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Data Core Systems Jobs (NOW HIRING)

Kavaliro

Core Systems Analyst -Symitar

Lake Mary, FL · On-site

Provide expert oversight of the Core Credit Union system (Symitar) and other critical applications ... Identify and implement solutions to improve data quality, ingestion/extraction processes, and ...

Kavaliro

Core Banking Systems Manager

Lake Mary, FL · On-site

Create accurate and timely system reports, ensuring data integrity and reliability. * As needed, perform hands-on technical work as a Core Systems Analyst to support high-priority tasks or fill ...

Carroll School

Data Systems Manager

Lincoln, MA · On-site

The Data Systems Manager will be responsible for overseeing the Student Information System ... core school functions within Aspen. • Develop and maintain advanced queries, reports, and ...

Carroll School

Data Systems Manager

Lincoln, MA · On-site

$70K - $87K/yr

Lead the integration of Aspen with other core systems (e.g., Ravenna, Magnus, School Messenger), ensuring reliable and secure data exchange. * Develop and maintain automated workflows and data ...

The Carroll School

Data Systems Manager

Lincoln, MA

$70K - $87K/yr

Lead the integration of Aspen with other core systems (e.g., Ravenna, Magnus, School Messenger), ensuring reliable and secure data exchange. * Develop and maintain automated workflows and data ...

Sunrise Systems Inc.

NJ

$173.20K - $205.30K/yr

... Data, Core Animation, etc. Solid understanding of object-oriented programming Experience with Cocoa APIs on OS X Good knowledge of performance limits and characteristics Knowledge of memory ...

Sunrise Systems Inc.

Software Systems Engineer

Piscataway, NJ · On-site

$176.30K - $208.90K/yr

... Data, Core Animation, etc. Solid understanding of object-oriented programming Experience with Cocoa APIs on OS X Good knowledge of performance limits and characteristics Knowledge of memory ...

Core Systems

Program Manager

Poway, CA · On-site

$85K - $130K/yr

Must be customer focused and possess: ability to identify issues, analyze data and develop ... Program management certification, a plus About Core Systems Core Systems is a global leader in ...

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How much do data core systems jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data core systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Core Systems Specialist, you need strong expertise in database management, data architecture, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with SQL, cloud platforms (like AWS or Azure), and data warehousing tools, along with relevant certifications (such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer), is often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex data challenges. These competencies are crucial for ensuring the reliability, scalability, and security of organizational data infrastructure.

What are some common challenges faced by professionals working in Data Core Systems roles, and how are they typically addressed?

Professionals in Data Core Systems often encounter challenges such as ensuring data integrity across complex, large-scale databases and coordinating with multiple teams to implement system updates without disrupting ongoing operations. Addressing these challenges usually involves robust change management processes, regular system audits, and close collaboration with software engineers, database administrators, and security teams. Staying current with evolving database technologies and adopting automated monitoring tools also help maintain optimal system performance and reliability. Open communication and thorough documentation are key practices for minimizing errors and streamlining troubleshooting.

What are Data Core Systems?

Data Core Systems refer to the foundational software and hardware infrastructure responsible for managing, storing, and processing large volumes of data within an organization. These systems ensure data is accessible, secure, and efficiently handled for various business operations and analytics. They often include databases, data warehouses, storage solutions, and data management tools, forming the backbone of enterprise data operations. Data Core Systems play a crucial role in enabling data-driven decision-making and supporting digital transformation initiatives.

What is the difference between Data Core Systems vs Data Analyst?

AspectData Core SystemsData Analyst
Required CredentialsBachelor's in Computer Science, Data Management certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentIT departments, data infrastructure teamsBusiness units, analytics teams
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, healthcare sectors

Data Core Systems professionals focus on managing and maintaining data infrastructure, ensuring data integrity and system performance. Data Analysts interpret data to generate insights and support decision-making. While both roles work with data, Data Core Systems specialists handle the technical backend, whereas Data Analysts focus on analysis and reporting.

More about Data Core Systems jobs
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Data Core Systems jobs near you
Infographic showing various Data Core Systems job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Software Engineer, Data (Core Engineering)

Dime Line Trading

Chicago, IL

$118K - $141.60K/yr

Full-time

Posted 23 days ago

Job description

We are looking for a strong Software Engineer who specializes in data systems. In this role, you won't just be writing scripts; you will be building the core backend services, distributed systems, and robust infrastructure that power our data platform.
If you approach data challenges with a software engineering mindsetand have a deep understanding of how data flows through complex systems, this role is for you.
What you'll do:
  • Build Core Systems: Design, develop, and deploy highly scalable backend services, APIs, and distributed systems that support our data infrastructure.
  • Manage Access Patterns: Architect scalable systems capable of handling diverse data access patterns (e.g., high-throughput writes, low-latency reads, heavy analytical scans) and optimize our existing data access layers.
  • Construct Data Pipelines: Build and maintain fault-tolerant pipelines, leveraging industry best practices for data storage, retrieval, and processing.
  • Event-Driven Architecture: Design and implement robust event-driven platforms that ensure reliable data delivery and real-time processing capabilities.
  • Champion Engineering Standards: Apply rigorous software engineering practices to data, including CI/CD, comprehensive testing (unit, integration, and end-to-end), and version control.

Skills you need:

  • Core Engineering Background: 4+ years of overall experience in backend software engineering, with a strong grasp of computer science fundamentals, data structures, and algorithms.
  • Data Expertise: 2+ years of dedicated experience in a data engineering capacity.
  • Language Proficiency: Expert-level coding skills in Python, Java, Go, or Scala, along with advanced SQL capabilities.
  • System Design: Proven experience building scalable systems and optimizing data access patterns for various downstream use cases.
  • Data Ecosystem Knowledge: Strong familiarity with industry best-practice solutions for:
    • Cloud-based architecture (AWS, GCP, or Azure).
    • Data storage and retrieval (e.g., relational, NoSQL, columnar databases).
    • Event-driven platforms (e.g., Kafka, Kinesis, RabbitMQ).
    • Batch and stream data processing (e.g., Spark, Flink).