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Data Services Associate Jobs (NOW HIRING)

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Family Services Associate

El Cajon, CA · On-site

$21.66 - $25.07/hr

Associate degree in social services or related field required . Bachelor's degree in social ... Data Driven Services and Continuous Improvement: Collects and analyses information to find new ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

This role combines strong database engineering experience with modern cloud data services, data ... Azure Data Engineer Associate • Microsoft Certified: Azure Database Administrator Associate • ...

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How much do data services associate jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for data services associate in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What does a data associate do?

A Data Services Associate is responsible for collecting, organizing, and maintaining data to ensure accuracy and accessibility. They often use tools like spreadsheets and databases, perform data validation, and support data analysis tasks to help organizations make informed decisions.

What qualifications are needed for a data associate?

A data services associate typically needs a bachelor's degree in fields such as data science, computer science, or related areas. Strong analytical skills, proficiency in data management tools like Excel, SQL, or Python, and attention to detail are also important qualifications for the role.

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

AspectData Services AssociateData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fieldsUsually a bachelor's degree in statistics, mathematics, or related fields; often requires analytical skills
Work EnvironmentData management teams, data warehouses, or IT departmentsBusiness units, analytics teams, or consulting firms
Employer & Industry UsageUsed across industries for data handling and support rolesCommonly employed for data analysis, reporting, and insights generation

The Data Services Associate primarily focuses on managing, organizing, and maintaining data systems, ensuring data quality and accessibility. In contrast, a Data Analyst interprets data, creates reports, and provides insights to support decision-making. While both roles require familiarity with data tools, the Data Services Associate emphasizes data infrastructure, whereas the Data Analyst emphasizes data interpretation and analysis.

Is 40 too late for data science?

Data Services Associates and other data science roles do not have strict age limits; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and practical experience are key factors for entering the field at any age.

What skills do you need to be a data specialist?

A data services associate needs strong analytical skills, proficiency in data management tools like SQL and Excel, and an understanding of data privacy and security practices. Attention to detail, problem-solving abilities, and good communication skills are also important for interpreting and presenting data effectively.

What are Data Services Associates?

Data Services Associates are professionals responsible for managing, organizing, and processing large amounts of data within an organization. They typically handle data entry, data quality checks, and the maintenance of databases or data systems. Their work ensures that data is accurate, up-to-date, and accessible to other teams for analysis and decision-making. Data Services Associates may also assist with reporting, troubleshooting data issues, and supporting data migration or integration projects.

How does a Data Services Associate typically collaborate with other departments within an organization?

Data Services Associates often work closely with teams such as analytics, IT, marketing, and operations to ensure data is accurately collected, maintained, and distributed. They may support project initiatives by gathering requirements from stakeholders, resolving data discrepancies, and providing timely data reports to inform business decisions. Strong communication skills are essential, as Associates frequently translate technical data concepts into actionable insights for non-technical teams. This collaborative environment fosters both learning and professional growth, as Associates gain exposure to a variety of business functions.

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

To thrive as a Data Services Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data management, typically supported by a degree in information systems or a related field. Familiarity with data processing tools such as SQL, Excel, and data visualization platforms, along with experience in database systems, is often required. Effective communication, problem-solving abilities, and a collaborative mindset help individuals excel in team-based, data-driven environments. These skills ensure accurate data handling, efficient workflow, and impactful insights for organizational decision-making.
What cities are hiring for Data Services Associate jobs? Cities with the most Data Services Associate job openings:
What are the most commonly searched types of Data Services jobs? The most popular types of Data Services jobs are:
What states have the most Data Services Associate jobs? States with the most job openings for Data Services Associate jobs include:
What job categories do people searching Data Services Associate jobs look for? The top searched job categories for Data Services Associate jobs are:
Data Services Associate jobs near you
Infographic showing various Data Services Associate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,974 per year, or $18.7 per hour.
Data Platform Engineer

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

18th of 60 rated furniture retailers

Job description

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role combines strong database engineering experience with modern cloud data services, data integration, automation, analytics enablement, and AI-ready data management. This position will support existing Microsoft SQL Server environments while helping transition the organization toward scalable, secure, and governed data platforms using Microsoft Azure, Microsoft Fabric, and related technologies. The role will collaborate with infrastructure, application development, analytics, and business teams to improve data reliability, accessibility, performance, and overall platform maturity.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Design, build, and support modern data platforms across SQL Server, Azure, Microsoft Fabric, and hybrid environments.

  • Support and modernize SQL Server environments through performance tuning, indexing, query optimization, backups, recovery, security, and availability.

  • Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Key Vault, and related services.

  • Support Microsoft Fabric capabilities, including lakehouses, warehouses, pipelines, semantic models, notebooks, and Power BI-ready datasets.

  • Build and maintain data pipelines, ETL/ELT processes, integrations, and data movement patterns across internal systems, cloud platforms, vendor systems, and reporting tools.

  • Assist with data architecture decisions for relational databases, data warehouses, lakehouses, APIs, analytical models, and cloud-native data services.

  • Improve data quality through validation, reconciliation, monitoring, exception reporting, and documentation of trusted data sources.

  • Collaborate with application development teams on database design, data access patterns, schema changes, integration methods, and performance optimization.

  • Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and reliable enterprise data and designing secure data access patterns.

  • Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs, and CI/CD practices for database objects, pipelines, scripts, and cloud configurations.

  • Monitor and troubleshoot data platforms, pipelines, and integrations for performance, reliability, cost, and security, performing root cause analysis and recommending long-term corrective actions.

  • Document data flows, platform architecture, operational procedures, support runbooks, and technical standards, and evaluate new Microsoft data platform capabilities for adoption.

Qualifications
Education/Experience: Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform engineering, data engineering, cloud data services, or a related technical role. Strong experience with Microsoft SQL Server, T-SQL, query tuning, indexing, stored procedures, performance troubleshooting, and relational database design. Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Storage, Azure Synapse, Azure Key Vault, or similar technologies. Experience building or supporting data pipelines, integrations, ETL/ELT workflows, reporting datasets, or analytical data platforms. Experience with Microsoft Fabric, Power BI, lakehouse, warehouse, or semantic modeling concepts preferred. Experience supporting analytics, automation, AI-readiness, enterprise search, or governed data access initiatives preferred. Equivalent combination of education and experience will be considered.
Computer Skills: To perform this job successfully, an individual must be proficient with Microsoft Office programs such as Office 365 and Word. Microsoft SQL Server T-SQL Azure SQL Database / Azure SQL Managed Instance Azure Data Factory Microsoft Fabric Azure Storage / Data Lake concepts Azure Synapse Analytics Power BI semantic models Data modeling ETL/ELT design Data quality validation Python or PowerShell Git Azure DevOps or GitHub Actions CI/CD practices Infrastructure as code concepts API-based data integrations Monitoring and observability Database security and access control Cloud-native data architecture AI-ready data architecture preferred
Certificates and Licenses: Certifications are not required but are preferred. Relevant certifications may include: Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure AI Engineer Associate
Supervisory Responsibilities: This position will not have supervisory responsibilities.
Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $118,500.00 - $158,000.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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