Top 2051 Data storage engineer Jobs

Senior Data AI Engineer
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- 5 years
- Experience equivalent to degree accepted
Data Storage Engineer (Senior Level)
Translucent Services —Omaha, NE
- $140,000 - $190,000 a year
- Full-time
- Computer Science
- Customer service
- Ability to lift 50 pounds
- Health insurance
- Dental insurance
Quick Apply
Specialist - Data Engineering
LTM —Tampa, FL
- $90,032 - $134,200 a year
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Paid holidays
Quick Apply
Senior Technical Lead, Software Engineer (Database & Storage Network)
Freddie Mac —McLean, VA
- $161,000 - $241,000 a year
- Full-time
- 5 years
- Continuous improvement
- Fair chance
GD164 Technical Data Curator
ADNET Systems, Inc. —Greenbelt, MD
- Computer Science
- Bachelor's degree
- Quality control
- Paid holidays
- Disability insurance
Quick Apply
Full-Stack Azure Data Engineer
Telecommunications Development Corp. —Laurel, MD
- Full-time
- System design
- SQL
- In-person
Quick Apply
WPG- System Analyst & Master Data
WIOSS Automation Solutions LP —Pilesgrove, NJ
- Microsoft Excel
- Microsoft Outlook
- Mid-level
- AD&D insurance
- Disability insurance
Quick Apply
Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)
IvoryCloud —Rockville, MD
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- 5 years
- Bachelor of Science
- Office
- Health insurance
- 401(k)
Quick Apply
Lead Cloud Data Engineer, Technology and Digital, FT,8:30A - 5P
Baptist Health South Florida —Coral Gables, FL
- $126,148.63 - $163,993.22 a year
- Full-time
- Computer Science
- System design
- Java
- Wellness program
- Health insurance
5d
Principal Data Center Infrastructure Engineer (VMware Engineer)
GuROO —Washington, DC
- From $240,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
12d
Senior Data Engineer (Hybrid, Houston based)
Rectorseal —Houston, TX
- 5 years
- Senior level
- Communication skills
- Paid holidays
- Health insurance
Quick Apply
2d
Mid-Level Data Engineer (Kaiserslautern, Germany)
JANSON —Fairfax, VA
- 8 hour shift
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Senior Cloud Data Specialist (Onsite - San Antonio, TX)
Accenture Federal Services —San Antonio, TX
- $116,900 - $243,100 a year
- Office
- AWS
- Bachelor's degree
Data Solutions Engineer, Assistant Vice President
Citi —Jacksonville, FL
- $107,120 - $160,680 a year
- Full-time
- 5 years
- Research
- Office
- Paid holidays
- Disability insurance
9d
Data Engineer Hadoop, HIVE & Python
DenkenSolutions Inc —Birmingham, AL
- $58 an hour
- Computer Science
- DevOps
- 3 years
Quick Apply
Data Center Technician
TEKsystems —Sparks, NV
- $28 - $31 an hour
- Contract
- Mid-level
- 3 years
- Fair chance
- Commuter assistance
- Health savings account
Quick Apply
9d
Data and Technology Manager
Boston Collegiate Charter School —Dorchester, MA
- $67,495 - $75,967 a year
- Extended hours
- Background check
- School experience
- Classroom
Quick Apply
Geospatial Data Analyst - Python
DenkenSolutions Inc —Birmingham, AL
- $56 an hour
- Monday to Friday
- Hybrid work
- Writing skills
- Mid-level
- 3 years
Quick Apply
Lead Data Engineer
INSPYR Solutions —Doraville, GA
- $60 - $70 an hour
- Remote
- 7 years
- DevOps
- SQL
- Health insurance
- 401(k)
Quick Apply
3d
Technology and Data - Software Engineer 4 - Contingent
Experis —Charlotte, NC
- Contract
- Mid-level
- Linux
Quick Apply
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Senior Data AI Engineer

CNA Insurance -
Chicago, IL

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Job Details

Full-time
$72,000 - $141,000 a year

Qualifications

Computer science
5 years
Senior level
Communication skills

Full Job Description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.

Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting

Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling

Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)

Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design

Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.

Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers

Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services

This role is not focused on experimentation alone — it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability

May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.

May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.

Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.

Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.

Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.

Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.

Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.

Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.

Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.

Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.

Education & Experience

Bachelor’s degree with Master’s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

Typically 5+ years of experience in data, analytics or application development.

2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

Experience using Agile methods preferred.

Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected]

Apply Now

Refine Your Search

data storage engineer jobs

Senior Data AI Engineer

Data Storage Engineer (Senior Level)

Specialist - Data Engineering

Senior Technical Lead, Software Engineer (Database & Storage Network)

GD164 Technical Data Curator

Full-Stack Azure Data Engineer

WPG- System Analyst & Master Data

Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)

Lead Cloud Data Engineer, Technology and Digital, FT,8:30A - 5P

Principal Data Center Infrastructure Engineer (VMware Engineer)

Senior Data Engineer (Hybrid, Houston based)

Mid-Level Data Engineer (Kaiserslautern, Germany)

Senior Cloud Data Specialist (Onsite - San Antonio, TX)

Data Solutions Engineer, Assistant Vice President

Data Engineer Hadoop, HIVE & Python

Data Center Technician

Data and Technology Manager

Geospatial Data Analyst - Python

Lead Data Engineer

Technology and Data - Software Engineer 4 - Contingent

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