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Seasonal Senior Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

Irvine, CA · On-site

$113K - $154K/yr

Senior Data Engineer Location: Irvine, CA Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Apache Spark, Airflow/Astronomer, and ...

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior Data Engineer Overview: We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly ...

Senior Data Engineer

Plano, TX

$101K - $138K/yr

Senior Data Engineer - Hybrid Role A fast-growing and highly successful consumer financial services company based in Plano, TX 75024, is looking for a Senior Data Engineer to join their expanding ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Senior Data Engineer Overview: We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly ...

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer

Washington, DC · Hybrid

$119K - $162K/yr

Senior Data Engineer Position Type: Hybrid Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based services ...

Sr. Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Job Title: Sr. Data Engineer Location(s): Chicago, IL ( Hybrid) Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data ...

Senior Data Engineer

Dallas, TX · On-site +1

$105K - $143K/yr

Senior Data Engineer We're Watts. Together, we're reimagining the future of water. We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we ...

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data modeling and themovement of data from any disparate system ...

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Showing results 1-20

Seasonal Senior Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do seasonal senior data engineer jobs pay per year?

As of Jun 13, 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.

What are the key skills and qualifications needed to thrive as a Seasonal Senior Data Engineer, and why are they important?

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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially for those with expertise in cloud platforms and data pipeline tools.

What is the highest salary for a senior data engineer?

The highest salary for a senior data engineer can exceed $150,000 annually, especially in high-demand industries or tech hubs, with experienced professionals earning over $180,000 with advanced skills in cloud platforms, big data tools, and certifications. Compensation varies based on location, company size, and individual expertise.

What does a Seasonal Senior Data Engineer do?

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.

How does the workload and collaboration dynamic typically shift for a Seasonal Senior Data Engineer during peak project 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 engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like Spark, Hadoop, or cloud platforms can reach or exceed $500,000 in total compensation, especially in high-cost-of-living areas or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires years of specialized expertise and leadership responsibilities.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.
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:

$113K - $154K/yr

Full-time

Posted 9 days ago


Job description

Overview:
Job Title: Senior Data Engineer
Location: Irvine, CA
Job Type: Full-Time
Job Summary
We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Apache Spark, Airflow/Astronomer, and cloud-native data platforms. The ideal candidate will be responsible for designing, building, and supporting scalable data engineering solutions while ensuring platform reliability, performance, automation, and operational excellence.
This role requires hands-on engineering experience, strong DevOps capabilities, and the ability to independently own technical delivery in a highly collaborative engineering environment.
Required Skills
  • Strong expertise in:
    • Databricks
    • Apache Spark
    • Data Engineering
    • Platform Engineering
  • Hands-on experience with:
    • Airflow
    • Astronomer
    • DAG Design & Orchestration
  • Strong knowledge of:
    • Data Pipeline Architecture
    • Data Quality Frameworks
    • Scalability & Performance Optimization
  • Experience with:
    • CI/CD Pipelines
    • Infrastructure as Code (IaC)
    • Automation Frameworks
    • DevOps Best Practices
  • Strong platform administration experience including:
    • Monitoring
    • Reliability Engineering
    • Operational Readiness
    • Incident Management
  • Experience working with cloud-based data platforms
  • Strong problem-solving and troubleshooting skills
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and data processing frameworks
  • Build and optimize Databricks-based data engineering solutions
  • Perform Spark performance tuning and platform optimization
  • Develop and manage Airflow/Astronomer workflows and enterprise orchestration solutions
  • Implement data quality, monitoring, and reliability frameworks
  • Design and maintain CI/CD pipelines for data platform deployments
  • Automate infrastructure provisioning and operational processes using Infrastructure as Code
  • Ensure platform stability, availability, and operational excellence
  • Collaborate with architects, data engineers, DevOps teams, and business stakeholders
  • Troubleshoot and resolve complex platform and data engineering issues
  • Drive engineering best practices, standards, and continuous improvement initiatives
Preferred Qualifications
  • Experience supporting enterprise-scale data platforms
  • Knowledge of cloud-native architecture and distributed systems
  • Exposure to DataOps and Platform Engineering practices
  • Strong communication and stakeholder management skills