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Added 2 mins ago
Operations Engineer (Java, Oracle, AWS & WebLogic)
REI Systems
Remote, United States
Perform root cause analysis (RCA) for recurring application failures and implement sustainable technical solutions.
Added 3 mins ago
Experienced Equipment Engineer
The Boeing Company
Huntsville, AL
Lead Root Cause/Corrective Action (RCCA) efforts and drive results of the RCCA to production
Added 3 mins ago
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Quality Engineer III (26916)
NEOTECH
Longmont, CO
- $90,000 to $100,000 USD / year
Aerospace Quality Engineer with expertise in ensuring compliance with AS9100, customer requirements, and industry regulations throughout the manufacturing lifecycle. Skilled in root cause…
Added 4 mins ago
Senior Cloud Network Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
…observability tools and packet captures. Lead major-incident response, root-cause analysis, and corrective…
Added 7 mins ago
Lead Process Engineer
HD Supply
City of Industry, CA
Certification is required in some areas
Added 7 mins ago
Experienced Equipment Engineer
The Boeing Company
Huntsville, AL
Lead Root Cause/Corrective Action (RCCA) efforts and drive results of the RCCA to production
Added 9 mins ago
Senior Quality Engineer
Biolab Holdings, Inc.
Mesa, AZ
Lead and approve quality event investigations - nonconformances, deviations, CAPAs, and customer complaints - including root cause analysis and effectiveness verification.
Added 10 mins ago
BR
Build Engineer
Beyond Reach Labs
Brooklyn, NY
- $100,000 to $120,000 USD / year
As a Build Engineer, you will turn designs into hardware: from early R&D test articles, through full-scale prototypes, to qualification units and first flight deployables. You will work…
Added 13 mins ago
A
Manufacturing Engineer
Actalent
Beloit, WI
- $33.5 to $41 USD / hour
Assist with root cause analysis and corrective actions for production and quality concerns, using structured problem-solving methods.
Added 13 mins ago
ADC Engineer I, Amazon Dedicated Cloud Engineering - Support Engineering
Amazon Web Services, Inc.
Seattle, WA
On a typical day, our engineers may dive deep to find the root cause of a customer issue, investigate why a metric is trending in the wrong direction, or discuss radical new approaches to…
Added 13 mins ago
Hardware Support Engineer, RDPI Global Engineering Hardware Development
Amazon.com Services LLC
Westborough, MA
…(DVT), and execute hardware troubleshooting, equipment recovery, root cause analysis, and continuous improvement initiatives across Amazon's fulfillment…
Added 14 mins ago
MP
Quality Engineer I
MESA POWER SOLUTIONS LLC
San Antonio, TX
- $75,000 to $85,000 USD / year
Lead and support structured root cause analysis and corrective action using methodologies such as 5-Why, Fishbone/Ishikawa, 8D, CAPA, and other appropriate problem-solving tools.
Added 14 mins ago
O
Senior Principal Site Reliability Engineer
Oracle
Nashville, TN · Austin, TX
- $110,800 to $234,600 USD / year
Lead root-cause analysis and post-incident reviews, documenting contributing factors and lessons learned.
Added 16 mins ago
Rotational Engineer
Oshkosh Corporation
Oshkosh, WI
Participate in problem-solving, root cause analysis, continuous improvement, and innovation efforts.
Added 19 mins ago
Cybersecurity Engineer
USA DeBusk LLC
Deer Park, TX
Candidates MUST live in Houston or the surrounding area to be considered (NOT a remote or hybrid position)
Added 22 mins ago
Engineer III (Sr) Accy Development
MOBIS Parts America
Fountain Valley, CA
4 - 7 years of automotive industry experience Required
Added 23 mins ago
Senior Software Engineer (Akamai Platform, WAF & CDN)
Digital Media Innovations, LLC
United States
Perform performance analysis, capacity planning, root cause analysis, and continuous reliability improvements for internet-facing applications.
Added 24 mins ago
Lead Site Reliablity Engineer
Conga
Remote, United States
Serve as an escalation point and incident commander for high-severity production incidents, including root cause analysis and long-term remediation.
Added 25 mins ago
Manufacturing Engineer
Rinnai America Corp
Griffin, GA
Conduct root cause analysis and implement corrective actions for recurring production and quality concerns.
Added 25 mins ago
Site Reliability Engineer, Mistral Cloud
Mistral
New York, NY
- Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence.
Added 26 mins ago
N
Quality Engineer III (26916)
NEOTECH
Longmont, CO
- $90,000 to $100,000 USD / year
Aerospace Quality Engineer with expertise in ensuring compliance with AS9100, customer requirements, and industry regulations throughout the manufacturing lifecycle. Skilled in root cause…
Added 28 mins ago
OS
Senior Quality Engineer
Orenco Systems
Sutherlin, OR
- $100,000 to $110,000 USD / year
Working within the framework of ISO 9001 quality management standards, the Senior Quality Engineer supports internal and external audits, investigates quality concerns, performs root cause…
Added 29 mins ago
S
Industrial Engineer – Solar Operations & Data Analytics
SunPower
Orem, UT
- $100,000 to $120,000 USD / year
Identify where projects are accumulating in the pipeline, perform root-cause analysis, and determine the operational and financial impact of delays.
Added 29 mins ago
J
Process Engineering Intern
Covington, GA
- $22 to $25 USD / hour
Facilitate and lead root cause analysis (RCA) discussions focused on quality issues or equipment failures
Added 31 mins ago
Maintenance Engineer
Stepan Company
Anaheim, CA
Lead equipment troubleshooting and root cause failure analysis (RCFA) efforts to implement sustainable corrective actions.

Closed listing

M&T Bank

Lead Data Engineer

Wilmington, DE, 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.

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Jobs in the United States