ZipRecruiter

Log In

1

Data Storage Engineer Jobs in Chicago, IL (NOW HIRING)

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

... Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks Hands on ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

Cloud platform experience (Azure preferred, AWS, or GCP) especially with data storage and data processing components. * Proficiency in at least one programming or scripting language (Python ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

Cloud platform experience (Azure preferred, AWS, or GCP) especially with data storage and data processing components. * Proficiency in at least one programming or scripting language (Python ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/yr

You will focus on data storage and governance, containerized compute orchestration, and forging new ... Mentor other engineers on your team, fostering a culture of continuous learning. Along with your ...

Resource 1

Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Ensure efficient functioning of data storage and process functions in accordance with company ... Collaborate with engineering and development teams to evaluate and identify optimal cloud solutions

Groupon

Senior Data Base Engineer

Chicago, IL · On-site

$154K - $170K/yr

Partner with data engineering and analytics teams to gather requirements, design data schemas, and ... ensuring effective data storage and processing with Hive, Spark, and Sqoop * Any level of ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... storage and retrieval - Confirming data quality and validation through rigorous testing and ...

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... storage and retrieval - Confirming data quality and validation through rigorous testing and ...

previous pagenext page

Showing results 21-40

All JobsData Storage Engineer JobsData Storage Engineer Jobs in Chicago, IL

Data Storage Engineer information

See Chicago, IL salary details

$10

$57

$85

How much do data storage engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data storage engineer in Chicago, IL is $57.90, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $68.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data storage engineer?

To thrive as a Data Storage Engineer, you need a deep understanding of storage architectures (SAN, NAS, DAS), data management, and backup and recovery strategies, typically supported by a degree in computer science or a related field. Experience with enterprise storage systems (such as NetApp, EMC, or Dell), storage networking protocols, and certifications like SNIA or vendor-specific credentials is highly valued. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for excelling in this role. These abilities ensure the reliable management, security, and availability of critical data assets for organizations.

What are common challenges data storage engineers face, and how do they typically address them?

Data Storage Engineers often encounter challenges such as managing rapidly growing data volumes, ensuring high availability, and implementing robust backup and disaster recovery solutions. To overcome these, they proactively monitor storage environments, optimize configurations, and stay updated on the latest storage technologies and best practices. Collaboration with IT, network, and security teams is essential to address performance issues, data migrations, and system upgrades. By balancing immediate technical needs with long-term scalability and security, they help organizations safeguard and efficiently utilize their data resources.

What is a data storage engineer?

A Data Storage Engineer is responsible for designing, implementing, and managing data storage solutions to ensure efficient, secure, and scalable data access. They work with technologies like SAN, NAS, cloud storage, and backup systems to optimize data performance and availability. Their role includes troubleshooting storage issues, maintaining data integrity, and collaborating with IT teams to support business needs.

What are popular job titles related to Data Storage Engineer jobs in Chicago, IL? For Data Storage Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Storage Engineer jobs in Chicago, IL look for? The top searched job categories for Data Storage Engineer jobs in Chicago, IL are:
Data Storage Engineer jobs near you
Infographic showing various Data Storage Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,440 per year, or $57.9 per hour.

Sr. Site Reliability Engineer, Data - FreeWheel

Blueface Ltd

Chicago, IL • On-site

$117.63 - $176.44/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Job Summary

FreeWheel, part of Comcast, is looking for an experienced Data SRE to join the FreeWheel Data SRE team. As a member of the Global Operations team, you will ensure the reliability, scalability, and performance of our data systems, working closely with data engineers and other operations sub‑teams.

Key Responsibilities
  • System Monitoring and Optimization: Design and implement monitoring and alerting systems to ensure stability, reliability, and performance of data platforms. Quickly respond to and resolve issues impacting data pipelines or storage layers.
  • Automation and Tool Development: Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
  • Performance Optimization: Analyze and optimize performance of data storage, query performance, and data flows to ensure efficient processing of large‑scale datasets. Reduce latency and improve processing speed.
  • Incident Response and Troubleshooting: Respond quickly to data platform failures, perform troubleshooting and coordinate cross‑team efforts to resolve issues, ensuring high availability and reliability.
  • Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements and scale infrastructure accordingly.
  • Documentation and Knowledge Sharing: Document architecture, configurations, and operational procedures for data platforms and share knowledge across the team.
  • Security and Compliance: Ensure data platforms meet security standards and compliance requirements; prevent data breaches, unauthorized access, and misuse.
  • Cross‑Team Collaboration: Collaborate with data science, product, and development teams, support data product design and implementation, and resolve reliability‑related issues across the platform.
Qualifications
  • At least 8 years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Extensive experience in database management (NoSQL, MySQL, PostgreSQL).
  • Proficiency in automation tools and frameworks (Ansible, Terraform, Kubernetes, Docker). Strong experience with modern CI/CD pipelines.
  • Programming skills in Python, Go, Java, or Scala to write efficient scripts and automation tools.
  • Experience with monitoring and log‑management tools such as Prometheus, Grafana, and ELK Stack.
  • Strong troubleshooting and debugging skills for production issues.
  • Excellent communication skills, able to convey technical information to technical and non‑technical stakeholders.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent coursework and experience).
Preferred Skills
  • Familiarity with containerization, microservices architecture, and Kubernetes.
  • Experience designing and maintaining large‑scale distributed systems.
  • Experience in data quality management, data governance, or ETL pipelines.
Compensation

Primary Location Pay Range: $117,627.86 – $176,441.80. Compensation includes base pay and may include bonuses based on the role and company performance.

Benefits

Comcast provides comprehensive benefits to eligible employees, including health, dental, vision, disability, retirement, paid time off, and other resources that support physical, financial, and emotional well‑being.

Equal Opportunity

Comcast is an equal‑opportunity workplace and will consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other protected status.

#J-18808-Ljbffr

Apply