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Added 2 mins ago
Senior Software Engineer, Cloud Platform
Nvidia
Remote, United States
…provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to…
Added 2 mins ago
Applications Engineer II IS -Remote
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CA
The Application Engineer II is responsible for design, configuration, testing, implementation, and ongoing support of moderately complex applications and services. This role operates with…
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Senior AI Engineer
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MiniMed is building a lean, high-leverage AI & Data Science team. We are looking for a Senior AI Engineer who builds AI capabilities hands-on and sets the standard the rest of the team…
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Project Engineer I/II
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Senior Development Quality Engineer
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The Senior Development Quality Engineer assures new or modified products conform to quality standards and establishes compliance with the quality system. Responsible for maintaining a…
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- $58.61 USD / hour
…cleanup of the painting or repair area. Use the Lockout/Tagout system before performing any maintenance work. Display working knowledge of all engineering computer programs related to…
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Software Quality Engineer I
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Founding Engineer
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New York, NY
- $160,000 to $200,000 USD / year
Join an early-stage healthtech team as its third engineer, working closely with the founders. You will help support and improve AI-powered clinical conversation simulations used in…
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Senior ML / AI Engineer
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- $200,000 to $300,000 USD / year
- Establish strong practices for ML development and system quality across the team.
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Computer Engineer
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- $105,010 to $122,837 USD / year
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…Roads Design position, we are looking for a Transportation Engineer to prepare and oversee engineering designs, plans and specifications for the construction of roadway improvement projects…
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Staff Engineer, YouTube Shorts Creation Editor, Android
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Rialto, CA
As a Senior Automation Engineer (SAE), you will manage the Automation Engineering (AE) team at your facility. This includes coordinating the maintenance of the control systems, scheduling…
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Automation Engineer Manager
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…including PIMS, the Cross-Regional Planning & Optimization Engineer evaluates scenarios, validates plans, and identifies opportunities to improve value capture across the system. They…
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The Electrical Engineer will focus on satellite and ground system design and analysis of electronic components, circuits, and sub-systems. They will be expected to execute a variety of…
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Transmission Engineering Manager
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Develops and maintains a project portfolio management system to prioritize projects, allocate resources, and monitor performance.
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Early Career R&D Mechanical Engineer - National Security Products Center, NM/CA, Onsite
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…qualification, deployment, production support, and fielded-system…
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Clinical Specialist CRM - Burbank / Sherman Oaks
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Provide technical support for CRM devices and therapies by performing system checks/interrogations, supporting implants, troubleshooting issues, and applying knowledge gained through…
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Staff Machine Learning Engineer
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- $158,100 to $211,900 USD / year
The Staff Machine Learning Engineer is part of the Creative Technology Platform organization within Studio Technology. This role leads applied deep learning work in computer vision and…
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IT Infrastructure Engineer VI, Security
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The Chief Engineer provides technical leadership for CyberArk Privileged Access Management (PAM), enterprise identity security, and privileged account governance. The position supports the…
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Senior Production Site Reliability Engineer - PH
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…Technology team as a Senior Production Systems Reliability Engineer. In this role, you will develop and support cloud solutions for DKF productions and…
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Chief Engineer - Aircraft Development
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Closed listing

M&T Bank

Lead Data Engineer

Buffalo, NY, United States

$116,400 to $194,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $116,400 to $194,000 USD / year
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description Overview:

Designs, develops, implements and operates highly complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies strong software-engineering, data-modeling and distributed-processing practices to deliver solutions that are scalable, secure, resilient, observable and cost efficient. Independently resolves ambiguous engineering problems, contributes to technical direction and reusable standards, and mentors other engineers while partnering across product, architecture, governance, cybersecurity and platform teams.

Primary Responsibilities:

Lead the detailed engineering design, development, testing, deployment and production support of complex data pipelines and reusable data products.
Develop maintainable data-processing and transformation solutions using advanced SQL and programming languages such as Python.
Engineer solutions using Snowflake, Databricks, dbt and comparable modern data platforms; select appropriate warehouse, lakehouse or hybrid patterns based on workload needs.
Design analytical storage solutions using relational databases, cloud object storage, columnar formats and open table formats such as Apache Iceberg.
Implement batch, micro-batch, change data capture (CDC), event-driven and streaming patterns using technologies such as Apache Kafka or comparable platforms.
Integrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage with appropriate security and operational controls.
Apply normalized, dimensional, denormalized and data-product-oriented modeling approaches based on access, performance and lifecycle requirements.
Optimize Snowflake, Databricks/Spark and SQL workloads for performance, scalability, reliability and cost, including partitioning, parallelism, data movement and compute utilization.
Build data quality, reconciliation, metadata, lineage, observability, alerting and service-level controls into production solutions.
Design for restartability, idempotency, retry, replay, recovery and failure isolation; lead diagnosis and root-cause analysis for complex production incidents.
Apply source control, peer review, automated testing, CI/CD, environment promotion and infrastructure/configuration automation to data engineering delivery.
Create reusable libraries, templates, implementation patterns and reference solutions that improve consistency and engineering velocity.
Evaluate design alternatives and clearly document tradeoffs involving security, privacy, resiliency, maintainability, performance, cost and operational complexity.
Contribute to technical standards, identify technical debt and recommend pragmatic modernization or remediation approaches.
Mentor engineers through design reviews, code reviews, pairing and technical problem solving; influence engineering practices across the team and adjacent teams.
Partner with product owners, architects, governance, cybersecurity, platform and consuming teams to translate business and data requirements into scalable solutions.
Develop technical epics and stories, estimate complex work, surface dependencies and risks, and support iterative delivery through Agile practices.
Provide technical leadership and mentorship without direct people-management responsibility.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues requiring escalation to management.
Maintain internal control standards, including timely implementation of internal and external audit points and issues raised by external regulators, as applicable.
Promote an environment that supports belonging and reflects the Company brand.
Complete other related duties as assigned.

Education and Experience Required:

Associate’s degree and a minimum of 7 years’ systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year’s education and/or relevant work experience, including a minimum of 5 years’ system analysis and/or application development work experience.
Expert proficiency in a minimum of 1 relevant programming language and professional proficiency in a minimum of 1 additional relevant programming language.
Advanced SQL skills, including complex transformations, analytical queries and workload optimization.
Experience with Python or another general-purpose programming language used for production data engineering.
Hands-on engineering experience with Snowflake and/or Databricks.
Experience with modern ELT/ETL and transformation practices, including dbt or a comparable framework.
Experience with data modeling for warehouse, lakehouse and data-product use cases.
Experience with distributed data processing using Apache Spark/PySpark or a comparable framework.
Experience with Git-based development, automated testing, code review and CI/CD.
Experience with batch and streaming architectures, orchestration and production operations.
Knowledge of cloud computing and object-storage concepts, preferably in Microsoft Azure.
Experience working with structured and semi-structured data using formats such as Parquet, JSON, Avro, CSV and XML.
Demonstrated ability to independently design and deliver complex data solutions spanning ingestion, processing, persistence, quality and consumption.
Demonstrated ability to troubleshoot complex distributed-processing, data-quality and production reliability issues.
Demonstrated ability to balance performance, cost, scalability, resiliency, security and maintainability in technical decisions.
Demonstrated ability to review and improve technical designs and code developed by other engineers.
Demonstrated ability to communicate complex designs and tradeoffs to engineering, architecture, product and business audiences.

Education and Experience Preferred:

Advanced production experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.
Experience implementing Apache Iceberg or another open table format, including schema evolution, partitioning, snapshots and table maintenance.
Experience with Apache Kafka, CDC and event-driven architectures.
Experience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.
Experience with Infrastructure as Code and configuration automation, including Terraform or comparable tooling.
Experience with data catalogs, metadata management, lineage, data observability and automated data-quality frameworks.
Experience building governed enterprise data products or domain-oriented data solutions.
Experience working in a highly regulated environment such as financial services.
Master’s degree in Computer Science, Engineering, Data Engineering, Information Systems or a related technical field.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

Location

Buffalo, New York, United States of America

M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.

About employer

More about this job

Skills

Data management
Data modelling
Cybersecurity
Process data
SQL
Programming languages
Python
Snowflake
Databricks
dbt
Apache Kafka
Apache Spark
Root cause analysis
Test automation
CI/CD
Data engineering
Problem solving
Leadership
Team leadership
PySpark
Git
Cloud computing
Microsoft Azure
Apache Avro
Troubleshoot
Apache Airflow
Microsoft Azure Data Factory
Infrastructure as code
IBM Terraform
Computer science

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