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Temporary Amazon Data Engineer Jobs in Illinois (NOW HIRING)

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines ... Amazon Web Services (AWS) * Google Cloud Platform (GCP) Preferred Skills * Snowflake * Delta Lake

Beghou Consulting

Data Engineer

Evanston, IL

$109K - $132K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ... Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or ...

IGT

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

Progressive Gaming

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Expertise in leading cloud technologies like Amazon Web Services * Ability to communicate technical ... Data Engineer, Senior Data Engineer, Database Engineer, Data Architect, Senior Data Architect

Epsilon

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Publicis Groupe Holdings B.V

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Pwc

Data Engineer - Manager

Rosemont, IL

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Amazon

Tech Ops Engineer II - AMZ26688.4

Chicago, IL · On-site

$124K - $183K/yr

Amazon Data Services, Inc. Position: Tech Ops Engineer II - AMZ26688.4 Location: Chicago, IL Multiple Positions Available: 1. Utilize tools and templates for bid analysis and cost management. 2. ...

Pwc

Data Engineer - Manager

Chicago, IL

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Deloitte

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... Utilizing your skills in engineering best practices to solve complex data problems * Collaborating ...

Pwc

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

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All JobsAmazon Data Engineer JobsTemporary Amazon Data Engineer JobsTemporary Amazon Data Engineer Jobs in Illinois

Temporary Amazon Data Engineer information

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000. Compensation can also include bonuses and stock options.

Does Amazon have temporary jobs?

Amazon offers temporary jobs, including roles such as data engineers, which are often project-based or seasonal. These positions may require specific skills like data management and familiarity with cloud tools, and they typically have flexible schedules depending on the role and business needs.

What engineer makes $500,000 a year?

Senior data engineers or specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Such roles often involve leadership responsibilities, complex data architecture, and working with large-scale systems.

Will Amazon pay you $28 an hour to work from home?

The pay rate for a Temporary Amazon Data Engineer can vary based on location, experience, and project requirements. While some data engineering roles at Amazon may offer around $28 an hour, actual compensation depends on the specific position and employment terms. Remote data engineering jobs often require skills in SQL, Python, and cloud platforms like AWS.

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

What are some common challenges Temporary Amazon Data Engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

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

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What does a Temporary Amazon Data Engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.
What are the most commonly searched types of Amazon Data Engineer jobs in Illinois? The most popular types of Amazon Data Engineer jobs in Illinois are:
What are popular job titles related to Temporary Amazon Data Engineer jobs in Illinois? For Temporary Amazon Data Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Temporary Amazon Data Engineer jobs in Illinois look for? The top searched job categories for Temporary Amazon Data Engineer jobs in Illinois are:
Temporary Amazon Data Engineer jobs near you

Data Engineer

PROLIM Global Corporation

Peoria, IL • On-site

$112K - $135K/yr

Full-time

Posted 22 days ago

Job description

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud technologies to support data-driven decision-making and advanced analytics.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and optimize data processing solutions using Python, SQL, and Apache Spark (PySpark).
  • Develop batch and real-time data ingestion pipelines.
  • Work with structured and unstructured datasets from multiple data sources.
  • Design and implement cloud-based data solutions using Azure, AWS, or GCP.
  • Develop and maintain data models, data lakes, and enterprise data warehouses.
  • Integrate data from APIs, databases, and streaming platforms.
  • Optimize data pipeline performance and ensure data quality.
  • Collaborate with Data Scientists, Business Analysts, and Software Engineers.
  • Implement CI/CD pipelines and DevOps best practices for data engineering.
  • Troubleshoot production issues and provide ongoing support.
  • Ensure compliance with data governance, security, and privacy standards.
Required Skills
  • 5+ years of experience as a Data Engineer.
  • Strong programming skills in Python.
  • Excellent SQL skills.
  • Hands-on experience with Apache Spark / PySpark.
  • Experience with ETL/ELT development.
  • Strong knowledge of Data Warehousing concepts.
  • Experience with Hadoop ecosystem (Hive, HDFS).
  • Experience with Databricks.
  • Experience with Apache Kafka.
  • Hands-on experience with Apache Airflow or similar workflow orchestration tools.
  • Experience working on Linux/Unix environments.
  • Knowledge of Git and CI/CD pipelines.
Cloud Skills
Experience with one or more of the following:
  • Microsoft Azure (ADF, ADLS, Synapse)
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
Preferred Skills
  • Snowflake
  • Delta Lake
  • Docker
  • Kubernetes
  • Terraform
  • Scala or Java
  • Power BI or Tableau
  • REST APIs
  • Agile/Scrum methodology
  • Experience working with large-scale enterprise data platforms

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