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Data Compute Jobs in Illinois (NOW HIRING)

Specialist Data Entry

Effingham, IL · On-site

$21 - $22/hr

Hourly Discover a more connected career A successful Data Entry Specialist shall compile and post employee time and payroll data; compute employees' time worked, production, and commission; and post ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Optimize Spark jobs, cluster configurations, and SQL queries to minimize latency and cloud compute costs. · Governance & Security: Implement security frameworks, data lineage, and user access ...

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...

Data Center Technician

Lisle, IL · On-site

$80K - $90K/yr

Help maintain hardware in the data center, including tasks such as configuration, maintenance ... Help diagnose and resolve system/compute/network issues to restore functionality * Ensure new ...

Accountable for the enterprise data platform - ingest, lakehouse and compute, MLOps / LLMOps, and reliability, observability, and cost; builds scalable, highly available pipelines on hybrid cloud and ...

Accountable for the enterprise data platform - ingest, lakehouse and compute, MLOps / LLMOps, and reliability, observability, and cost; builds scalable, highly available pipelines on hybrid cloud and ...

Help diagnose and resolve system/compute/network issues to restore functionality * Ensure new ... Work closely with HW Support team to ensure data center infrastructure-related support tickets are ...

Accountable for the enterprise data platform - ingest, lakehouse and compute, MLOps / LLMOps, and reliability, observability, and cost; builds scalable, highly available pipelines on hybrid cloud and ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

... compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms. • Establish architecture standards and reference patterns that support ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

... compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms. • Establish architecture standards and reference patterns that support ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data Architect- Wealth Management Location: Chicago, IL Duration: Long Term Contract About VLink ... AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Drive adoption of ELT best practices using BigQuery as the compute engine. Collaboration & Stakeholder Engagement * Collaborate with data architects, business analysts, and machine learning teams to ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms. * Establish architecture ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms. * Establish architecture ...

Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments * Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure ...

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Showing results 1-20

Data Compute information

What are the key skills and qualifications needed to thrive in the Data Compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

How can I make 2000 a week working from home?

Data Compute roles often involve analyzing large datasets, developing algorithms, or managing cloud-based computing tasks. To earn $2000 weekly, professionals typically need specialized skills, experience, and may work as freelancers or in contract positions, often requiring proficiency in programming, data analysis tools, and remote work setups. Consistent high earnings depend on the complexity of projects and the rate charged per hour or project.

What profession makes $400,000 a year?

In the field of data compute, senior roles such as data engineering managers or principal data scientists can earn $400,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation varies based on industry, location, and company size, often including bonuses and stock options.

What is the highest paying job in data?

In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What are the most commonly searched types of Data Compute jobs in Illinois? The most popular types of Data Compute jobs in Illinois are:
What cities in Illinois are hiring for Data Compute jobs? Cities in Illinois with the most Data Compute job openings:
Infographic showing various Data Compute job openings in Illinois as of July 2026, with employment types broken down into 73% Full Time, 19% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.
Office Clerk - Part time

Office Clerk - Part time

True World Foods

Elk Grove Village, IL • On-site

$17 - $18/hr

Part-time

Posted 6 days ago


Job description

We are seeking an Office Clerk to become an integral part of our team! You will compile data, compute charges, and verify invoices.

Responsibilities:

  • Match physical checks against invoices, investigate discrepancies
  • Track and verify customer signatures on invoices, investigate discrepancies
  • Match invoices against QuickBooks, investigate discrepancies
  • Keep accurate records in accordance with company standards
  • Perform all other office tasks

Qualifications

  • Basic data entry and accuracy
  • Preferred knowledge of standard accounting procedures
  • Ability to prioritize and multitask
  • Must be organized