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Seasonal Senior Data Engineer Jobs (NOW HIRING)

Senior Data Engineer LOCATION: Fort Eustis / Hybrid (3 days per week onsite) CLEARANCE: Secret or TS ABOUT US: Soliel is an innovative, premium engineering company specializing in providing ...

New

$110 - $165/hr

The Senior Data Engineer transforms data into a useful format for analysis and is focused on the design and architecture. A Senior Data Engineer is the data professional who prepares the data ...

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer Location: Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community ...

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

Boston, MA · On-site

$140 - $190/hr

The Senior Data Engineer will report to the Director of Data Engineering and will design and build scalable data solutions, working closely with operations teams, data analysts, and business ...

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

$108K - $147K/yr

Senior Data Engineer Location: Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community ...

Showing results 21-40

Seasonal Senior Data Engineer information

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$81K

$126.3K

$175K

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.

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.

What are the key skills and qualifications needed to thrive as a seasonal senior data engineer?

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 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 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:

Senior Data Engineer

Soliel LLC

Annapolis Junction, MD • On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Job description

Description:

Overview

JOB TITLE: Senior Data Engineer
LOCATION:  Fort Eustis / Hybrid (3 days per week onsite)
CLEARANCE: Secret or TS


ABOUT US:
Soliel is an innovative, premium engineering company specializing in providing Enterprise Architecture, Network Design, Engineering, and Operations Support, Software Design and Development, Data Center Design, Deployment and Migration, and Systems Engineering services for both public and private sectors.

Our Federal systems integration team manages the complexity inherent with technology change, from requirements planning to architecture, testing to deployment, and beyond. We also offer a complete range of industry-leading services, including architecture, systems development, information assurance, solution and platform integration, and program management, functional, and testing services.

Over the years, Soliel's team of technical experts has consistently delivered outstanding innovative solutions and services that meet or exceed customer expectations and satisfaction.


JOB DESCRIPTION:
We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines, data integration solutions, and data systems supporting analytics, reporting, and operational applications. The role requires strong hands-on technical skills and the ability to lead complex data engineering efforts, troubleshoot data and performance issues, and collaborate with architects, developers, DBAs, analysts, and visualization developers. The Senior Data Engineer will help develop reliable, analytics-ready datasets and data products that support reporting, visualization, and data-driven decision-making.


KEY RESPONSIBILITIES:

  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or other data integration tools.
  • Develop, optimize, and maintain relational and cloud-based databases (Azure SQL, Synapse, or similar) to support analytics and operational applications.
  • Implement data validation, cleansing, and transformation logic to ensure data accuracy, consistency, and completeness.
  • Monitor and tune database performance, including query optimization, indexing, and resource allocation.
  • Ensure data lineage, metadata tracking, and database documentation for audit and compliance purposes.
  • Collaborate with Data Architects and application developers to align database and pipeline design with business requirements.
  • Work closely with Senior DBAs to ensure database security, availability, and backup/recovery strategies.
  • Automate pipeline and database deployment using CI/CD practices and infrastructure-as-code.
  • Troubleshoot and resolve pipeline failures, data inconsistencies, and database performance or integration issues..

REQUIRED SKILLS:

  • CompTIA Security+ certification
  • Bachelor’s or higher in Engineering, Science, or IT.
  • 5+ years of experience in data engineering, database development, or ETL/ELT development required.
  • Proficiency in SQL, Python, or Scala for data transformation.
  • Experience with relational database design, indexing, partitioning, and query optimization.
  • Knowledge of data quality, validation frameworks, and data governance principles.
  • Understanding of DoD security and compliance requirements for data handling.
  • PREFERRED SKILLS:
  • Certification in Microsoft Azure Data Engineering or Azure Database Administrator.
  • Experience with Databricks, Spark, or big data processing.
  • Familiarity with metadata management, data cataloging, or data lineage tools.
  • Experience with performance tuning, backup/recovery, and high-availability database architectures.

COMPENSATION:

  • Salary: $110,000-120,000 (flexible based on experience) 
  • Major medical, dental, and vision
  • Paid holidays
  • Paid Time Off (PTO)
Requirements: