Hybrid Data Engineer: Pipelines, ETL & Analytics

M&T Bank

Buffalo (AL)

Hybrid

USD 81,000 - 135,000

Full time

8 days ago
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Job summary

M&T Bank in Buffalo, NY is seeking a Data Engineer to design, develop, and optimize data pipelines and analytics solutions that support operational reporting, regulatory compliance, and technology decision-making. You will collaborate with technology management, engineers, and business partners to implement ETL processes, data models, and dashboards, while upholding data governance and best practices.

This role requires strong problem solving, communication, and the ability to work across teams

Qualifications

  • 5+ years of higher education and/or work experience in systems design, management and/or architecture
  • Experience with Python, SQL, Java; data querying using relational databases
  • Understanding of ETL, data transformation, and data quality practices

Responsibilities

  • Design, develop, maintain, and enhance data pipelines, ETL processes, and reporting solutions.
  • Develop and support integrations with internal and external data sources via APIs, databases, and file exchanges.
  • Translate business needs into technical data solutions by collaborating with partners.
  • Create and improve data models, data quality controls, and transformation processes.
  • Support dashboards, analytics products, and enterprise reporting tools.
  • Troubleshoot data issues and optimize pipeline performance with senior engineers.
  • Promote data governance, coding standards, and risk/compliance awareness.

Skills

Python
SQL
Java
Data modeling
Data quality

Education

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or related field

Tools

Power BI
APIs
Containers

Job description

M&T Bank in Buffalo, NY is seeking a Data Engineer to design, develop, and optimize data pipelines and analytics solutions that support operational reporting, regulatory compliance, and technology decision-making. You will collaborate with technology management, engineers, and business partners to implement ETL processes, data models, and dashboards, while upholding data governance and best practices.

This role requires strong problem solving, communication, and the ability to work across teams

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