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Advanced Data Systems Jobs (NOW HIRING)

Macy's

Manager, PTO Data Systems

Springdale, OH · On-site

$67.60K - $112.60K/yr

The Manager leverages advanced analytical skills, enterprise-level systems thinking, and a deep understanding of interconnected HRIS environments to ensure the accuracy of time-off data across PTO ...

The Carroll School

Data Systems Manager

Lincoln, MA

$70K - $87K/yr

Develop and maintain advanced queries, reports, and customizations within Aspen to meet evolving ... Data Systems & Integrations * Lead the integration of Aspen with other core systems (e.g., Ravenna ...

Macy's

Manager, PTO Data Systems

Springdale, OH

$67.60K - $112.60K/yr

The Manager leverages advanced analytical skills, enterprise-level systems thinking, and a deep understanding of interconnected HRIS environments to ensure the accuracy of time-off data across PTO ...

mkecounty

Data Systems Coordinator

Milwaukee, WI · On-site

$34 - $37/hr

The Data Systems Coordinator, under the supervision of the Manager of Data Analytics, will take a lead role in database administration, advanced report writing and data querying, developing policies ...

mkecounty

Data Systems Coordinator

Milwaukee, WI · On-site

$34 - $37/hr

The Data Systems Coordinator, under the supervision of the Manager of Data Analytics, will take a lead role in database administration, advanced report writing and data querying, developing policies ...

Carroll School

Data Systems Manager

Lincoln, MA · On-site

$70K - $87K/yr

Develop and maintain advanced queries, reports, and customizations within Aspen to meet evolving ... Data Systems & Integrations * Lead the integration of Aspen with other core systems (e.g., Ravenna ...

Carroll School

Data Systems Manager

Lincoln, MA · On-site

The Data Systems Manager will be responsible for overseeing the Student Information System ... and maintain advanced queries, reports, and customizations within Aspen to meet evolving ...

Wellbe Senior Medical

Data Systems Analyst

$90K - $120K/yr

Job Summary The Data Systems Analyst leads the integration of various healthcare payer data and ... Advanced SQL skills and strong understanding of relational database concepts * Deep working ...

Wellbe Senior Medical

Data Systems Analyst

$90K - $120K/yr

Job Summary The Data Systems Analyst leads the integration of various healthcare payer data and ... Advanced SQL skills and strong understanding of relational database concepts * Deep working ...

Wintrust

Advanced Data Engineer

Rosemont, IL · Hybrid

$85K - $110K/yr

Design systems that reliably and efficiently provide interactive query performance on large amounts of multi-modal data. * Ensure data governance policies are followed by implementing and validating ...

New

Cintel, Inc.

Data Engineer (Senior)

Huntsville, AL · On-site

$105.10K - $142.80K/yr

... systems and enabling advanced data visualization and analytics. Responsibilities : • Lead the development of advanced data analytics capabilities integrated into visual analytic software for both ...

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How much do advanced data systems jobs pay per year?

As of May 29, 2026, the average yearly pay for advanced data 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 an Advanced Data Systems specialist, and why are they important?

To thrive as an Advanced Data Systems specialist, you need expertise in data architecture, database management, and systems integration, typically supported by a degree in computer science or information systems. Proficiency with tools like SQL, NoSQL databases, ETL platforms, and cloud services such as AWS or Azure is essential, and certifications like AWS Certified Solutions Architect can be advantageous. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate with cross-functional teams and translate business needs into technical solutions. These capabilities ensure efficient data operations, secure handling of information, and the successful deployment of scalable data systems.

What are some common challenges faced by professionals working in Advanced Data Systems, and how can they be addressed?

Professionals in Advanced Data Systems often encounter challenges such as managing large-scale, complex data architectures and ensuring data integration across multiple platforms. Keeping up with rapidly evolving technologies and maintaining data security and compliance are also ongoing concerns. These challenges can be addressed by investing in continuous learning, collaborating closely with cross-functional IT and business teams, and implementing robust data governance practices. Adopting scalable, cloud-based solutions and automation tools can further help streamline workflows and enhance system reliability.

What are Advanced Data Systems?

Advanced Data Systems refer to sophisticated software and hardware solutions designed to efficiently collect, store, manage, and analyze large volumes of data. These systems often incorporate technologies like cloud computing, data warehousing, artificial intelligence, and machine learning to process complex datasets and deliver actionable insights. They are used across industries to improve decision-making, automate processes, and enhance business intelligence. Advanced Data Systems can range from enterprise-level databases to integrated analytics platforms, supporting real-time data processing and reporting.

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

AspectAdvanced Data SystemsData Analyst
Required CredentialsTypically requires a degree in computer science, information systems, or related fields; certifications like SQL, data managementBachelor's degree in statistics, mathematics, or related fields; certifications like Excel, SQL, Tableau
Work EnvironmentOften in IT or software companies, working with databases and systemsIn various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by tech firms, healthcare, finance for data management solutionsCommon across finance, marketing, healthcare, and consulting sectors

While Advanced Data Systems focuses on managing and implementing data solutions within organizations, Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities and work environments differ.

More about Advanced Data Systems jobs
What job categories do people searching Advanced Data Systems jobs look for? The top searched job categories for Advanced Data Systems jobs are:
Advanced Data Systems jobs near you
Infographic showing various Advanced Data Systems job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.
Data Engineer (Intermediate or Senior)

Data Engineer (Intermediate or Senior)

Teacher Retirement System of Texas

Austin, TX • On-site

$118.70K - $142.60K/yr

Other

Posted 26 days ago

Job description

The Data Engineer is responsible for designing, developing, and optimizing data pipelines, data modeling, and platform management to support seamless integration and operation of data systems. The incumbent will maintain the data warehouse, generate complex reports, and perform in-depth data analysis, while actively contributing to Agile team activities. This position will proactively collaborate with the Data Engineering Team, IT staff, other enterprise stakeholders and agency employees.

The Data Engineer Senior is responsible for designing, developing, architecting, and enhancing data platforms and pipelines, ensuring robust data models and system integrations for enterprise operations. The incumbent will oversee advanced data warehouse maintenance, drive strategic data initiatives, and perform comprehensive analysis while actively contributing to Agile team activities. This position will proactively collaborate with the Data Engineering Team, IT staff, other enterprise stakeholders, and agency employees.

In addition to the above, the Data Engineer will have expertise in DevOps principle and experience in CI/CD, Azure services, Kubernetes, and scripting skills (SQL, Python, PowerShell), along with testing automation. Terraform knowledge and Azure certifications are preferred.
 
WHAT WILL YOU DO
Data Engineering
Develop and manage data platforms.
Design and implement ETL processes and perform basic data lake management.
Implement and manage CI/CD pipelines with intermediate proficiency.
Create and maintain basic data models to ensure structured data storage and accessibility.
Manage data catalogs to maintain an organized and easily accessible repository of data resources.
Develop and maintain data warehouses.
Perform administrative tasks and assist in basic system administration duties, contributing to the overall management and upkeep of data systems.
Manage data permission, ensuring proper access control and data security.
Contribute to the maintenance and optimization of the data warehouse, ensuring data integrity and availability.
Develop data-driven applications, contributing to the creation of data solutions that support business needs.
Conduct data analysis and assist in larger data analysis projects, providing insights and support to business stakeholders.
Engage in scrum activities and actively participate in Agile methodologies.
Generate reports using reporting tools, and provide support in more advanced reporting tasks as required.
Collaborate with stakeholders to gather requirements and contribute to defining project scopes and objectives.
Develop visually appealing and intuitive dashboards that provide visibility into key performance, risk, and control indicators across agency divisions and departments.
Performs related work as assigned. 
Data Engineering Senior  
Develop and manage data platforms.
Design and maintain ETL processes and perform advanced data lake management.
Oversee and manage the implementation of CI/CD pipelines utilizing advanced DevOps practices.
Create and maintain advanced data models to ensure structured data storage and accessibility.
Enhance data catalogs to maintain an organized and easily accessible repository of data resources.
Enhance the efficiency of data warehouses and oversee complex warehousing.
Optimize system performance and manage complex systems, improving ease of management and reliability of systems.
Maintain complex data permissions, ensuring proper access control and data security.
Improve the maintenance and optimization of data warehouses, ensuring data integrity and availability.
Develop data-driven applications, contributing to the creation of data solutions that support business needs.
Conduct advanced data analysis and lead larger data analysis projects, providing insights and support to business stakeholders.
Lead scrum activities, ensuring team adherence to Agile practices.
Automate reports using reporting tools and provide support for more advanced reporting tasks as required.
Partner with stakeholders to align data strategies with business goals.
Develop visually appealing and intuitive dashboards that provide visibility into key performance, risk, and control indicators across agency divisions and departments.
Performs related work as assigned. 

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