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Full Time Data Storage Jobs (NOW HIRING)

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Name: Data Engineer III Location: Irvine, CA Work Type: Full-time Department: Information ... Storage. * Oracle Golden Gate. * Experience with data warehouse, Lakehouse, or medallion ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

We have an excellent opportunity for a full-time Data Engineer III in the I.T. department in our ... Storage. * Oracle Golden Gate. * Experience with data warehouse, Lakehouse, or medallion ...

About the Team The Storage teams build and operate online stateful systems and abstractions that ... fulltime working experience in designing, building and maintaining scalable, distributed data ...

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Utilize SQL and NoSQL databases for data storage and retrieval. * Automate data ingestion and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... UNAVAILABLEEmployment Type: FULL_TIME

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... UNAVAILABLEEmployment Type: FULL_TIME

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... UNAVAILABLEEmployment Type: FULL_TIME

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Full Time Data Storage information

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How much do full time data storage jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for full time data storage in the United States is $37.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $40.38 per hour, depending on experience, location, and employer.

What is a full time data storage job?

Full Time Data Storage jobs involve managing, organizing, and safeguarding digital data for an organization on a full-time basis. Professionals in these roles work with data storage systems, such as cloud services, databases, and physical storage devices, to ensure data is stored securely and can be accessed efficiently. They may also be responsible for implementing backup solutions, maintaining storage infrastructure, and helping recover data in case of loss. These positions typically require knowledge of storage technologies, data security best practices, and experience with relevant hardware and software tools.

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

To thrive as a Data Storage Specialist, you need expertise in data management, storage architecture, and backup/recovery solutions, typically supported by a degree in computer science or IT. Familiarity with storage platforms like SAN, NAS, cloud storage services, and certifications such as CompTIA Storage+ or vendor-specific credentials are commonly required. Strong problem-solving, attention to detail, and effective communication skills help in diagnosing issues and collaborating with IT teams. These skills are crucial for ensuring reliable data access, security, and scalability within an organization's infrastructure.

What are some common challenges faced by professionals in full time data storage roles, and how can they be addressed?

Professionals in full-time data storage roles often encounter challenges such as managing rapidly growing data volumes, ensuring data security and compliance, and maintaining system reliability. Addressing these requires staying up to date with storage technologies, implementing robust backup and disaster recovery plans, and collaborating closely with IT security and infrastructure teams. Regular training and adopting automation tools can also help streamline storage management and reduce manual errors.

What is the difference between Full Time Data Storage vs Data Analyst?

AspectFull Time Data StorageData Analyst
Required CredentialsIT certifications, knowledge of storage systemsStatistics, data analysis certifications
Work EnvironmentData centers, IT departmentsOffice, remote, or client sites
Industry UsageIT, cloud services, data managementBusiness, marketing, finance

Full Time Data Storage professionals focus on managing and maintaining storage infrastructure, while Data Analysts interpret data to support business decisions. Both roles require technical skills but differ in their primary functions and work environments.

What cities are hiring for Full Time Data Storage jobs?

Cities with the most Full Time Data Storage job openings:

What are the most commonly searched types of Data Storage jobs?

The most popular types of Data Storage jobs are:

What states have the most Full Time Data Storage jobs?

States with the most job openings for Full Time Data Storage jobs include:

Data Analyst/Data Engineer (Healthcare) (69269)

Dallas, TX

PRIORITY MANAGEMENT
1 - 5K employees

$125K - $145K/yr

Full-time

Re-posted 21 days ago


Key responsibilities

  • Build and maintain data pipelines and centralized datasets from multiple healthcare systems

  • Develop and maintain operational, financial, and clinical dashboards using Tableau and/or Power BI

  • Write advanced SQL queries and use Python for data extraction, transformation, automation, and analysis


Job description

Salary $125,000-$145,000

Data Analyst /Data Engineer (Healthcare)

Location: Downtown Dallas, TX (In-Office)
Company: Priority Management Group

About the Role

Priority Management Group is seeking a Data Engineer with strong analytics capabilities to help build and scale our internal data infrastructure. This role will play a critical part in designing how our organization collects, organizes, and analyzes operational, financial, and clinical data across our healthcare facilities.

This position is ideal for someone who enjoys building data pipelines and infrastructure, but also has the ability to analyze the data and turn it into actionable insights for leadership.

You will work closely with our IT, finance, and operations teams to transform raw data from multiple systems into reliable dashboards and reports that drive better decision-making across the company.

This is a full-time, in-office role located in Downtown Dallas.


Key Responsibilities

Data Analytics & Reporting

  • Develop and maintain operational, financial, and clinical dashboards using Tableau and/or Power BI
  • Write advanced SQL queries for data extraction, transformation, and validation
  • Use Python for automation, data cleaning, and advanced analysis
  • Build recurring reports related to:
    • Census trends
    • Reimbursement & payer mix
    • Labor productivity
    • Clinical performance metrics
    • Revenue cycle metrics

Data Engineering & Infrastructure

  • Design, build, and maintain data pipelines and centralized datasets from multiple healthcare systems
  • Develop processes for data ingestion, transformation, and validation
  • Build and maintain a scalable internal data warehouse or data storage environment
  • Ensure data quality, governance, and consistency across multiple platforms
  • Automate manual reporting and data workflows

Business Collaboration

  • Partner with operations, finance, and executive leadership to identify performance gaps
  • Translate complex business questions into data-driven insights
  • Provide analytics that support strategic and operational decision-making

Required Qualifications

  • 2–5+ years of experience in Data Engineering, Data Analytics, or a similar role
  • Strong SQL skills (joins, CTEs, window functions, performance optimization)
  • Strong Python skills (pandas, automation scripts, data transformation)
  • Experience building Tableau and/or Power BI dashboards
  • Experience building data pipelines or structured datasets
  • Strong understanding of KPIs, reporting metrics, and business analytics
  • Self-starter with the ability to work independently
  • Strong problem-solving and analytical thinking skills

Preferred Qualifications

  • Experience working with healthcare, SNF, or post-acute care datasets
  • Experience with data warehouses or cloud storage platforms (Azure, AWS, Snowflake, etc.)
  • Experience integrating data from multiple software systems or APIs
  • Familiarity with ETL/ELT processes

What We Offer

  • Opportunity to build the data infrastructure for a growing healthcare organization
  • Work directly with executive leadership and operations teams
  • High visibility role with the ability to make a measurable impact
  • Competitive salary based on experience