality monitoring and issue resolution.
Optimize performance of reports, dashboards, and data pipelines.
Implement and maintain data security, access controls, and governance standards.
Collaborate with cross-functional teams including application development, infrastructure, and cybersecurity.
Support and enhance automation using PowerShell, Power Automate, and other scripting tools.
Participate in on-call rotations and support ITIL-based incident and change management processes.
Contribute to documentation, knowledge transfer, and continuous improvement initiatives.