Senior Data Engineer: Cloud Pipelines & Snowflake

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

Job summary

M&T Bank is seeking an experienced data engineer to design, develop, test, deploy and support complex data pipelines and data products across cloud, warehouse, and lakehouse platforms. You will work with SQL, Python and modern data tools to deliver secure, scalable solutions and contribute to reusable engineering patterns.

You will collaborate with product owners and governance teams, implement data quality, metadata, lineage, and monitoring, and help optimize performance and costs while

Qualifications

• Strong SQL skills with complex transformations and analytic queries.
• Experience with Python or another general-purpose language for data engineering.
• Hands-on experience with Snowflake, Databricks or comparable cloud data platforms.
• Experience with ELT/ETL and transformation practices (dbt or equivalent).
• Experience with relational data stores and warehouse or lakehouse data-modeling concepts.
• Experience with distributed processing using Spark/PySpark or equivalent.
• Experience with Git-based source control, automated testing and CI/CD fundamentals.
• Experience with batch processing and knowledge of streaming/event-driven concepts.
• Knowledge of cloud/object storage concepts, preferably Azure.
• Experience with structured/semi-structured data formats (Parquet, JSON, CSV, Avro, XML).
• Experience with Linux/Unix environments and scripting.
• Ability to deliver complex data pipelines and data products within an architecture.

Responsibilities

• Design, develop, test, deploy and support complex data pipelines and products.
• Develop data-processing solutions using SQL and Python.
• Implement solutions using Snowflake, Databricks and dbt.
• Build data solutions across relational databases, cloud storage, and lakehouse architectures.
• Develop batch, micro-batch, CDC and streaming pipelines using Kafka or equivalents.
• Integrate data from diverse sources including mainframes, APIs, SaaS and files.
• Apply data-modeling techniques appropriate to analytical needs.
• Tune workloads for performance and cost; implement quality, metadata and monitoring controls.
• Build resilient pipelines with error handling, restartability and replay.
• Participate in production support and root-cause analysis; drive corrective actions.
• Utilize Git, automated tests and CI/CD in delivery processes.
• Develop reusable components and contribute to engineering standards.

Skills

SQL

Python

Snowflake

Databricks

dbt

Spark

Git

CI/CD

Linux

ETL

Iceberg

Kafka

Azure

Parquet

JSON

CSV

XML

Airflow

Terraform

Azure Data Factory

Education

Bachelor's degree

Associate’s degree

Tools

Snowflake

Databricks

dbt

Iceberg

Kafka

Airflow

Azure Data Factory

Terraform

Job description

M&T Bank is seeking an experienced data engineer to design, develop, test, deploy and support complex data pipelines and data products across cloud, warehouse, and lakehouse platforms. You will work with SQL, Python and modern data tools to deliver secure, scalable solutions and contribute to reusable engineering patterns.

You will collaborate with product owners and governance teams, implement data quality, metadata, lineage, and monitoring, and help optimize performance and costs while