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Home Based Data Storage Jobs (NOW HIRING)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption ...

Data Engineer

Miami, FL

$104K - $125K/yr

Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption ...

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Data Storage Management: Manage and optimize data storage solutions, including data warehouses and ... Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP)

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud. 10 Required Develop and maintain enterprise data models, data ...

Chief Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

... based data storage. • Experience with how to implement a data mesh architecture across a dynamic workforce. • Providing subject matter expertise on data policy and governance materials; • ...

Chief Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

... based data storage. • Experience with how to implement a data mesh architecture across a dynamic workforce. • Providing subject matter expertise on data policy and governance materials; • ...

... S-based data environments to the Microsoft Fabric ecosystem. The candidate will design and build scalable data solutions that leverage OneLake for unified data storage, implement Medallion ...

Sr Data Architect

$68.75 - $92/hr

... based data architecture solutions. * Design data models, data flow diagrams, and schema structures that optimize data storage, retrieval, and processing on cloud platforms. * Design and develop data ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient * Implement best practices for data storage, partitioning, and lifecycle management Data Optimization ...

Data Modeler

Columbia, SC · On-site

$55 - $56/hr

Knowledge of cloud-based data storage and processing platforms such as AWS (S3, Redshift), Snowflake, Databricks * Excellent problem-solving skills and attention to detail * Strong communication and ...

Software Engineer, I - Data Engineering

$117K - $140K/yr

They are seeking a Software Engineer to help build and support Linux- and cloud-based data systems, contributing to AWS-based data ingestion, ETL, and storage solutions for analytics and ML training.

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient * Implement best practices for data storage, partitioning, and lifecycle management Data Optimization ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient * Implement best practices for data storage, partitioning, and lifecycle management Data Optimization ...

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Home Based Data Storage information

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$108

How much do home based data storage jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for home based 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 the difference between Home Based Data Storage vs Data Center Technician?

AspectHome Based Data StorageData Center Technician
CredentialsIT certifications, data management skillsIT certifications, network and hardware skills
Work EnvironmentRemote, home office setupOn-site data center facilities
Industry UsageData management, cloud storage servicesData center operations, hardware maintenance
Search & Comparison IntentRemote data storage jobs, data management rolesData center jobs, hardware technician roles

Home Based Data Storage roles focus on managing and maintaining data remotely, often involving cloud services and data security from a home setup. Data Center Technicians work on-site in physical data centers, handling hardware, network equipment, and infrastructure. Both roles require IT certifications but differ mainly in work environment and job responsibilities.

What cities are hiring for Home Based Data Storage jobs? Cities with the most Home Based 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 Home Based Data Storage jobs? States with the most job openings for Home Based Data Storage jobs include:
What job categories do people searching Home Based Data Storage jobs look for? The top searched job categories for Home Based Data Storage jobs are:
Data Engineer

$109K - $131K/yr

Full-time

Posted 23 days ago


Job description

Description
Job Summary
Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
Job Specific Duties
  • Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems.
  • Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption.
  • Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
  • Engages and communicates effectively with a variety of IT, research, and medical staff.
  • Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software.
  • Write complex, efficient queries against large, and disparate data sources.
  • Monitors ETL/ELT performance and ensures compliance with security.
  • Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights.
  • Use of machine learning patterns for data discovery and on tasks that can be automated.

Qualifications
Minimum Job Requirements
  • Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master's degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research
  • 1-3 years of data engineering and integration experience
  • 1-3 years of data management in cloud-based data environments such as Azure or AWS
  • 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases
  • 1-3 years of data warehousing ELT/ETL experience
  • 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations
  • Experience working with API's/RESTful Web Services
  • Experience with XML, JSON, HL7, or FHIR
  • Experience with data visualization tools such as Tableau or Power BI

Knowledge, Skills, and Abilities
  • Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft.
  • Experience extracting and managing data from large enterprise clinical and non-clinical systems.
  • Familiarity with and experience with efficient database ETL processes - extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications.
  • Ability to learn and apply new technical skills.
  • Willingness and ability to share knowledge with other team members.
  • Ability to adapt to changes in fast paced healthcare and data environment.
  • Identify ways to improve data reliability, efficiency, and quality.
  • Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases.