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Data Services Specialist Jobs (NOW HIRING)

Exactech

$57.75 - $74.25/hr

The Data Architect/Data Services Specialist will achieve this by strategically designing, developing, and implementing data models for enterprise-level and customer-facing applications and systems.

Pitzer College

$28 - $30/hr

Gift Services Specialist Job Details and Requirement: Department: Advancement Supervisor: Director ... Responsibilities will include managing records, data, and acknowledgements for gifts and pledges ...

Stcharles

Social Services Specialist

Bend, OR

$40.75 - $61.14/hr

Full-Time, Days Social Services Specialist Pay range: $37.73 - $56.60 Licensed Social Services ... Gathers and documents data promptly, ensuring compliance with department standards. Maintains ...

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Data Services Specialist information

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$72.9K

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How much do data services specialist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data services specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a data services specialist?

Data Services Specialists are professionals who manage, organize, and support data-related services within an organization. They are responsible for ensuring the integrity, accessibility, and security of data, often working with databases, data entry, data cleansing, and reporting tools. These specialists may also help with data migration, integration, and troubleshooting data issues. Their role is essential in supporting business decision-making by providing accurate and well-maintained data resources.

What are the key skills and qualifications needed to thrive as a data services specialist?

To thrive as a Data Services Specialist, you need strong analytical skills, proficiency in data management, and typically a degree in information technology, computer science, or a related field. Familiarity with database systems (e.g., SQL), data integration tools, and sometimes certifications such as Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving abilities, and effective communication help professionals excel in managing complex data workflows and collaborating across teams. These skills ensure accurate data handling, support data-driven decision-making, and contribute to organizational efficiency.

How does a data services specialist typically collaborate with other departments within an organization?

Data Services Specialists work closely with various teams, such as IT, business intelligence, and operations, to ensure data integrity and accessibility across the organization. They often act as a bridge between technical staff and business users, translating data requirements and resolving data-related issues. Regular collaboration may involve participating in cross-functional meetings, supporting data migration projects, and providing training or documentation to end users. This collaborative environment helps maintain data quality and supports informed decision-making throughout the company.

What is the difference between Data Services Specialist vs Data Analyst?

AspectData Services SpecialistData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related; often similar certifications
Work EnvironmentIT departments, data management teams, technical settingsBusiness units, analytics teams, reporting environments
Employer & Industry UsageTech companies, data-driven organizations, service providersFinance, marketing, healthcare, and other industries requiring data insights
Common Search & Comparison IntentUnderstanding roles, responsibilities, and skills overlapComparing data-focused roles for career decisions

While both roles involve working with data, Data Services Specialists focus on managing, maintaining, and supporting data infrastructure and services, often with a technical emphasis. Data Analysts primarily interpret data to generate insights and reports for business decision-making. The roles overlap in data handling but differ in scope and focus areas.

Are data services specialists in high demand?

Data Services Specialists are in high demand due to the increasing reliance on data management, analytics, and cloud-based solutions across industries. Employers seek professionals with skills in data integration, database management, and familiarity with tools like SQL and data warehousing, making this a growing field with strong job prospects.

What skills do you need to be a data services specialist?

A data services specialist needs strong analytical skills, proficiency in data management tools like SQL and Excel, and knowledge of data privacy and security practices. Familiarity with data visualization software and programming languages such as Python or R can also be beneficial for handling and interpreting large datasets.

What cities are hiring for Data Services Specialist jobs?

Cities with the most Data Services Specialist job openings:

Who are the top companies hiring for Data Services Specialist jobs?

The top employers for Data Services Specialist jobs are:

What states have the most Data Services Specialist jobs?

States with the most job openings for Data Services Specialist jobs include:

What are popular job titles related to Data Services Specialist jobs?

For Data Services Specialist jobs, the most frequently searched job titles are:

Data Services Specialist jobs near you
Infographic showing various Data Services Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Data Architect & Data Services Specialist

On-site

Exactech
See more jobs at Exactechexternal

$57.75 - $74.25/hr

Full-time

Re-posted 19 days ago

Exactech rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Description
The role of the Data Architect/Data Services Specialistis to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Data Architect/Data Services Specialist will achieve this by strategically designing, developing, and implementing data models for enterprise-level and customer-facing applications and systems. These models shall be architected at the conceptual, logical, business area, and application layers. This individual will act as the primary advocate of data modeling methodologies and data processing best practices focused on the company's breadth of clinical, customer and product-related data.
 
The role of Data Architect/Data Services Specialist will be primarily responsible for developing & maintaining ETL Jobs, extracting and replicating company data and loading it into a data warehousing environment, primarily using the SAP Data Services platform.

Key Responsibilities
  • Develop and deliver long-term strategic goals for clinical and corporate data architecture and standards in conjunction with Clinical Affairs, Business Units, Product Development, Regulatory Affairs, External Customers and other key stakeholders.
  • Establish an overall clinical data infrastructure roadmap and implementation plan, while collaborating with key stakeholders
  • Gather and review business requirements and processes, conduct in-person interviews or workshops, profile source system(s) data, documentation, analysis, and design of proposed systems. This specific role focuses on data decomposition, building conceptual models, developing an enterprise clinical data taxonomy, and developing a logical clinical data model at the enterprise level.
  • Translate Business Requirements Documents (BRDs) and/or User Stories into viable conceptual and subsequently, logical data models and design artifacts in conformance with existing standards and conventions.
  • Develop mapping documents that demonstrate data lineage and relationships.
  •  Establish processes for governing the identification, collection, and use of corporate and clinical metadata; take steps to assure metadata accuracy and validity. 
  • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
  • Conduct clinical data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
  • Create strategies and plans for clinical data security, backup, disaster recovery, business continuity, and archiving.
  • Performs visualization design; completes challenging visualization projects independently; utilizes good sensibility in visual storytelling.
  • Partners with other clinical and BU stakeholders to develop reports that provide meaningful clinical and product data and information.
  • Liaise with vendors and service providers to select the products or services that best meet company goals in collaboration
  • Assess and determine governance, stewardship, and frameworks for managing clinical data across the organization in collaboration with the Director of Application Development & Integration.
  • Develop and promote data management methodologies and standards, that are within regulatory compliance.
  • Lead the mapping of clinical data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
  • Build out the data architecture and models in collaboration with the company's data.
  • Address clinical data-related problems regarding systems integration, compatibility, and multiple-platform integration.
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of the data architecture.
  • Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
  • Identify and develop opportunities for data reuse, migration, or retirement.
  • Knowing and applying Exactech's Quality Management System and any appropriate federal and international standards.
  • Assist and support other employees, teams, and sales personnel as necessary.  

Skills Knowledge and Expertise
Education:
  • Bachelor's Degree in a related field from an accredited institution required. 
 Experience:
  • A minimum of 5 years' experience in hands-on technical leadership, project management, process development and resource management.
  • 7+ years' work experience as a data or information architect.
  • 7+ years' work experience as an ETL developer. (SAP Data Services would be beneficial)
  • 7 years' experience working with modeling tools (e.g., one or more of the following: SAP Power Designer, ER/Win, ER/Studio or other similar tools).
  • 7 years of relevant data analysis; experience with database query and analysis languages (e.g., SQL, R, SAS, Python) and data visualization tools (e.g., SAP Business Objects, Tableau, etc.).
  • 3-5 years' experience working with clinical data in a medical device industry setting is ideal.
  • Functional/Technical Knowledge, Skills and Abilities Required: Ability to interpret complex statistical data.
Functional/Technical Knowledge, Skills and Abilities Required:
  • Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing data management processes, procedures, and decision support.
  • Strong understanding of relational data structures, theories, principles, and practices.
  • Strong familiarity with metadata management and associated processes.
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
  • Experience with business requirements and process analysis, entity relationship planning, database design, reporting structures, and so on.
  • Ability to manage data and metadata migration.
  • Excellent client/user interactions skills to determine requirements.
  • Ability to effectively build and maintain relationships 
  • Ability to exercise sound judgment and make decisions based on accurate and timely analysis.
  • Demonstrated ability to define, develop, and analyze performance measures and metrics.
  • Solid experience utilizing and implementing relational and non-relational data storage models.
  • Expert knowledge of system and software quality assurance best practices and methodologies.
    Desired:
  • Understanding of Web services (SOAP, XML, UDDI, WSDL) and open APls.
  • Broad understanding of various cloud development technologies and trends.
  • Good knowledge of applicable data privacy practices and laws.
  • Proven project management experience.
  • Clinical Data Expertise: Advanced Subject Matter Expert and analytic resource in a number of clinical areas applying knowledge of definitions and identifying best sources of data.
  • Experience developing and supporting mission critical applications optimized to run in the cloud or virtualized environments.
  • Strong experience with SDLC, Agile methodologies, Microservices, API, EDI, and public and private cloud technologies.
  • Deep knowledge of system architecture, technical design, system and software development technology, scalability, availability and performance considerations.
  • Has knowledge of emerging trends and developments in PaaS, Saas, iOS/Android mobile app API, cloud, Al, Machine Learning and other digital technologies.
  • Strong experience with common and reliable Web and Mobile application development.
  • Object oriented programming experience (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.).
  • Scripting (R, Python)

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