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Remote Data Manager Jobs in Baltimore, MD (NOW HIRING)

LMI

Data Engineer (Vantage) - Clearance Required

Belcamp, MD · On-site +1

$101K - $174K/yr

Scaling data pipelines and ontology management within the Army Vantage/Advana ecosystem. Active Secret clearance required . Location: Open to Remote. Local preferred at client site in Crystal City VA ...

LMI

Data Engineer (Vantage) - Clearance Required

Belcamp, MD · On-site +1

$101K - $174K/yr

Scaling data pipelines and ontology management within the Army Vantage/Advana ecosystem. Active Secret clearance required . Location: Open to Remote. Local preferred at client site in Crystal City VA ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Experience in the asset management or financial services industry. * Familiarity with CI/CD ... Work Flexibility This role is eligible for full time remote work.

T Rowe Price

Lead Android Engineer

Owings Mills, MD · Remote

... as an advisor to management and key external stakeholders on broad-ranging projects ... Experiencedworking with remote data via REST and JSON * Demonstrated experience in writing multi ...

NTT DATA Services

Network Manager

Annapolis, MD · On-site +1

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Network Manager

Annapolis, MD · On-site +1

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

SG2 Recruiting

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ... Strong experience with Python, T-SQL, SQL Server Management Studio (SSMS), Databricks, and Azure ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional ... You'll use your experience in analytical exploration and data examination while you manage the ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242278 Location: Belcamp,MD,US Share job via: Share Additional ... You'll use your experience in analytical exploration and data examination while you manage the ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... You'll use your experience in analytical exploration and data examination while you manage the ...

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Showing results 21-40

All JobsData JobsRemote Data Manager JobsRemote Data Manager Jobs in Baltimore, MD

Remote Data Manager information

See Baltimore, MD salary details

$30.8K

$96.5K

$170.9K

How much do remote data manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data manager in Baltimore, MD is $96,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are the key skills and qualifications needed to thrive as a remote data manager?

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.
What are popular job titles related to Remote Data Manager jobs in Baltimore, MD? For Remote Data Manager jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Manager jobs in Baltimore, MD look for? The top searched job categories for Remote Data Manager jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Data Manager jobs? Cities near Baltimore, MD with the most Remote Data Manager job openings:
Remote Data Manager jobs near you
Infographic showing various Remote Data Manager job openings in Baltimore, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% Remote job distribution, with an average salary of $96,527 per year, or $46.4 per hour.

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Columbia, MD • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 28 days ago

Job description

At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep.
All candidates will be required to complete at least one in-person interview as part of our hiring process.
Role Overview
We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations.
The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services.
Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role.
Day-One Priorities & Scope
Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team.
Key Responsibilities
Data Pipeline Engineering
  • Design, build, and maintain scalable data pipelines supporting ML/AI workloads.
  • Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions.
  • Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem.

Snowflake & Cloud Data Engineering
  • Perform data transformations in Snowflake using SQL and native Snowflake features.
  • Design and optimize schemas, tables, views, and materialized views for ML/AI consumption.
  • Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables.

Feature Engineering & Data Preparation
  • Perform data cleansing, normalization, and enrichment to support ML model development.
  • Design and implement feature engineering pipelines including aggregation and transformation.
  • Ensure consistency, reuse, and versioning of features across models and use cases.
  • Support feature store patterns to enable feature discoverability and reuse.
  • Collaborate with ML engineers and data scientists to operationalize features into training pipelines.

Model Training & MLOps Support
  • Support model training workflows, including dataset preparation and scheduled refreshes.
  • Ensure training datasets and features are reproducible, traceable, and auditable.
  • Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets.
  • Monitor pipeline health, data freshness, and downstream impact on ML/AI systems.

Required Skills & Experience
5+ years of hands-on data engineering experience in a cloud environment.
Core Technologies
  • Python - strong proficiency for data processing and pipeline development.
  • SQL - advanced skills with hands-on Snowflake transformation experience.
  • Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management.
  • PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus.
  • AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS).
  • Apache Iceberg / S3 Tables - familiarity with open table format ecosystems.
  • Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent).
  • Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent).

Pipeline & Data Engineering
  • Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs.
  • Data validation, reconciliation, error handling, and restart/recovery patterns.
  • Data modeling for analytics, ML/AI, and downstream application use cases.
  • Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability.

DevOps & Engineering Practices
  • Structured SDLC experience with CI/CD pipelines for data and ML workflows.
  • API-based and event-driven data integration patterns.
  • Distributed data processing environments.

ML/AI Data Foundations
  • Understanding of data requirements for ML/AI workloads.
  • Experience preparing training datasets and features from enterprise data lakes.
  • Familiarity with reproducibility, dataset versioning, and data lineage concepts.
  • Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs.

Education
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered.
Location: Remote
Status: Full time position with full company benefits.
NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at (888) 464-4218.
Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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