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Commission Cloud Data Engineer Jobs (NOW HIRING)

M&T Bank

Senior Cloud Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a senior-level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

State Street Global Advisors

Cloud Data Engineer, AVP

Boston, MA · On-site

$90K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS . You will collaborate with technology and business partners to modernize ...

State Street Corporation

Cloud Data Engineer, AVP

Boston, MA · On-site

$90K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS . You will collaborate with technology and business partners to modernize ...

State Street Corporation

Cloud Data Engineer, AVP

Boston, MA · On-site

$90K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS . You will collaborate with technology and business partners to modernize ...

M&T BANK CORPORATION

Senior Cloud Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a senior-level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

Superior Automotive

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Cloud Engineer will be a foundational hire to build our next generation data platform powering reporting, analytics, and AI use cases across our enterprise. This role will work to implement a ...

M&T Bank

Senior Cloud Data Engineer

Buffalo, NY · On-site +1

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a seniorlevel individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

NCL Bahamas Ltd.

Cloud Data Engineer

Miami, FL · On-site

$90 - $120/hr

Must maintain high data quality and security in cloud environments, automating tasks with Python ... This role focuses on the development and implementation of data engineering solutions that enhance ...

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Commission Cloud Data Engineer information

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How much do commission cloud data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for commission cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is a Commission Cloud Data Engineer?

A Commission Cloud Data Engineer is a technology professional who specializes in designing, building, and maintaining data systems in cloud environments, with a focus on managing commission-related data and processes. They work with cloud platforms like AWS, Azure, or Google Cloud to develop scalable and secure data pipelines, integrate various data sources, and ensure the accuracy and availability of commission data for analysis and reporting. Their work enables organizations to automate and optimize commission calculations and reporting, which is critical for sales-driven businesses. Additionally, they often collaborate with data analysts, software engineers, and business stakeholders to meet organizational data needs.

What are the key skills and qualifications needed to thrive as a Commission Cloud Data Engineer?

To excel as a Commission Cloud Data Engineer, you need expertise in data modeling, ETL processes, and strong programming skills in languages such as Python or SQL, often backed by a relevant degree in computer science or engineering. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), data warehousing solutions, and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication are critical soft skills for collaborating with cross-functional teams and stakeholders. These skills ensure efficient data integration, accurate analytics, and scalable cloud solutions that drive business insights and decision-making.

What are common challenges faced by Commission Cloud Data Engineers when integrating commission data from multiple sources?

As a Commission Cloud Data Engineer, one of the main challenges you'll encounter is integrating commission data from diverse systems such as CRM, ERP, and sales platforms, each with its own data structure and format. Ensuring data accuracy, consistency, and real-time synchronization across these sources requires robust ETL processes and strong data validation techniques. Additionally, you may face challenges related to maintaining data security and compliance, especially when handling sensitive compensation information. Collaboration with business analysts, sales operations, and IT teams is crucial to understand requirements and resolve data discrepancies efficiently.

What is the difference between Commission Cloud Data Engineer vs Salesforce Data Analyst?

AspectCommission Cloud Data EngineerSalesforce Data Analyst
Required CredentialsSQL, ETL, cloud platforms, data modelingSalesforce certifications, data analysis, SQL
Work EnvironmentData pipelines, cloud environments, technical teamsBusiness teams, reporting, dashboards
Employer & Industry UsageFinance, sales commissions, cloud data managementSales, marketing, customer insights
Common Search & ComparisonYesYes

The Commission Cloud Data Engineer focuses on building and maintaining data pipelines within cloud environments to support commission systems, requiring technical skills like SQL and data modeling. In contrast, the Salesforce Data Analyst primarily analyzes Salesforce data to generate reports and insights for business decisions. While both roles work with Salesforce data, the Data Engineer is more technical and infrastructure-focused, whereas the Data Analyst emphasizes data interpretation and visualization.

What cities are hiring for Commission Cloud Data Engineer jobs?

Cities with the most Commission Cloud Data Engineer job openings:

What are the most commonly searched types of Cloud Data Engineer jobs?

The most popular types of Cloud Data Engineer jobs are:

What states have the most Commission Cloud Data Engineer jobs?

States with the most job openings for Commission Cloud Data Engineer jobs include:

Commission Cloud Data Engineer jobs near you

Senior Cloud Data Engineer

M&T Bank

Buffalo, NY • On-site

$102K - $139K/yr

Full-time

Posted 28 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

80th of 171 rated banks

Job description

This role is four days onsite at our Seneca One Buffalo, NY location, with the flexibility to work from home one day per week
Overview:
The Senior Principal Cloud Data Engineer is a senior-level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This role provides deep technical leadership across cloud data architecture, platform engineering, and enablement, ensuring that enterprise data solutions are scalable, secure, and consistent with M&T's data and technology strategies.
The role partners closely with Enterprise Architecture and the Data organization to help define and drive the enterprise data strategy from a cloud platform perspective. In addition to influencing strategy, this role is accountable for owning and engineering the associated Azure-based data platform capabilities that enable analytics, reporting, and data-driven solutions across the enterprise.
The position operates primarily upstream of data solution delivery, focusing on platform standards, reusable capabilities, and architectural alignment while remaining grounded in hands-on engineering and real-world implementation.
Primary Responsibilities:
Enterprise Cloud Data Platform Leadership
  • Define and influence the architecture and engineering standards for enterprise cloud data platforms in Azure.
  • Serve as a senior technical authority for cloud data platform decisions, including trade-offs across scalability, security, performance, and cost.
  • Provide technical leadership for the evolution of shared data capabilities used by analytics, reporting, and application teams.

Data Strategy Partnership
  • Partner closely with Enterprise Architecture and the Data organization to: Help shape and refine the enterprise data strategy, Translate data strategy into actionable cloud platform capabilities, Ensure cloud data platform designs align with enterprise data models, governance standards, and long-term architectural direction.
  • Act as a technical bridge between data strategy and engineering execution.

Cloud Data Platform Engineering (Azure)
  • Own the design and build-out of core Azure-based data platform capabilities, including but not limited to: Data ingestion and integration patterns, Enterprise data storage and lakehouse architectures, Data processing and transformation platforms, Analytics and consumption enablement patterns
  • Establish opinionated, reusable platform components and reference implementations rather than one-off data solutions.
  • Ensure data platforms are built with automation, resilience, and security by design.

Standards, Patterns & Reference Architectures
  • Develop and maintain approved reference architectures and technical patterns for cloud-based data solutions.
  • Define standards for: Data pipelines and integration approaches, Storage, partitioning, and lifecycle management, Access control, encryption, and data protection, Monitoring, observability, and operational support
  • Ensure patterns are adoption-ready and consumable by delivery teams.

Engineering Enablement
  • Reduce delivery friction for data engineers and analytics teams by providing: Clear technical guidance, Reusable templates and frameworks, Platform-embedded controls and defaults
  • Promote consistency and reuse across data solutions while enabling appropriate flexibility for use-case-driven needs.
  • Influence adoption through engineering leadership rather than mandate.

Hands-On Technical Contribution
  • Remain actively engaged in: Architecture and design reviews, Proofs of concept and technical validations, Platform pilots and early-stage data initiatives
  • Validate that cloud data standards and platforms are practical, scalable, and operationally viable.
  • Provide technical mentorship to senior cloud and data engineers.

Cross-Functional Collaboration
  • Work in close partnership with: Enterprise and solution architecture, Data engineering, analytics, and governance teams, Cloud and infrastructure engineering, Security and risk management teams
  • Communicate data platform decisions and standards clearly to engineering leadership and senior technology stakeholders.
  • Ensure alignment between cloud platform capabilities and enterprise data objectives.

Scope of Responsibilities:
  • Senior individual contributor role with enterprise-level impact.
  • Direct accountability for the design and build-out of shared cloud data platform capabilities in Azure.
  • No direct people-management or budget ownership.
  • Success measured by:
    • Adoption of enterprise data platform capabilities
    • Reduction in bespoke or inconsistent data solutions
    • Improved scalability and reliability of data workloads
    • Alignment between data strategy and platform execution

Education and Experience Required:
Combined minimum of 8 years' higher education and/or work experience in systems design, management and/or architecture
Strong understanding of the system development and infrastructure lifecycle and architecture, vendor best practices, IT Service Management, and systems design
Education and Experience Preferred:
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Significant experience in data engineering or platform engineering roles
  • Demonstrated expertise in:
    • Azure data services and architectures
    • Cloud-based data integration and processing
    • Platform-engineering approaches for data solutions
    • Infrastructure as Code and automation
  • Experience operating in large-scale or regulated enterprise environments
  • Background in enterprise data platforms, analytics enablement, or data modernization
  • Familiarity with data governance, data quality, and operational data management practices

#LI-JB3 #Hybrid
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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