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Core Data Engineer Jobs (NOW HIRING)

Sr Data Engineer

Glendale, CA ยท On-site

$121.30K - $145.70K/yr

What You'll Do As a Sr Data Engineer ... Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines Build ...

Data Engineer

Glendale, CA ยท On-site

$121.30K - $145.70K/yr

... Core Data Platform. This is an exciting opportunity to work with modern data technologies and ... architects, and engineering teams โ€ข Help define best practices, standards, and pipeline ...

Sr Data Engineer

Glendale, CA

$121.30K - $145.70K/yr

Sr Data Engineer Glendale, California, United States About the Job Sr Data Engineer Job Title: Sr. ... Maintain, update, and expand existing core data platform pipelines. * Build and maintain APIs to ...

Data Engineer

Jersey City, NJ

$119.50K - $143.50K/yr

... Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

OR ยท On-site

$111.57K/yr

Work with Azure's core data and analysis services, including Data Factory, Synapse Analytics, Data ... programming, system architecture, computer networks, advanced data structures, and computer and ...

Data Engineer

Davie, FL ยท On-site

$104.90K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Senior Data Engineer

Jersey City, NJ

$110.60K - $150.30K/yr

Senior Data Engineer We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

Lead Data Engineer

Manhattan, NY ยท On-site

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

Lead Data Engineer

Manhattan, NY ยท Remote

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

AWS Data Engineer

San Francisco, CA ยท On-site

$134.90K - $162K/yr

Skills and Requirements * 7+ years of experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). * Experience in the design and ...

Manager,Core Data ProductStrategy

Lexington, MA ยท On-site +1

$116K - $182.27K/yr

Join Takeda as a Manager, Core Data Product Strategy, where you will support the design, build, and ... engineering, data modeling, or analytics in a matrixed environment. * Hands-on experience with ...

Data Engineer

Mount Laurel, NJ ยท On-site

$113.40K - $136.20K/yr

Job Summary We are seeking a Senior Data Engineer with strong core engineering experience in building and supporting scalable, production-grade data platforms on Azure . The role requires deep hands ...

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Core Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do core data engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for core data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Core Data Engineer, you need expertise in data modeling, database management, and programming languages such as SQL, Python, or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms, along with certifications in data engineering or cloud services, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing scalable data solutions and ensuring reliable, high-quality data infrastructure that supports business objectives.

What are some common challenges Core Data Engineers face when optimizing data pipelines?

Core Data Engineers often encounter challenges such as handling large volumes of data, ensuring data quality, and minimizing pipeline latency. Balancing data consistency with system performance can be complex, especially as data sources and user demands scale. Collaboration with data analysts, data scientists, and other engineers is crucial to ensure that data pipelines align with business goals and remain efficient. Adapting to evolving technologies and troubleshooting unexpected bottlenecks are also regular parts of the role.

What are Core Data Engineers?

Core Data Engineers are technology professionals who design, build, and maintain the foundational data infrastructure within an organization. They focus on developing data pipelines, ensuring data integrity, and optimizing systems for collecting, storing, and processing large volumes of data. Their work enables data scientists, analysts, and other teams to access reliable, high-quality data for decision-making. Core Data Engineers often work with big data technologies, databases, and cloud platforms to support scalable data solutions.

What is the difference between Core Data Engineer vs Data Engineer?

AspectCore Data EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data pipelines and databasesBachelor's in Computer Science, Data Science, or related field; strong programming and database skills
Work EnvironmentFocus on building and maintaining core data infrastructure, ETL processes, and data storage systemsDesigning, developing, and managing data pipelines, analytics, and data integration across systems
Employer & Industry UsageTech companies, finance, healthcare, and any industry with large-scale data needsSimilar industries, often overlapping with core data roles but broader in scope

Core Data Engineers specialize in developing and maintaining the foundational data infrastructure, while Data Engineers may have a broader role including data analysis and pipeline development. Both roles require similar skills and often work in the same industries, but Core Data Engineers focus more on the core systems that support data analytics and storage.

More about Core Data Engineer jobs
Infographic showing various Core Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Network Core Data Engineer

Purple Drive Technologies

Raleigh, NC โ€ข On-site

Full-time

Posted 15 days ago


Job description

Overview:
Job Title: Network Core Data Engineer
Location: Onsite - Raleigh, NC or Phoenix, AZ
Employment Type: Contract
Experience Required: 8-10 Years
Position Overview
We are seeking an experienced Network Core Data Engineer to design, configure, troubleshoot, and optimize core enterprise network services. This role requires deep hands-on expertise across identity services, load balancing, DNS/IPAM, automation platforms, and next-generation network fabrics.
The ideal candidate will have strong operational and architectural experience supporting large-scale, high-availability, mission-critical environments.
Key Responsibilities
Core Network Architecture & Engineering
  • Design, configure, and troubleshoot enterprise-grade network infrastructure.
  • Support high-availability and disaster recovery architectures.
  • Implement scalable and resilient network solutions aligned with enterprise standards.
Cisco ISE (Identity Services Engine)
  • Strong understanding of Cisco ISE architecture (PAN, PSN, MNT nodes).
  • Configure and troubleshoot policies for Wireless, Wired, VPN, and Network Access Control.
  • Manage authentication, authorization, and policy enforcement strategies.
F5 (LTM / GTM / BIG-IQ)
  • Hands-on configuration and troubleshooting of F5 LTM, GTM, and BIG-IQ.
  • Design and optimize load balancing, SSL offloading, and traffic management policies.
  • Ensure high availability and performance tuning of F5 infrastructure.
Infoblox (DNS / DHCP / IPAM)
  • Manage and optimize enterprise DNS, DHCP, and IP Address Management (IPAM).
  • Troubleshoot core network services and ensure reliability.
  • Implement automation and monitoring for DNS infrastructure.
Forescout (NAC)
  • Configure and manage Forescout network access control solutions.
  • Troubleshoot policy enforcement and endpoint visibility.
Cisco ACI
  • Design and deploy Cisco ACI Leaf-Spine fabrics.
  • Configure Tenants, VRFs, Bridge Domains, EPGs, Contracts, and Filters.
  • Implement Multi-Pod, Multi-Site, and Remote Leaf architectures.
  • Support HA and DR setups in ACI environments.
IBM NS1
  • Hands-on experience with IBM NS1 Connect platform.
  • Support DNS automation and traffic steering configurations.
Network Testing & Time Services
  • Experience with Ixia for L2/L3 testing and topology validation.
  • Familiarity with Microchip NTP equipment, monitoring, and troubleshooting.
Automation & Configuration Management
  • Experience with Gluware configuration and automation.
  • Hands-on expertise with Ansible automation scripting and configuration management.
Required Skills
Primary Skills:
  • F5 LTM
  • Infoblox
  • Forescout NAC
  • IBM NS1
  • Cisco ISE

Secondary Skills:
  • Cisco Routing & Switching
  • Aruba Wireless
  • SD-WAN (Versa preferred)
  • A10 Load Balancer
Technical Skills
Cisco ISE | F5 LTM/GTM | Infoblox DNS/DHCP/IPAM | Cisco ACI | IBM NS1 | Forescout | Ixia | Ansible | Gluware | NTP | Enterprise Networking