Jobs in the United States

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Added 4 mins ago
C
AI Data Engineer
Cognizant
Salt Lake City, UT
- $100,000 to $115,000 USD / year
Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
Added 4 mins ago
C
AI Data Engineer
Cognizant
Salt Lake City, UT
- $100,000 to $115,000 USD / year
Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
Added 4 mins ago
GA
Principal Technical Product Manager, Data & Platform
GE Aerospace
Salt Lake City, UT
- $152,000 to $222,000 USD / year
Added 21 mins ago
C
Sr. Python and Snowflake Developer (Onsite)
Cognizant
Buffalo, NY
- $100,000 to $135,000 USD / year
We are seeking an experienced Snowflake Lead Developer with strong expertise in Snowflake, Python, SQL, and modern data engineering practices. The ideal candidate will design, build,…
Added 21 mins ago
C
Sr. Python and Snowflake Developer
Cognizant
Buffalo, NY
- $130,000 to $150,000 USD / year
As a Sr. Python and Snowflake Developer , you will make an impact by designing, developing, and optimizing scalable cloud-based data solutions that support enterprise analytics, reporting,…
Added 22 mins ago
Director, Partner Development Manager
Snowflake Inc.
NEW YORK, NY
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 22 mins ago
Account Executive, Majors
Snowflake Inc.
NEW YORK, NY
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 22 mins ago
Delivery Module Lead
Mphasis Corporation
NEW YORK, NY
…deploymentRole OverviewWe are seeking a hands-on Java and Apache Spark Developer to build, enhance and support scalable data-processing solutions on modern enterprise data platforms. The…
Added 36 mins ago
Analyst, Omnichannel Analytics
CVS Health
Boston, MA
1+ years of hands-on experience in data analysis using tools such as SQL, Python, Snowflake, or similar technologies.
Added 37 mins ago
UO
Data & Integration Analyst
University of Colorado Denver
Boulder, CO
- $99,700 to $109,660 USD / year
Added 1 hour ago
Model Development & Decision Science Director
Columbia Bank
Lake Oswego, OR
Added 1 hour ago
Snowflake Data Architect
Datavail Corporation
Remote, United States
Deep hands-on Snowflake architecture and advanced SQL experience.
Added 1 hour ago
Senior Snowflake Engineer
Datavail Corporation
Remote, United States
7+ years in data engineering, data warehousing or analytics engineering with strong recent Snowflake delivery.
Added 2 hours ago
Data Science Specialist
Stride, Inc.
Saint Paul, MN
Added 2 hours ago
Ecosystem Growth Leader
Acxiom
Jefferson City, MO
+ Ecosystem growth focus is on the following platforms: Databricks, Snowflake, Adobe, Salesforce.
Added 6 hours ago
Data Engineer (Ref# DE115ARS)
Info Services, LLC
Livonia, MI
…technology spaces. Use of Spark, Scala, PySpark, Kafka, Databricks, Snowflake, GenAI, SQL, Java, Python, Jenkins, Docker, Git, AWS, and Azure. Requirements: Bachelor's degree or foreign…
Added 6 hours ago
Global Head of Infrastructure & Cloud Operations
Janus Henderson Investors
Denver, CO
Own the AI & data platform run-state. Engineer and operate the services behind our Medallion architecture (Snowflake, Azure, DBT) so analytics and AI use-cases scale across the firm.
Added 7 hours ago
Sr Manager, Performance Analytics & Insights, Oncology
Pfizer
Jefferson City, MO
Added 8 hours ago
Senior Manager, Business Information Architect
Alcon Research, LLC. Company
Fort Worth, TX
Familiarity with modern cloud data and analytics platforms (e.g., Azure, Databricks, Snowflake) and how they integrate with the C2M platform ecosystem
Added 8 hours ago
AVP Growth Analytics
Unum Group
Portland, ME
Added 9 hours ago
Manager, Visual Analytics
Ochsner Health
New Orleans, LA
…environment and familiarity with healthcare data sources, SQL, Snowflake, and cloud environments such as Azure or AWS are highly valued. This leader will combine strong technical knowledge…
Added 9 hours ago
Senior Product Engineer, Internal Tools
CALPAK
Gardena, CA
…through implementation and user adoption, while managing a junior…
Added 10 hours ago
EU
Data Engineer
Experis USA
New Providence, NJ
- $70 to $74 USD / hour
Added 10 hours ago
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Sr Digital Solution Engineer - Cloud & AI Data
Microsoft
United States
- $106,400 to $222,600 USD / year
Expert on Microsoft Fabric including OneLake, Azure Databricks and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and…
Added 10 hours ago
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Data Engineer
Higgsfield
San Francisco, CA
- $200,000 to $260,000 USD / year
- Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift.

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.

Find open jobs More jobs with this employer

About employer

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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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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