6 data visualization developer jobs at 4 companies in Tonawanda, NY
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Data Engineer I - ETL Pipeline
Toronto, Ontario, Canada
OnsiteFull Time
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
5+ YOE5+ years data warehousing experience, 2+ years with Azure Data Lake ingestion/curation; experience with Azure Databricks, Azure Data Factory, Python, CI/CD (Git Hub, Jenkins, Azure Pipelines), and data visualization tools.
Azure Data Bricks, Azure Data Factory, Python, Microsoft SQL Server, Git Hub, Jenkins, Azure Pipelines, Power BI, Tableau, JIRA
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
8+ YOE8+ years frontend/fullstack experience (3+ years in senior/lead capacity), deep expertise with modern frontend frameworks (React, Next.js), data visualization, design systems, backend integration (Node.js/Python/Go), and frontend testing.
KeyBankNYSE: KEY: Provides retail, commercial, and investment banking products and services.
5+ YOE5+ years experience in consumer lending and credit risk, bachelor's degree or equivalent, decision strategy development, credit bureau analysis, test planning, data visualization, and stakeholder communication. Working knowledge of SAS, Python, and Tableau.
SAS, Python, Tableau, Microsoft Excel, Microsoft PowerPoint
Credit Model Development Quantitative Analyst I- HELOC & Residential Mortgage (Hybrid - see description for potential locations)
Buffalo or Washington or Baltimore or Iselin or Wilmington or New York City or Bridgeport
$62k-$104k/yrHybridFull Time
M&T BankNYSE: MTB: Provides retail, commercial, and institutional banking and trust services.
1+ YOEBachelor's (or equivalent) and 1+ years quantitative or data experience; SQL and statistical programming (SAS, Stata, R, Python); econometric/statistical techniques; strong communication and data visualization skills.
2+ YOEBachelor's or equivalent experience and minimum 2 years quantitative behavioral model development experience, Python and SQL proficiency, logistic regression and econometric techniques, strong communication and data visualization skills.