Seasonal Senior Data Engineer information
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$89.5K - $98.1K
9% of jobs
$105.9K is the 25th percentile. Wages below this are outliers.
$98.1K - $106.6K
11% of jobs
$106.6K - $115.2K
13% of jobs
The median wage is $121.4K / yr.
$115.2K - $123.7K
16% of jobs
$123.7K - $132.3K
11% of jobs
$140K is the 75th percentile. Wages above this are outliers.
$132.3K - $140.8K
10% of jobs
$140.8K - $149.4K
9% of jobs
$149.4K - $157.9K
6% of jobs
$157.9K - $166.5K
5% of jobs
$166.5K - $175K
3% of jobs
How much do seasonal senior data engineer jobs pay per year?
As of Sep 5, 2026, the average yearly pay for seasonal senior data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.
A Seasonal Senior Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures during peak business periods, such as holidays or special projects. They ensure data is collected, processed, and made available efficiently for analysis and reporting. Their work often involves collaborating with data analysts, scientists, and other engineers to optimize data flow and storage. The 'seasonal' aspect means this role is typically temporary, focused on times of increased data needs.
To thrive as a Seasonal Senior Data Engineer, you need advanced expertise in data modeling, ETL processes, and programming languages such as Python or Scala, typically supported by a bachelor’s or master’s degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms (AWS, GCP, or Azure), as well as experience with data warehousing solutions and relevant certifications, is often required. Strong problem-solving skills, effective communication, and the ability to adapt quickly to changing project demands distinguish top performers in this role. These skills and qualities are crucial for delivering timely, scalable data solutions during high-demand seasonal periods.
As a Seasonal Senior Data Engineer, you can expect workload to intensify during peak periods, such as major product launches or end-of-quarter reporting cycles. During these times, you'll often collaborate closely with data scientists, analysts, and cross-functional teams to ensure data pipelines are robust and deliver insights on tight deadlines. Effective communication and prioritization are crucial, as you'll be relied upon to mentor junior engineers and troubleshoot complex data issues quickly. While the seasonal nature means the role can be fast-paced, it also provides valuable exposure to high-impact projects and the opportunity to demonstrate leadership in a condensed timeframe.
What cities are hiring for Seasonal Senior Data Engineer jobs?
Cities with the most Seasonal Senior Data Engineer job openings:
What are the most commonly searched types of Senior Data Engineer jobs?
The most popular types of Senior Data Engineer jobs are:
What states have the most Seasonal Senior Data Engineer jobs?
States with the most job openings for Seasonal Senior Data Engineer jobs include: