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Commission Cloud Data Engineer Jobs (NOW HIRING)

Algorhythm

$111K - $133K/yr

As a Cloud Data Engineer, you are a valuable addition to our team. You are the point of contact for colleagues with less experience and are ready to support the further development of one of our ...

Purple Drive

Alibaba Cloud Data Engineer

Sunnyvale, CA · On-site

$63.25 - $84.50/hr

Experience with real-time data streaming (Kafka, Flink, etc.) and data analytics (Spark, Airflow). * Knowledge of cloud networking and security on Alicloud. * Exposure to DevOps practices (Terraform ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications while collaborating with data scientists to design, build, and maintain data pipelines and services.

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

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 ...

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 ...

Superior Automotive

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

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 ...

NCL Bahamas Ltd.

Cloud Data Engineer

Miami, FL · On-site

$109K - $131K/yr

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 ...

TEKsystems

Cloud Data Engineer

Dallas, TX · On-site

$130K - $140K/yr

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

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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 Sep 11, 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:

What are popular job titles related to Commission Cloud Data Engineer jobs?

For Commission Cloud Data Engineer jobs, the most frequently searched job titles are:

Commission Cloud Data Engineer jobs near you

Cloud Data Engineer

Miami, FL • On-site

Norwegian Cruise Line Holdings Ltd
Traveler Accommodation • 10K+ employees
Learn more about Norwegian Cruise Line Holdings Ltdexternal

$53.25 - $71.25/hr

Full-time

Re-posted 16 days ago

Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.

JOB SUMMARY

Responsible for designing and implementing robust data pipelines. Must maintain high data quality and security in cloud environments, automating tasks with Python and Bash scripting, and continuously research new technologies to enhance scalability. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems.

DUTIES & RESPONSIBILITIES

  • Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses.
  • Develop and maintain ETL processes using tools such as Fivetran, Matillion, SSIS, SSAS, SSRS and Snowflake Dataflow on AWS.
  • Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies.
  • Build and maintain data processing infrastructure on cloud platforms such as AWS.
  • Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting.
  • Manage and lead Complex System Design, Integration and Development.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
  • Implement security and access controls to protect sensitive data in cloud-based environments.
  • Automate data processing tasks using scripting languages such as Python or Bash
  • Research and evaluate new technologies and tools to improve data processing efficiency and scalability.
  • Mentor and train junior data engineers and provide technical guidance to cross-functional teams.
  • Perform other job-related functions as assigned.

QUALIFICATIONS

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Computer Science, Engineering or related field

EXPERIENCE

  • Minimum of 4 years' experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
  • Experience in data engineering with a focus on data warehousing and legacy systems.
  • Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.

COMPETENCIES/SKILLS

  • Good understanding of OLAP Cubes, Dimensional model.
  • Ability to lead and coach team members.
  • Strong communication skills and stakeholder engagement abilities; driving results through innovation, process improvement and creativity.
  • Able to prioritize and execute tasks in a high-pressure, fast-paced environment.
  • Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills.
  • Experienced with collaboration tools (Jira, Confluence, Lucid Chart;).
  • Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.
  • Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS.
  • Excellent understanding of Windows, and Linux based infrastructure.
  • Working knowledge of various tools, open-source technologies, and cloud services

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line, Oceania Cruises and Regent Seven Seas Cruises brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises

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EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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