Top 6 sr. data engineer Jobs in amherst, ny

Sr. Data Engineer
Linde plc —Tonawanda, NY
- $108,225 - $158,730 a year
- Full-time
- 7 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Buffalo, NY
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Buffalo, NY
- $77,000 - $202,000 a year
- Computer Science
- Mentoring
- Fair chance
- Paid holidays
- Health insurance
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Buffalo, NY
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Senior Data Engineer – Cloud & AI Platforms - AIRLHV
NavitasPartners —Buffalo, NY
- From $40 an hour
- Full-time
- Hybrid work
- AWS
- Senior level
Quick Apply
Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
- From $140,000 a year
- Full-time
- Remote
- HIPAA
- SQL
- AWS
- Health insurance
- Dental insurance
Quick Apply
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sr. data engineer jobs near amherst, ny

Sr. Data Engineer

Linde plc -
Tonawanda, NY

Apply Now

Job Details

Full-time
$108,225 - $158,730 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k) matching
Employee discount
Life insurance

Qualifications

Data model design
Performance tuning
Cloud analytics services
Data Integration (Data management)
Data modeling projects
Team leadership
Spark
System performance optimization
Process design
Data Architecture Design (Architecture design skills)
Spark implementation
Mentoring
Cloud Architecture Design (Architecture design skills)
Distributed computing
Real-time data processing implementation
Data performance optimization
Batch data processing

Full Job Description

Sr. Data Engineer

26000435

Position can be based in either US or Canada.

Position Qualification Summary:

The Senior Data Engineer will join the Americas IT software and architecture team. This business-centric IT team enables business-focused development of cutting‑edge solutions and integrates global/regional IT initiatives into the business.

In this senior role, we are seeking an experienced Data Engineer with deep hands‑on expertise in Apache Spark, Microsoft Fabric, and cloud‑scale data architecture. You will lead the design of robust data pipelines, optimize large-scale data architectures, and drive data‑driven decision‑making across the organization.

The Senior Data Engineer is expected to work independently, collaborate with business and IT leaders, guide junior engineers, and architect solutions from the ground up based on complex business requirements.

Key Responsibilities:

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.

Qualifications:

Basic:

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.

Preferred:

Professional certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric.
Experience with real‑time streaming technologies such as Kafka or Azure Event Hubs.
Knowledge of DevOps practices including CI/CD, Infrastructure as Code, and automated testing.
Experience with visualization tools such as Power BI or Tableau.

About Linde:

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 and protect our planet.

Culture:

At Linde, we strive to create a work environment that treats all employees with respect, supports new thoughts and ideas, encourages growth and development, celebrates our differences, and embraces inclusion. Linde is committed to remaining an employer of choice for the diverse, ever-increasing pool of global talent.

For more information about the company and its products and services, please visit www.linde.com.

Salary:

Pay commensurate with experience. Open to salary range $108,225 - $158,730.

Benefits:

Linde Gases US offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, 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!

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.

#LI-PL1

Primary Location New York-TONAWANDA

Schedule Full-time

Job IT

Unposting Date Ongoing

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Refine Your Search

sr. data engineer jobs in amherst, ny

Sr. Data Engineer

Data Engineer - Senior Manager

Data Engineer - Senior Associate

Applied AI Health Data System Engineer-Senior Manager

Senior Data Engineer – Cloud & AI Platforms - AIRLHV

Senior DevOps Engineer – Data Engineering

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