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Seasonal Senior Data Engineer Jobs (NOW HIRING)

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

Coforge

Sr. Data Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

Job Title: Sr. Data Engineer Skills: Azure Data Factory, Databricks, Snowflake, Azure Devops Experience: 10+ years Location: Raleigh, NC (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. ...

Onebridge

Sr. Data Engineer - Databricks

$117K - $140K/yr

We have an exciting opportunity for a highly skilled Sr. Data Engineer - Databricks to join our innovative and dynamic team. Sr. Data Engineer - Databricks | About You As a Sr. Data Engineer ...

MD Anderson

Senior Data Engineer

Houston, TX · Remote

$123K - $154K/yr

The Senior Data Engineer plays a pivotal role in operationalizing critical data and analytics that support digital business initiatives, with a strong focus on data analytics and delivery through the ...

Maitsys

Senior Data Engineer

Brentwood, TN

$100K - $136K/yr

Senior Data Engineer @ Brentwood, TN (Onsite) We're looking for a Senior Data Engineer to join our Enterprise Data Engineering team. Ideal candidates will have 10+ years of Data Engineering ...

New

Guru Schools

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

Position Title * Sr Data Engineer Position Responsibilities Role: Senior Data Engineer Location: New York City (Onsite) Work Arrangement: Onsite Duration: Contract, potential for extension Key ...

Futran Tech Solutions Pvt. Ltd.

Sr Data Engineer

$117K - $140K/yr

Position: Sr Data Engineer Developer Location: Remote Years of Exp: 15+ years needed As an Sr Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new ...

Royal Caribbean Cruise Line

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Royal Caribbean Group

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

E-Solutions

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF Role Overview The Senior Data Engineer will design, build, and optimize scalable data pipelines and ...

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role Name: Sr. Data Engineer Location: Atlanta, GA Experience: 6-8+ Years Roles & Responsibilities: * Drive world-class design and development of analytical data pipelines. * Adhere to processes to ...

RIT Solutions, Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Senior Data Engineer Chicago, IL - Onsite- Need Local Senior Data Engineer We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data ...

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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 Jun 12, 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.
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What are the most commonly searched types of Senior Data Engineer jobs? The most popular types of Senior Data Engineer jobs are:
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Seasonal Senior Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT • On-site

$105K - $143K/yr

Full-time

Posted 16 days ago

Job description

NAVA Software solutions is looking for a Senior Data Engineer
Details:
Role: Senior Data Engineer
Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates
Duration: 6-12 months
What You Will Do:
The Senior Data Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Senior Data Engineer, among others, is Ownership & Accountability.
In addition to Delivery, the Senior Data Engineer should have an automation first and continuous improvement mindset. They should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Behaviors of a Full Stack Engineer:
Senior Data Engineer is able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineer - not institutionalized developers.
Key Characteristics and duties you will perform:
  • Analyze source data and data flows, working with structured and unstructured data.
  • Build data pipelines to extract, transform, crunch and store data in various target systems
  • Write reference-able & modular code
  • Design and architect the solution independently
  • Have a passion to learn, Take ownership and accountability
  • Deep desire for automation using devops practices and toolsets
  • Have a desire to simplify;be entrepreneurial / business minded

Skills and Experience You Will Need:
Mandatory:
  • 2+ years being part of Agile teams - Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 6+ years of working in an object-oriented language: Java or Scala and Python
  • 3+ years of working experience in Apache Spark, PySpark, Apache Airflow
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible
  • 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
  • 2+ years of working experience with operationalizing Machine learning models

Desired:
  • Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
  • Understanding and 1+ yrs of working experience with Deep learning frameworks

Skills/Certifications/Licenses:
  • Nice to have AWS solution architecture and developer certification
  • Nice to have data science and Machine learning certification from a reputed institution
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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