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Remote Storage Engineer Jobs in Baltimore, MD (NOW HIRING)

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience ...

Global Alliant Inc

AI Engineer

Baltimore, MD · Remote

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share Agentic AI Engineer The Opportunity: You know that machine learning is critical to understanding and ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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All JobsStorage Engineer JobsRemote Storage Engineer JobsRemote Storage Engineer Jobs in Baltimore, MD

Remote Storage Engineer information

See Baltimore, MD salary details

$10

$55

$82

How much do remote storage engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote storage engineer in Baltimore, MD is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $65.91 per hour, depending on experience, location, and employer.

What is a remote storage engineer?

A Remote Storage Engineer is an IT professional who specializes in designing, implementing, and managing data storage solutions for organizations while working remotely. Their responsibilities include configuring storage systems, troubleshooting storage-related issues, ensuring data security, and optimizing storage performance. They often work with technologies such as cloud storage, SAN (Storage Area Network), and NAS (Network Attached Storage). Remote Storage Engineers play a crucial role in maintaining data integrity and accessibility, especially for businesses with distributed or cloud-based infrastructure.

What are the key skills and qualifications needed to thrive as a remote storage engineer, and why are they important?

To thrive as a Remote Storage Engineer, you need strong expertise in storage technologies, data management, and backup solutions, typically backed by a degree in computer science or a related field. Familiarity with systems like SAN/NAS, cloud storage platforms (e.g., AWS, Azure), and certifications such as CompTIA Storage+ or vendor-specific credentials are highly valued. Excellent problem-solving, communication, and self-management skills help you address issues efficiently while collaborating across remote teams. These skills and qualities ensure robust data availability, security, and seamless support for distributed enterprise environments.

What is the difference between Remote Storage Engineer vs Cloud Storage Administrator?

AspectRemote Storage EngineerCloud Storage Administrator
Required CredentialsIT certifications, storage-specific certifications (e.g., SNIA, CompTIA Storage+)Cloud platform certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentData centers, remote offices, or cloud environmentsCloud platforms, remote or on-premises
Employer & Industry UsageIT companies, data centers, cloud providersCloud service providers, enterprises using cloud storage
Common Search & Comparison IntentUnderstanding storage infrastructure rolesManaging and optimizing cloud storage solutions

The main difference is that Remote Storage Engineers focus on designing, implementing, and maintaining storage systems across various environments, including data centers and cloud platforms. Cloud Storage Administrators primarily manage and optimize storage within cloud platforms like AWS or Azure. Both roles require storage knowledge, but their focus and certifications differ based on the environment they work in.

What does a remote storage engineer do?

As a remote storage engineer, you work from home to design and maintain information storage systems for clients. In this virtual position, your duties involve creating a database infrastructure that meets the needs of each client with whom you work. Part of your job involves assessing the specific needs of the client and designing appropriate solutions. You build or configure software, hardware, or cloud-computing systems, and you provide support and training for the employees who use the system. Other responsibilities include making updates, backing up data, and building and monitoring the network that connects to the data storage system.

How do remote storage engineers typically collaborate with on-site IT teams to resolve storage issues?

Remote Storage Engineers frequently work closely with on-site IT teams to diagnose and resolve storage-related incidents. This collaboration often involves remote access to systems, regular video or conference calls, and utilizing ticketing systems to track progress. Strong communication skills are essential, as Remote Storage Engineers must clearly document troubleshooting steps and coordinate actions, sometimes even guiding on-site staff through physical hardware checks or replacements. This teamwork ensures efficient resolution of issues despite physical distance.
More about Remote Storage Engineer jobs
What are popular job titles related to Remote Storage Engineer jobs in Baltimore, MD? For Remote Storage Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Storage Engineer jobs in Baltimore, MD look for? The top searched job categories for Remote Storage Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Storage Engineer jobs? Cities near Baltimore, MD with the most Remote Storage Engineer job openings:
Remote Storage Engineer jobs near you
Infographic showing various Remote Storage Engineer job openings in Baltimore, MD as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,172 per year, or $55.9 per hour.

Senior Data Engineer ID75059

AgileEngine

Baltimore, MD • On-site, Remote

$105K - $143K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

Apply