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Weekend 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 · On-site

$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 · On-site

$118K - $141K/yr

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

Publicis Groupe Holdings B.V

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

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

Rosemont, IL · On-site

... 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 ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

... 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 ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL

$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 · On-site

$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 ...

Fortune Brands

Lead Data Engineer

Deerfield, IL · On-site +1

$160K - $193K/yr

Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data ... Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery ...

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

Weekend Amazon Data Engineer information

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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 cities in Illinois are hiring for Weekend Amazon Data Engineer jobs? Cities in Illinois with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Data Engineer

PROLIM Global Corporation

Peoria, IL • On-site

$112K - $135K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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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