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Seasonal Aws Data Engineer Jobs (NOW HIRING)

Lead AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Lead AWS Data Engineer Location: Newark, NJ (Hybrid) Domain: Banking or Insurance Job Summary: We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal ...

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer- AWS & Streaming Location: Fort Mill SC (OR) Charlotte, NC (OR) New York, NY (2-3 Days Hybrid) Experience level - 10- 15 Years Role Summary: We are seeking a Mid-Senior Data Engineer ...

AWS Data Engineer Lead

Plano, TX · On-site

$110K - $132K/yr

AWS Lead Data Engineer Location: Pennsylvania / North Carolina / Texas (Hybrid 3 Days Onsite) Duration: 14 Months Required Skills 12+ years of experience in AWS Data Engineering and Big Data ...

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to Corp***** JD Design and Development: Design, develop, and implement data pipelines using AWS services such as ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location : Seattle,WA Duration: Fulltime Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift ...

Posted today

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location : Seattle,WA Duration: Fulltime Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift ...

Posted today

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Job Title : Sr. AWS Data Engineer Exp : 9+ Years Location : Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding ...

Senior AWS Data Engineer

Newark, NJ · Remote

$110K - $150K/yr

Job Title: Senior AWS Data Engineer Location: Newark, NJ / Remote Duration: 12 months Visa: USC or GC Skills Required: AWS, Machine Learning, Gen AI, Agentic AI, LLM, MLOps, SageMaker, AWS ...

Posted today

Senior AWS Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

Senior AWS Data Engineer Work Location: NYC,NY/Newark, New Jersey 07068 Long Term Contract If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good ...

AWS Data Engineer (Associate)

$117K - $140K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data products that enhance decision-making and ensure high data quality. Responsibilities : • Write ...

Senior AWS Data Engineer

Newark, NJ · Remote

$110K - $150K/yr

Job Title: Senior AWS Data Engineer Location: Newark, NJ / Remote Duration: 12 months Visa: USC or GC Skills Required: AWS, Machine Learning, Gen AI, Agentic AI, LLM, MLOps, SageMaker, AWS ...

Posted today

AWS Data Engineer

Albany, NY · On-site

$113K - $136K/yr

Mindlance is seeking an AWS Data Engineer to support the development of a cloud analytics environment within Medicaid Enterprise Systems. The role involves data ingestion, cleaning, and analysis to ...

AWS Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

... data engineering experience building and supporting production data pipelines. * 4+ years of coding/scripting experience with Python and PostgreSQL * Experience on AWS (e.g., S3, Glue, Redshift ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Job Title : Sr. AWS Data Engineer Exp : 9+ Years Location : Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding ...

Showing results 41-60

Seasonal Aws Data Engineer information

See salary details

$15

$62

$88

How much do seasonal aws data engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for seasonal aws data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a seasonal AWS data engineer?

A Seasonal AWS Data Engineer is a data engineering professional hired on a temporary or contract basis to work with Amazon Web Services (AWS) cloud technologies. Their main responsibilities include designing, building, and managing data pipelines, databases, and cloud-based analytics solutions during peak project periods or busy seasons. They often work with tools such as AWS Glue, Redshift, S3, and Lambda to handle large volumes of data efficiently. This role is ideal for organizations that need extra support during specific times of the year, such as holiday sales, tax season, or major product launches.

What are the key skills and qualifications needed to thrive as a seasonal AWS data engineer, and why are they important?

To thrive as a Seasonal AWS Data Engineer, you need strong programming skills in languages such as Python or Java, expertise in data modeling, and experience with cloud-based data solutions, typically supported by a relevant degree or certification. Proficiency in AWS services like Redshift, S3, Glue, Lambda, and using tools such as SQL and ETL frameworks is essential. Excellent problem-solving skills, adaptability, and effective communication help you work efficiently with cross-functional teams and handle dynamic project requirements. These skills and qualities are crucial for building scalable, reliable data pipelines and ensuring timely project delivery in a fast-paced seasonal environment.

What is the difference between Seasonal Aws Data Engineer vs Aws Data Engineer?

AspectSeasonal Aws Data EngineerAws Data Engineer
CredentialsTypically requires AWS certifications, data engineering skills, and sometimes seasonal or project-based experienceRequires AWS certifications, advanced data engineering skills, and often full-time employment
Work EnvironmentTemporary or project-based roles, often in industries with seasonal demand like retail or tourismFull-time roles in various industries, including finance, healthcare, and tech
Employer & Industry UsageEmployers seek seasonal data engineers for short-term projects during peak seasonsEmployers hire for ongoing data infrastructure needs

The main difference is that Seasonal Aws Data Engineers work on short-term, project-based roles during specific seasons, while Aws Data Engineers typically hold full-time positions focused on continuous data infrastructure management.

What are the main challenges faced by seasonal AWS data engineers during peak project periods?

Seasonal AWS Data Engineers often encounter challenges such as quickly ramping up on unfamiliar projects, adapting to varying data architectures, and managing tight deadlines during periods of high demand. Collaboration with cross-functional teams is essential, as they must efficiently communicate with data scientists, analysts, and DevOps engineers to ensure seamless data pipeline delivery. Additionally, they must stay up-to-date with AWS best practices, maintain data security, and troubleshoot issues in real time to support business objectives within the limited seasonal timeframe.
What cities are hiring for Seasonal Aws Data Engineer jobs? Cities with the most Seasonal Aws Data Engineer job openings:
What are the most commonly searched types of Aws Data Engineer jobs? The most popular types of Aws Data Engineer jobs are:
What states have the most Seasonal Aws Data Engineer jobs? States with the most job openings for Seasonal Aws Data Engineer jobs include:

Lead AWS Data Engineer

Arkhya Tech

Newark, NJ • On-site

$119K - $143K/yr

Other

Posted 11 days ago


Job description

Role: Lead AWS Data Engineer

Location: Newark, NJ (Hybrid)

Domain: Banking or Insurance

Job Summary:
We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.

Key Responsibilities:

  • Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.
  • Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
  • Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.
  • Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.
  • Participate in the architecture and system design discussions for high-scale data engineering projects.
  • Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.
  • Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.
  • Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.
  • Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
  • Architect and implement CI/CD strategies for enterprise data platforms.
  • Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.
  • Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.
  • Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
  • 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
  • Strong programming experience with Python, Shell scripting, and SQL.
  • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
  • Experience in serverless application development and data pipeline orchestration.
  • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
  • Knowledge of ETL/ELT, data modeling, and big data technologies.
  • Familiarity with data warehousing concepts and cloud-based architecture.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with additional AWS services: API Gateway, ElasticSearch, SQS.
  • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with DevOps practices and CI/CD pipelines.
  • Experience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka).
  • AWS Solutions Architect or AWS Developer Certification preferred.
  • Understanding of Lakehouse/data cloud architecture.
  • Knowledge of data governance and compliance standards.