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Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
Data Scientist V (Product Measurement, Research & Silicon Infrastructure)
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Advanced Mfg Engineer Sr Adv
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Torrance, CA
Analyze manufacturing data and metrics to identify areas for improvement.
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Vice President of Paid Media
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Own paid social and native advertising strategy for Buyerlink’s Home Services and Automotive verticals, with Meta as the primary platform.
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Senior Lead Software Engineer - Agentic AI SRE Platform
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Palo Alto, CA
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MRO Materials Coordinator
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…collaborating with teams responsible for working with Product Data Management (PDM), Product Lifecycle Management (PLM) and CAD…
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Senior Software Development Engineer in Test, Confidential Computing - SDET
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Santa Clara, CA
Experience with Hypervisors is a big plus along with focus on cloud infrastructure, platform security, or highly regulated deployment environments.
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SDE II EC2 Nitro, EC2 Nitro
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…built on fully custom hardware, firmware, and applications. Our platform supports Intel, AMD, and Amazon's Graviton processors while setting industry standards for security and…
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Technical Program Manager - LPU Software
Nvidia
Santa Clara, CA
Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions
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Senior Technical Product Manager, Infrastructure Resilience
Nvidia
Santa Clara, CA
…Technical Product Manager to own AI infrastructure resilience platform capabilities and developer experience, including GPU node health contracts and interfaces, workload failure…
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Senior Customer Success Operations Manager
Nvidia
Santa Clara, CA
…strategy into scalable operational solutions that accelerate platform adoption. Working closely with Customer Success Strategy and Business Insights leads, you will assess processes,…
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Platform Infrastructure & Optics Software Engineer
ManpowerGroup
San Jose, CA
- $45 to $50 USD / hour
Our client, technology and networking industry is seeking a Platform Infrastructure & Optics Software Engineer to join their team. As a Platform Infrastructure & Optics SW Eng, you will be…
Added 1 min ago
Account Executive Wound Closure (San Jose, CA) – Johnson & Johnson MedTech – Surgery
J&J Family of Companies
San Jose, CA
Focus on growing our healing/Wound Closure platform.
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Senior Product Owner/Manager, Next Best Action Configuration
Humana
Sacramento, CA
…integrated healthcare services, innovative technology, and data-driven…
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Process Improvement Lead
Humana
Sacramento, CA
Anticipate regulatory, platform, volume, and data quality risks before they affect encounter submissions.
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Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
…traffic environment. You will be involved in creating both platform and product related services. You will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to…
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Associate Cobol Technical Analyst
Highmark Health
Sacramento, CA
…change request/enhancements on existing capabilities), analyze data to determine business problems, trends, or opportunities for process improvements, create/execute test cases, provide…
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Manager, Enterprise Communications & Channels
Amentum
Sacramento, CA
Assist with implementing intranet enhancements, platform updates, and communications technology improvements.
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Trainee
Teradata
Sacramento, CA
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and…
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AI Engineer, AI.x
Charles Schwab
San Francisco, CA
…accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an…
Added 1 min ago
Senior Data Engineer
Capgemini
San Francisco, CA
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate…
Added 1 min ago
Sr Worldwide GTM Specialist, GameTech, WWSO Visual Computing (Advanced Computing)
Amazon
Santa Monica, CA · San Francisco, CA
Deliver data-driven business reviews to leadership. Write clear, well-argued documents for proposals and initiatives. Own Game Tech inputs into Amazon’s Operational Planning (OP) documents.
Added 1 min ago
Confluent - Growth Marketing Manager
IBM
San Jose, CA · San Francisco, CA
Confluent, an IBM company, is pioneering a new category of data infrastructure: a cloud-native data streaming platform that connects and processes data in real time across applications,…

Closed listing

M&T Bank

Senior Data Engineer

Buffalo, NY, United States

$97,100 to $161,800 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $97,100 to $161,800 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, tests, deploys and supports complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies software-engineering, data-modeling and distributed-processing practices to deliver secure, reliable, maintainable and cost-conscious solutions. Works independently on defined outcomes, collaborates across technology and data teams, and contributes to reusable engineering patterns and continuous improvement.

Primary Responsibilities:

Design, develop, test, deploy and support complex production data pipelines and data products with guidance on broader architecture where needed.
Develop maintainable data-processing and transformation solutions using SQL and programming languages such as Python.
Implement solutions using Snowflake, Databricks, dbt and comparable modern data platforms and frameworks.
Build data solutions across relational databases, cloud object storage, warehouse and lakehouse architectures, including open table formats such as Apache Iceberg where applicable.
Develop batch, micro-batch, CDC and streaming pipelines using approved enterprise patterns and technologies such as Apache Kafka or comparable platforms.
Integrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage.
Apply normalized, dimensional and denormalized data-modeling techniques appropriate to analytical and data-product requirements.
Tune SQL, Snowflake and Databricks/Spark workloads for performance and cost using appropriate partitioning, parallelism and compute practices.
Implement data quality, reconciliation, metadata, lineage, logging, monitoring and alerting controls.
Build pipelines that support error handling, restartability, idempotency, retry, replay and recovery using established patterns.
Participate in production support, incident resolution and root-cause analysis; implement corrective actions to prevent recurrence.
Use Git, peer review, automated testing, CI/CD and environment promotion practices for data engineering delivery.
Develop and reuse shared components, templates and patterns; contribute improvements to engineering standards and documentation.
Participate in technical design and code reviews, identify implementation risks and escalate architectural concerns appropriately.
Partner with product owners, architects, governance, cybersecurity, platform and consuming teams to clarify requirements and deliver supported solutions.
Contribute to technical epics and stories, estimate assigned work, identify dependencies and deliver through Agile practices.
Provide day-to-day technical assistance and informal mentoring to less-experienced engineers. This role does not have 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 5 years’ systems analysis and/ or application development work experience or Bachelor's degree and a minimum of 3 years’ systems analysis and/ or application development work experience. In lieu of degree, a combined minimum of 7 years’ education and/or relevant work experience, including a minimum of 3 years’ systems analysis and/or application development work experience
Strong SQL skills, including development of complex transformations and analytical queries.
Experience with Python or another general-purpose programming language used for data engineering.
Hands-on experience with Snowflake, Databricks or a comparable cloud data platform.
Experience with ELT/ETL and transformation practices, including dbt or a comparable framework.
Experience with relational data stores and warehouse or lakehouse data-modeling concepts.
Experience with distributed processing using Apache Spark/PySpark or a comparable framework.
Experience with Git-based source control, automated testing and CI/CD fundamentals.
Experience with batch data processing and working knowledge of streaming or event-driven concepts.
Knowledge of cloud and object-storage concepts, preferably in Microsoft Azure.
Experience working with structured and semi-structured data using formats such as Parquet, JSON, CSV, Avro and XML.
Experience with Linux/Unix environments and scripting.
Demonstrated ability to independently deliver complex data pipeline components and data products within an established architecture.
Demonstrated ability to troubleshoot data-processing, data-quality and production issues across multiple technologies.
Demonstrated ability to apply established engineering patterns while identifying opportunities for improvement.
Demonstrated ability to communicate implementation choices, risks and dependencies to technical and product partners.
Demonstrated ability to manage assigned work from design through production support with limited day-to-day supervision.

Education and Experience Preferred:

Production experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.
Experience with Apache Iceberg or another open table format.
Experience with Apache Kafka, CDC or event-driven data processing.
Experience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.
Experience with Terraform or another Infrastructure as Code technology.
Experience with data catalogs, metadata, lineage, observability or automated data-quality tooling.
Experience delivering governed enterprise data products.
Experience working in a regulated environment such as financial services.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,100.00 - $161,800.00 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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