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Weekend Amazon Data Engineer Jobs in Peoria, IL (NOW HIRING)

Data Engineer

Peoria, IL ยท 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

... data workflow tools like Crontab or Apache Airflow * Programming experience with one or more programming languages * Python, object oriented programming experience desired Knowledge of AWS (Amazon ...

Salesforce Support Developer

Peoria, IL ยท On-site

$54.50 - $72/hr

Demonstrated understanding of data security for confidential and protected data. Desired Education ... Experience in configuration of Salesforce Experience Builder portals. * 2+ years of Amazon Web ...

Salesforce Support Developer

Peoria, IL

$54.50 - $72/hr

Demonstrated understanding of data security for confidential and protected data. Desired Education ... Experience in configuration of Salesforce Experience Builder portals. * 2+ years of Amazon Web ...

Salesforce Support Developer

Peoria, IL ยท On-site

$69K - $125K/yr

Demonstrated understanding of data security for confidential and protected data. Desired Education ... Experience in configuration of Salesforce Experience Builder portals. * 2+ years of Amazon Web ...

... and weekend support functions. Participating in integrated testing and user acceptance of ... Create holistic dashboards by pulling data from different data sources and websites. Collaborate ...

Product Service Consultant

Peoria, IL ยท On-site

$98 - $146/hr

Product Service Engineers are responsible for resolving a high percentage of application issues ... Data Gathering & Analysis:** Knowledge of data gathering and analysis tools, techniques, and ...

Product Service Consultant

Peoria, IL ยท On-site

$97K - $146K/yr

Product Service Engineers are responsible for resolving a high percentage of application issues ... Data Gathering & Analysis: Knowledge of data gathering and analysis tools, techniques, and ...

RN - Heart Failure Unit (Weekend)

Peoria, IL ยท On-site

$36.80 - $59.89/hr

Actively participates in data collection, analysis, and problem solving and gives input on process ... engineering-based medical school, and Methodist College. Carle BroMenn Medical Center, Carle ...

RN - Heart Failure Unit (Weekend)

Peoria, IL ยท On-site

$36.80 - $59.89/hr

Actively participates in data collection, analysis, and problem solving and gives input on process ... engineering-based medical school, and Methodist College. Carle BroMenn Medical Center, Carle ...

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Weekend Amazon Data Engineer information

See Peoria, IL salary details

$43.7K

$127.3K

$174.2K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for weekend amazon data engineer in Peoria, IL is $127,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $134,900.00 per year, depending on experience, location, and employer.

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 cities near Peoria, IL are hiring for Weekend Amazon Data Engineer jobs?

Cities near Peoria, IL with the most Weekend Amazon Data Engineer job openings:

$112K - $135K/yr

Full-time

Re-posted 13 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