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Temporary Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

AWS Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

AWS Data Engineer

Atlanta, GA ยท On-site

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. 8+ years of experience in Data Engineer with AWS services like Simple Storage Service ...

Sr. AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US) Mode: Hybrid(3 day a week onsite) Employment type: Contract Role Summary We are seeking a highly skilled AWS Data ...

AWS Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.

AWS Data Engineer

$117K - $140K/yr

Job title: AWS Data Engineer Location: Remote * Proficiency in Redshift, Python, Glue - Key Skills that are mandatory. Should be very good in AWS Redshift. * Lambda function, step function ...

AWS Data Engineer

Dallas, TX ยท On-site

$60 - $65/hr

AWS Data Engineer Location: Dallas, TX (Hybrid - 3 days per week in-office) Interview Process: In-Person Interview Profiles Required: 8-12 Years of Experience Locals & Non-Locals Can Apply Core ...

AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background in designing, developing, and ...

AWS Data Engineer

Atlanta, GA ยท Remote

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. \n \n \n 8+ years of experience in Data Engineer with AWS services like Simple Storage ...

AWS Data Engineer

Greenwood Village, CO ยท On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

AWS Data Engineer

Irving, TX ยท On-site

$106K - $127K/yr

Tata Consultancy Services is seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ...

Lead AWS Data Engineer

Newark, NJ ยท On-site

$107K - $141K/yr

Lead /AWS Data Engineer Location: Newark, NJ (Hybrid) We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for ...

AWS Data Engineer/ Lead

Newark, NJ ยท On-site

$107K - $141K/yr

W2 Position AWS Data Engineer/ Lead Newark, NJ. 3 days /week hybrid work Long Term Contract We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical ...

AWS Data Engineer - w2

Reston, VA ยท On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration: Fulltime /Contract Onsite: 5 Days Onsite need only USC and GC Rate: 60/hr on W2 Seeking an AWS Data ...

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Temporary Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do temporary aws data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for temporary aws data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Temporary AWS Data Engineers during short-term projects?

Temporary AWS Data Engineers often need to quickly adapt to new environments and existing cloud architectures. A common challenge is understanding the organization's data pipelines and compliance requirements within a limited timeframe. They must efficiently collaborate with permanent team members and stakeholders to deliver solutions that integrate seamlessly into ongoing workflows. Time management and effective communication are crucial, as temporary roles require delivering high-impact results on tight deadlines while ensuring knowledge transfer for continuity.

What does a Temporary AWS Data Engineer do?

A Temporary AWS Data Engineer is a professional hired for a limited period to design, build, and maintain data pipelines and solutions using Amazon Web Services (AWS) technologies. They are responsible for managing data workflows, ensuring data quality, and optimizing data storage and processing in the cloud. Their tasks may include developing ETL processes, integrating data from multiple sources, and supporting analytics teams. Temporary roles often focus on specific projects or addressing short-term business needs, requiring strong AWS expertise and adaptability.

What is the difference between Temporary Aws Data Engineer vs Permanent Aws Data Engineer?

AspectTemporary Aws Data EngineerPermanent Aws Data Engineer
Employment TypeShort-term, project-basedFull-time, long-term
Certifications & SkillsSame certifications (AWS, data engineering skills)Same certifications (AWS, data engineering skills)
Work EnvironmentContract roles, often remote or on-sitePermanent roles, often on-site or hybrid
Job StabilityLimited duration, project-specificLong-term job security

Temporary Aws Data Engineers typically work on short-term projects with contract-based employment, while permanent Aws Data Engineers have ongoing roles with long-term stability. Both roles require similar skills and certifications, but differ mainly in employment duration and job security.

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

To thrive as a Temporary AWS Data Engineer, you need strong skills in data engineering, SQL, Python, and expertise in AWS cloud services such as Redshift, S3, and Lambda, often backed by a relevant degree or AWS certification. Familiarity with data pipeline tools like AWS Glue, ETL frameworks, and cloud monitoring systems is typically required. Attention to detail, problem-solving abilities, and the capacity to communicate technical ideas clearly are standout soft skills for this position. These competencies ensure efficient data processing, secure cloud operations, and effective collaboration in rapidly changing project environments.
What cities are hiring for Temporary Aws Data Engineer jobs? Cities with the most Temporary 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 Temporary Aws Data Engineer jobs? States with the most job openings for Temporary Aws Data Engineer jobs include:

AWS Data Engineer

Qode

CO โ€ข On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 12 days ago


Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
โ€ข Lead and support the delivery of data platform modernization projects.
โ€ข Design and develop robust and scalable data pipelines leveraging AWS native services.
โ€ข Optimize ETL processes, ensuring efficient data transformation.
โ€ข Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
โ€ข Design automations and integrations to resolve data inconsistencies and quality issues
โ€ข Perform system testing and validation to ensure successful integration and functionality.
โ€ข Implement security and compliance controls in the cloud environment.
โ€ข Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
โ€ข Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
โ€ข 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
โ€ข Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
โ€ข Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
โ€ข Experience with streaming and batch data pipeline/engineering architectures.
โ€ข Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
โ€ข Hands-on experience with Databricks and a willingness to grow capabilities.
โ€ข Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
โ€ข Strong problem-solving and analytical skills.
โ€ข Knowledge of Dataiku is needed
โ€ข Graduate/Post-Graduate degree in Computer Science or a related field.
โ€ข AWS S3 (data storage, export, recall)
โ€ข Athena (querying data lakes)
โ€ข Data pipelines (batch & near-real-time)
โ€ข Integration with external systems (FHIR)
โ€ข Secure data handling (KMS, Macie)
โ€ข Cloud-native analytics
โ€ข Multi-account, multi-region data architecture
โ€ข BI integrations: Power BI, Tableau, QuickSight