Sr. Data Engineer

Linde's industrial gases and technologies are used in countless applications, enabling space exploration and launch technologies, delivering ultra-high-purity and specialty gases for semiconductor manufacturing, providing life-saving medical oxygen and enabling clean hydrogen production and carbon capture to reduce greenhouse gas emissions. What you will enjoy doing* Design and Develop Enterprise Data Pipelines: Architect, build, and maintain scalable, distributed data pipelines leveraging Apache Spark and Microsoft Fabric to process large structured and unstructured datasets.

Linde Gas & Equipment Inc.
Sr. Data Engineer
Tonawanda, NY, United States | req31963
What you will enjoy doing*

• Design and Develop Enterprise Data Pipelines: Architect, build, and maintain scalable, distributed data pipelines leveraging Apache Spark and Microsoft Fabric to process large structured and unstructured datasets.
• Data Integration Leadership: Integrate data from diverse internal and external systems, ensuring reliability, lineage, and consistency across the enterprise.
• Performance Optimization: Lead optimization of ETL/ELT workloads for large-scale analytics, improving cost efficiency, throughput, and reliability.
• Data Quality & Governance: Define and implement standards for data quality, metadata management, cataloging, lineage, and governance compliance.
• Cross-Functional Collaboration: Partner with data scientists, analysts, architects, and IT teams to define requirements, deliver insights, and integrate analytical models.
• Documentation: Develop and maintain in-depth documentation for pipeline architectures, workflows, schemas, and operational processes.
• Continuous Innovation: Evaluate emerging technologies and introduce modern data engineering practices such as lakehouse patterns, delta formats, automation, and real-time processing.
• Troubleshooting & Reliability: Lead resolution of complex data pipeline failures, ensuring platform stability and enterprise-grade reliability.
• Security & Compliance: Enforce enterprise data security, privacy, and access governance policies.

What makes you great

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of professional experience in data engineering, data architecture, or large-scale data platform development.
• Expertise in Apache Spark for large-scale batch and streaming workloads.
• Deep hands-on experience with Microsoft Fabric, including Data Engineering, Data Factory, Data Pipelines, and Lakehouse implementations.
• Advanced proficiency in SQL, Python, and/or Scala.
• Hands-on expertise with Microsoft Azure (preferred), AWS, or GCP cloud data services.
• Strong understanding of distributed systems, lakehouse patterns, and data modeling.
• Proven experience designing and optimizing complex ETL/ELT workflows.
• Strong communication skills, leadership capability, and technical mentorship experience.

Why you will love working with us
Linde is a leading global industrial gases and engineering company with 2025 sales of $34 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain, decarbonize and protect our planet.

Linde serves a variety of end markets such as chemicals & energy, food & beverage, electronics, healthcare, manufacturing, metals and mining. Linde's industrial gases and technologies are used in countless applications, enabling space exploration and launch technologies, delivering ultra-high-purity and specialty gases for semiconductor manufacturing, providing life-saving medical oxygen and enabling clean hydrogen production and carbon capture to reduce greenhouse gas emissions. Linde also delivers state-of-the-art gas processing solutions to support customer growth, efficiency improvements and emissions reductions.
What we offer you!
At Linde, the sky is not the limit. If you're looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.

Linde offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day!.

Salary Range: $108,225 - $158,730.
Have we inspired you? Let's talk about it
We are looking forward to receiving your complete application.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.

Linde Gas & Equipment Inc. acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.

*The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.
#LI-AC1Design and Develop Enterprise Data Pipelines: Architect, build, and maintain scalable, distributed data pipelines leveraging Apache Spark and Microsoft Fabric to process large structured and unstructured datasets.Data Integration Leadership: Integrate data from diverse internal and external systems, ensuring reliability, lineage, and consistency across the enterprise.Performance Optimization: Lead optimization of ETL/ELT workloads for large-scale analytics, improving cost efficiency, throughput, and reliability.Data Quality & Governance: Define and implement standards for data quality, metadata management, cataloging, lineage, and governance compliance.Cross‑Functional Collaboration: Partner with data scientists, analysts, architects, and IT teams to define requirements, deliver insights, and integrate analytical models.Documentation: Develop and maintain in‑depth documentation for pipeline architectures, workflows, schemas, and operational processes.Continuous Innovation: Evaluate emerging technologies and introduce modern data engineering practices such as lakehouse patterns, delta formats, automation, and real‑time processing.Troubleshooting & Reliability: Lead resolution of complex data pipeline failures, ensuring platform stability and enterprise‑grade reliability.Security & Compliance: Enforce enterprise data security, privacy, and access governance policies.