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Commission Cloud Data Engineer Jobs (NOW HIRING)

Senior Cloud Data Engineer

Tampa, FL ยท Remote

$108K - $147K/yr

Senior Cloud Data Engineer JOB CODE: SCDE REPORTS TO: Lead Cloud Data Engineer FLSA STATUS: Exempt EMPLOYMENT TYPE: Full-Time JOB PURPOSE: This role at Arbitration Forums is as unique as it is ...

Cloud Data Engineer

San Jose, CA ยท On-site

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud ...

Cloud Data Engineer

Santa Rosa, CA ยท On-site

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Cloud Data Engineer

Nottingham, MD ยท On-site

$116K - $139K/yr

Cloud Data Engineer Nottingham, Maryland(Hybrid, 2 3 days on-site / week) Phone + SKype Visa : USC only Design, develop, enhance, and integrate an enterprise data warehouse and support AWS cloud ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

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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 Jul 13, 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 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.

Can I make 200K as a data engineer?

Commission Cloud Data Engineers with extensive experience, advanced skills in cloud platforms like AWS or Azure, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries of $200,000 or more annually. Salary levels depend on factors like location, industry, and company size, with senior roles and specialized expertise commanding higher compensation.

How much do cloud data engineers make?

Cloud data engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like AWS, Azure, or GCP can command higher salaries, especially in competitive markets.

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 some 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 are the key skills and qualifications needed to thrive as a Commission Cloud Data Engineer, and why are they important?

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 engineer makes $500,000 a year?

Highly experienced data engineers, including those working with cloud platforms like Commission Cloud, can earn $500,000 or more annually, especially with senior roles, specialized skills, and in high-demand industries. Achieving this level often requires advanced expertise in data architecture, cloud services, and certifications, along with significant industry experience.

Is there still a demand for cloud engineers?

Yes, demand for cloud engineers remains high as organizations continue to migrate infrastructure to cloud platforms like AWS, Azure, and Google Cloud. Cloud Data Engineers with skills in data pipelines, cloud architecture, and tools such as SQL, Python, and cloud-specific services are especially sought after in the industry.
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:
Senior Cloud Data Engineer

Senior Cloud Data Engineer

Arbitration Forums Inc.

Tampa, FL โ€ข Remote

$108K - $147K/yr

Full-time

Re-posted 14 hours ago


Job description

DEPARTMENT: Data Insights and Innovation

JOB TITLE: Senior Cloud Data Engineer

JOB CODE: SCDE

REPORTS TO: Lead Cloud Data Engineer

FLSA STATUS: Exempt

EMPLOYMENT TYPE: Full-Time

JOB PURPOSE:

This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).

The Senior Cloud Data Engineer will be responsible for designing, developing, and implementing robust, scalable, and secure data pipelines for modern cloud platforms to support analytics and AI/ML needs at Arbitration Forums, Inc. This role will streamline data acquisition from different data sources and set up processes to ensure data quality and data security.

DEPARTMENTAL EXPECTATION OF EMPLOYEE

  • Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model
  • Acts as a role model within and outside AF.
  • Performs duties as workload necessitates.
  • Maintains a positive and respectful attitude.
  • Communicates regularly with the departmental leader about department issues.
  • Demonstrates flexible and efficient time management and ability to prioritize workload.
  • Consistently reports to work on time, prepared to perform duties of the position.
  • Meets Department productivity standards.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Engineering & Pipeline Development:

  • Design, develop, and implement robust, scalable, and secure data pipelines in a cloud environment.
  • Build and manage ETL/ELT processes to efficiently move and transform large datasets from multiple data sources.
  • Implement secure data access, encryption, and data masking policies.
  • Develop automated processes to validate data quality and data accuracy.
  • Document and maintain data workflows and diagrams.
  • Work with data scientists and AI specialists to automate model deployment lifecycles (MLOps).

Data pipeline/warehouse management

  • Configure and maintain cloud-based data warehousing solutions.
  • Optimize data warehouse storage strategies to support analytics and data science needs.
  • Set up monitoring tools and alerts to maintain data warehouse availability and reliability.
  • Troubleshoot, profile, and optimize data pipelines for performance issues to minimize latency.

Collaboration

  • Work closely with data architects, data analysts and data scientists to understand their data needs and translate them into technical designs.
  • Mentor and guide junior data engineers, perform code reviews, and establish best practices for could data engineering.
  • Collaborate with DevOps and ITOps to implement CI/CD pipelines and robust DR strategies.

QUALIFICATIONS

  • Bachelorโ€™s degree in computer science, Computer Engineering, Information Systems, or a related field.
  • 7+ years of experience in data engineering with a focus on cloud data engineering.

Technical Skills:

  • Profound understanding of major cloud platforms (AWS, GCP, Azure) and major cloud data platforms like Snowflake and Databricks.
  • Hands-on experience with data services offered by cloud platforms.
  • Expertise in programming languages such as Python, Java, or Scala with strong SQL skills.
  • Experience with ETL/ELT tools like Talend, DBT, Azure Data Factory, etc.
  • Experience with CI/CD tools like GitLab/GitHub.
  • Strong knowledge of data governance, data security, and compliance practices.
  • Experience supporting data science and machine learning operations.
  • Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).

Soft Skills:

  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills to collaborate with cross-functional teams.
  • Auto Insurance claims industry experience preferred.

AMERICANS WITH DISABILITY SPECIFICATIONS

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

WORK ENVIRONMENT

This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.