E Commerce Data Engineer information
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$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do e commerce data engineer jobs pay per year?
As of Sep 11, 2026, the average yearly pay for e commerce data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
E Commerce Data Engineers are professionals who design, build, and manage the data infrastructure that supports online retail businesses. They are responsible for collecting, processing, and organizing large volumes of data from various sources such as websites, apps, and third-party platforms. Their work enables e-commerce companies to analyze customer behavior, track sales, optimize inventory, and personalize shopping experiences. By ensuring data is accurate and accessible, E Commerce Data Engineers play a crucial role in driving business decisions and improving overall efficiency.
To thrive as an E Commerce Data Engineer, you need strong expertise in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, GCP, Azure), and relevant certifications such as AWS Certified Data Analytics are highly valuable. Analytical thinking, problem-solving, and effective communication enable you to translate business needs into robust data solutions. These skills ensure the efficient handling, processing, and interpretation of vast e-commerce data, driving business insights and strategy.
E Commerce Data Engineers often work with data originating from various sources such as web analytics, CRM systems, payment gateways, and third-party marketplaces. A common challenge is ensuring seamless integration and consistency across these platforms, as data formats and quality can vary significantly. Managing real-time data flows and handling large volumes of transactional data require robust ETL pipelines and careful monitoring for data accuracy. Close collaboration with data analysts, software engineers, and business stakeholders is essential to align data integration with business objectives and optimize decision-making.
What cities are hiring for E Commerce Data Engineer jobs?
Cities with the most E Commerce Data Engineer job openings:
What are popular job titles related to E Commerce Data Engineer jobs?
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