Senior Data Engineer: Cloud Pipelines & Lakehouse Expert

M&T Bank; Buffalo (NY); On-site; USD 97,000 - 162,000; Full time

Job summary

M&T Bank is seeking a skilled Data Engineer to design, develop, test, deploy and support complex data pipelines and products across cloud, warehouse and lakehouse platforms. You will implement scalable data solutions using SQL, Python, Snowflake, Databricks and dbt, while ensuring data quality, lineage and monitoring.

Collaborating with product owners, architects and governance teams, you will deliver secure, cost-conscious data engineering patterns and reusable components within an Agile

Qualifications

• Strong SQL skills with complex transformations.
• Experience with Python for data engineering.
• Hands-on Snowflake and Databricks experience.
• Experience with ELT/ETL and dbt.
• Experience with Spark/PySpark.
• Knowledge of Git, automated testing and CI/CD.

Responsibilities

• Design, develop, test, deploy and support complex production data pipelines and data products.
• Develop maintainable data-processing solutions using SQL and Python.
• Implement data solutions on Snowflake, Databricks and related platforms.
• Build data solutions across lakehouse architectures and open table formats.
• Create batch, streaming and CDC pipelines with enterprise patterns.
• Integrate data from diverse sources including APIs and files.
• Apply dimensional and denormalized data modeling techniques.
• Tune workloads for performance and cost.
• Implement data quality, lineage, and monitoring controls.
• Collaborate with product owners and governance teams.

Skills

SQL

Python

Data modeling

Distributed processing

Agile practices

Education

Bachelor's degree

Associate’s degree

Tools

Snowflake

Databricks

dbt

Apache Kafka

Git

CI/CD

Apache Airflow

Azure Data Factory

Iceberg

Job description

M&T Bank is seeking a skilled Data Engineer to design, develop, test, deploy and support complex data pipelines and products across cloud, warehouse and lakehouse platforms. You will implement scalable data solutions using SQL, Python, Snowflake, Databricks and dbt, while ensuring data quality, lineage and monitoring.

Collaborating with product owners, architects and governance teams, you will deliver secure, cost-conscious data engineering patterns and reusable components within an Agile