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Full Time Data Storage Jobs (NOW HIRING)

Contexture

Senior Data Engineer

Phoenix, AZ · On-site

$8.5K - $9.5K/mo

... Full-time / Part-time: Full-time Exempt / Non-Exempt: Exempt Risk Designation: Extremely High ... Load data into data storage systems, specifically Microsoft SQL Server, MongoDB, and Snowflake.

Contexture

Senior Data Engineer

Phoenix, AZ · On-site +1

$8.5K - $9.5K/mo

... Full-time / Part-time: Full-time​ Exempt / Non-Exempt: ​ Exempt​ Risk Designation: ​ ... Load data into data storage systems, specifically Microsoft SQL Server, MongoDB, and Snowflake.

Innowhyte Inc

Optimize and manage data storage systems and ensure high availability, reliability, and performance ... Employment Type: FULL_TIME

Contexture

Senior Data Engineer

Phoenix, AZ · Remote

$8.5K/mo

... Part-time: Full-time Exempt / Non-Exempt: Exempt RiskDesignation: Extremely High Summary ... Load data into data storage systems, specifically MicrosoftSQLServer, MongoDB, and Snowflake.

CGI Inc.

Sr. Storage Administrator

Radford, VA · On-site

J1025-2177 Employment Type: Full Time Position Description: CGI Federal is looking for a Sr. ... services across data centers and commercial clouds. It plays a crucial role in modernizing ...

SixGen, Inc.

Data Scientist (TS/SCI w/ Poly)

Columbia, MD · On-site

$180K - $220K/yr

Senior Data Scientist Job Type: Full-time Location: Onsite, Ft. Meade, MD Clearance Requirements ... Ensure data quality, integrity, and security across all data storage solutions * Support the ...

IntraEdge

Data Architect

Chandler, AZ

$61.50 - $79/hr

S3 for data storage and management Athena for querying data Step Functions & Lambda for ... Employment Type: FULL_TIME

ACI Infotech

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Data engineer Location: Charlotte, NC ( Hybrid - 3days Office - 2 days WFH) Full-time role Job ... Optimize data storage and access strategies for performance and cost-efficiency. * Ensure data ...

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

As of Jul 13, 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 are the key skills and qualifications needed to thrive as a Data Storage Specialist, and why are they important?

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 Full Time Data Storage jobs?

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 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 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 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:
Full Time Data Storage jobs near you
Senior Data Engineer

Senior Data Engineer

Contexture

Phoenix, AZ • On-site

$8.5K - $9.5K/mo

Full-time

Posted 12 days ago

Job description

SENIOR DATA ENGINEER
Job Code: SRDATENG
Reports To: Director, Data Operations & Engineering
Base Location: AZ or CO
Work Status: Virtual Office
Minimum Starting Monthly Range: $8,500
Hiring Range (Monthly Pay): $8,500 - $9,583
Full-time / Part-time: Full-time
Exempt / Non-Exempt: Exempt
Risk Designation: Extremely High
Summary:
The Senior Data Engineer will work as part of the Data Acquisition, Transformation, and Analysis team to derive business value from enterprise data by implementing enterprise data management specifications provided by the Data Architect and Director of Data Operations & Engineering, including data storage, processing, transformation, ingestion, consumption, and automation. This role will work with multiple healthcare data sources and cross-functional teams to establish integrated datasets across legacy and greenfield data systems/platforms. You will work closely with data producers, consumers, and subject matter experts to enhance data service capabilities by implementing data architecture frameworks, standards, and principals, including modeling, metadata, security, and reference data.
This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential Duties and Responsibilities include the following:
  • Develop, implement, and maintain enterprise data management solutions to enable organizational business intelligence, reporting, visualization, and analysis.
  • Assist with the development, implementation, and maintenance of an overall organizational data strategy that is in line with business processes.
  • Design and build data processing flows to extract data from various sources, such as databases, API endpoints, and flat files.
  • Load data into data storage systems, specifically Microsoft SQL Server, MongoDB, and Snowflake.
  • Transform data using industry-standard techniques such as standardization, normalization, de-duplication, filtering, projection, and aggregation.
  • Build and maintain data processing environments, including hardware and software infrastructure. Working knowledge of data flow orchestration tools such as Prefect and Airflow is preferred.
  • Collaborate with data producers, consumers, and subject matter experts to ensure smooth dissemination and flow of data within the organization.
  • Performs other related duties as assigned.

Skills
  • Demonstrated experience with relational and non-relational data storage models, schemas, and structures used in data lakes and warehouses for big data, business intelligence, reporting, visualization, and analytics.
  • Hands-on experience with extract, transform, load (ETL) process design, data lifecycle management, metadata management, and data visualization/report generation.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing a well-designed enterprise management data architecture.
  • Leadership experience, including mentoring junior and mid-level team members, guiding their day-to-day task planning and execution while ensuring adherence to adopted standards.
  • Demonstrated ability to develop multiple solution proposals, analyze risks and tradeoffs between them, and communicate those with other senior team members and colleagues.
  • Oversight of data engineering infrastructure, in collaboration with the infrastructure team, including application, automation, database, and storage servers.
  • Management of data engineering code base, establishing standards and best practices, administering code reviews, and code repository maintenance.
  • Technical Skills and Experience:
  • Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data
  • Required Languages: Python and SQL
  • Required Libraries: PyData stack, Dask, and Prefect
  • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
  • Leveraging data partitioning, parallelization, and data flow optimization principles
  • Implementing data sterilization, normalization, and standardization processes
  • Orchestrating fault tolerant/redundant data processing pipelines
  • SQL query planning and optimization for incremental and historical workloads
  • File manipulation across varied file types, encodings, formats, and standards
  • Secure Software Development Lifecycle (SSDLC), version control, and release management
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Strong understanding of project management disciplines such as Agile and Waterfall
  • Ability to translate technical requirements into actionable tasks for execution and delegation to team members.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience
  • Minimum of 7+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 5+ years working with relational databases, 4+ years working with analytical data workloads, and 3+ years working with batch data processing technologies.
  • Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.
  • Master's Degree is preferred.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.
The position may require occasional availability for after-hours work, outside of regularly scheduled hours.
The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.
This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.
Physical Demands
The physical demands described here are representative of those necessary to perform the essential functions of the role:
  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.
Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.
The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.
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