Customer Data Engineer

M&T Bank

SQL Developer optimizing and maintaining data models for M&T's Customer Data Platform. Collaborating with data engineering and marketing teams to support customer engagement initiatives.

Posted 5/19/2026full-timeBuffalo • New York • 🇺🇸 United StatesMid-LevelSenior💰 $85,800 - $143,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAzureBigQueryETLSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable, high-performance data models supporting a Customer Data Platform
Build and optimize complex SQL queries, views, and data transformations
Develop and manage customer-centric data structures (profiles, events, identity resolution models)
Integrate and harmonize data from multiple sources (CRM, web, mobile, transactional, marketing platforms)
Support and enhance Customer 360 data models, enabling segmentation and personalization use cases for users of the platform
Collaborate with stakeholders to translate business requirements into efficient, scalable data solutions
Monitor and improve data quality, integrity, and consistency across the CDP ecosystem
Implement and maintain ETL/ELT pipelines to support data ingestion and transformation
Troubleshoot and resolve data discrepancies and performance issues
Document data models, schemas, and lineage for governance and transparency
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite
Identify risk-related issues needing escalation to management
Promote an environment that supports belonging and reflects the M&T Bank brand
Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.

Requirements

What you’ll need

Bachelor’s degree and a minimum of 3 years related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
Knowledge of relational databases
Knowledge of the types of issues data can have
Basic knowledge of data management
Intermediate skills in Structured Query Language (SQL)
Basic knowledge of statistics, data science techniques and tools
Strong experience with data modeling (relational and dimensional models)
Hands-on experience with modern data warehouse platforms (e.g., Snowflake, Redshift, BigQuery, Azure Synapse)
Experience developing and maintaining ETL/ELT pipelines
Solid understanding of data integration and transformation best practices
Experience working with large-scale datasets and optimizing performance
Strong problem-solving and analytical skills.

Benefits

Comp & perks

Medical insurance
Retirement plans
Paid volunteer time

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingETLELTdata integrationdata transformationdata qualitydata managementstatisticsdata science

Soft Skills

problem-solvinganalytical skillscollaborationcommunicationstakeholder management