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Data Manager Jobs in Delaware (NOW HIRING)

Data Modeler (mid-level)

Wilmington, DE

$53.25 - $69/hr

We provide our clients with various services that help them to manage, control and transform their ... Data Modeler (mid-level) Location: Wilmington, DE Duration: 1 year + Interview mode: phone then F2F ...

In this role, you will combine data governance, metadata management, and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support ...

In this role, you will combine data governance, metadata management, and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support ...

Metadata Management:Oversee the ingestion, storage, and secure archiving of data ensuring compliance with privacy regulations.Design, implement, and maintain metadata repositories that capture data ...

Metadata Management: Oversee the ingestion, storage, and secure archiving of data ensuring compliance with privacy regulations. Design, implement, and maintain metadata repositories that capture data ...

Manage execution of the Data Management Strategy and development of the Data Management Framework, Policies and Standards for an assigned business. * Implement the Data Management Program within ...

Data Entry Operator Req number: R8265 Employment type: Full time Worksite flexibility: Onsite Who ... Work closely with managers and team members to ensure that all necessary documentation is collected ...

Showing results 21-40

Data Manager information

See Delaware salary details

$31K

$97.2K

$172.1K

How much do data manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data manager in Delaware is $97,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $125,600.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

What are the most commonly searched types of Data jobs in Delaware?

The most popular types of Data jobs in Delaware are:

What are popular job titles related to Data Manager jobs in Delaware?

For Data Manager jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Data Manager jobs?

Cities in Delaware with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Delaware as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

$53.25 - $69/hr

Contractor

Re-posted 2 days ago


Job description

Company Description

Spruce InfoTech is the leading service provider in the fields of project management, architecture design, installation, implementation and administration of EPM and BI projects. Our team of experts provide with proven industry solutions that help our clients to have better understanding of the business and aides in decision making. We provide our clients with various services that help them to manage, control and transform their businesses by employing new age technology solutions that are cost effective and productive in nature. Our team members have huge experience in different types of enterprise solutions like that of Oracle Enterprise Performance Management (aka Hyperion), OBIEE and TIBCO.

Job Description

Title: Data Modeler (mid-level)

Location: Wilmington, DE

Duration: 1 year + 

Interview mode: phone then F2F  


Description: 


Required Skills:

Minimum 3-5+ years' experience modeling complex databases using 3rd party modeling tools such as ERWin 9.2

Experience designing and building large financial services data warehouses with very strong data analysis skills

Have good knowledge of ER/Dimensional modeling and have extensive experience in developing logical and physical data models in complex, multi-application environments.

3-5+ years of hands-on experience in data management, data warehousing, data transformation, metadata and reference data management and business intelligence tools.

3+ years of experience with advanced SQL query techniques using TOAD, SQL Navigator. Basic UNIX would be a Plus.

Previous experience as a hands-on Oracle DBA of large database is a plus.

Must have good understanding of leading 3rd party products in the relevant areas (e.g. Datastage, Business Objects, Microstrategy).

Significant experience with System Development Life Cycle (SDLC)

Responsibilities:

Capture business requirements and rules, design the associated logical models, and create all required documentation to support, communicate, and validate the data model. 

Design, build and maintain the logical and physical data models to support the business requirements in a dynamic, expanding business environment. 

Map data elements of data sources into the domain data models. 

Maintain documentation of data models, including relationships, constraints and metadata. 

Publish and conduct model reviews with business and technical project teams. 

Review database design changes with the team to determine the impact to the physical database and other systems. 

Coordinate with development/implementation team to improve model formats and approaches with regard to implementation issues. 

Participate in performance tuning activities including partitioning strategies, indexing strategies, and SQL optimization 

Architect with an eye toward high performance, scalability, and high availability.




Qualifications

NEED TO BE LOCAL TO WILLINGTON,DELWARE(DE)

Additional Information

Title: Data Modeler (mid-level)


Location: Wilmington, DE


Duration: 1 year + 


Interview mode: phone then F2F