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Commission Cloud Data Engineer Jobs (NOW HIRING)

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 ...

NorthShore

Cloud Data Engineer - Snowflake

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer - Snowflake * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud ...

Endeavor Health

Cloud Data Engineer - Snowflake

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer - Snowflake * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

... Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP) . This is ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

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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 10, 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:
Commission Cloud Data Engineer jobs near you
Cloud Data Engineer

Cloud Data Engineer

CSpring

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 10 days ago

Job description

Description

At CSpring, we partner with public and private sector organizations to turn complex data into decisions that improve real lives across Indiana and beyond. 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 easier for everyone who comes after you to build reliable, scalable data solutions - so good engineering becomes the default, not the exception.


Why You'll Love Working Here

  • You'll do work that matters. The pipelines and datasets you build directly support programs that serve real people, not abstract business metrics.
  • You'll grow technically. We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things.
  • You'll join a team that's warm and grounded. People here help each other, share what they know, and take pride in leaving the codebase better than they found it.
  • You'll have real ownership. You won't be a cog filing tickets - you'll own meaningful parts of the platform and see your decisions shape how it evolves.
  • You'll be set up to succeed. We believe in sound patterns and good defaults so that doing the right thing is also the easy thing.

What You'll Do
You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform.

  • Design, implement, and maintain reliable Azure-based data pipelines that support analytics, AI/ML, and enterprise integration use cases.
  • Actively contribute code across the data platform - developing pipelines, writing transformations, optimizing SQL, and supporting production workloads.
  • Own specific areas of the platform - pipelines, datasets, transformations, or integrations - ensuring quality, performance, and maintainability.
  • Apply established patterns, frameworks, and standards to reinforce consistency and quality across the platform.
  • Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
  • Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
  • Contribute to CI/CD practices, testing, monitoring, and operational readiness for pipelines and the consumers downstream of them.
  • Help reinforce sound engineering patterns through your day-to-day work, so teammates "fall into the pit of success" when building on Azure.


Requirements

  • 4+ years of hands-on experience engineering data pipelines and data platforms.
  • Demonstrated experience building and maintaining cloud-based data solutions in Azure (or comparable cloud environments).
  • Practical, hands-on exposure to data lakes, data marts, and data warehouses; data pipelines and orchestration; and modern ELT/ETL patterns.
  • Strong coding ability using modern data engineering tools and frameworks.
  • Solid SQL skills for data transformation, optimization, and downstream consumption.
  • Clear communication skills and the ability to collaborate effectively within cross-functional teams.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience.
  • Located in or around Indianapolis, IN.

Bonus Experience

  • Azure certifications (e.g., Azure Data Engineer / DP-203) or equivalent cloud credentials.
  • Experience with CI/CD pipelines for data platforms.
  • Familiarity with Agile delivery and iterative development practices.
  • Exposure to streaming, near-real-time data, or observability/monitoring for data systems.
  • A genuine interest in continuous learning and technical growth within data engineering.

If you want to write high-quality code, own real parts of a modern Azure platform, and do it in service of work that matters, we'd love to meet you. Apply today!

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