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Remote Data Mapping Analyst Jobs in Baltimore, MD

Moore

Data Analyst

Lanham, MD · Remote

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

New

Goldman Edwards, Inc.

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Budget Analyst (Remote)

Baltimore, MD · Remote

Budget Analyst Location: Remote / Baltimore, MD Metro Area Clearance: Public Trust required ... Portfolio Budgeting Support · Support CMS's portfolio budgeting effort by linking funding data to ...

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Remote Data Mapping Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote data mapping analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data mapping analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How does a remote data mapping analyst typically collaborate with cross-functional teams to ensure accurate data integration?

As a Remote Data Mapping Analyst, you'll regularly interact with IT, business analysts, and project managers to understand data requirements and ensure that data from various sources is accurately mapped and integrated into target systems. Collaboration often takes place through virtual meetings, documentation sharing, and project management tools. You may need to clarify data definitions, resolve mapping discrepancies, and provide updates on progress, making strong communication skills and attention to detail essential. Building relationships with stakeholders across departments helps streamline workflows and ensures the success of data integration projects.

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

AspectRemote Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Data Management, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentRemote, often collaborating with IT and data teamsRemote or on-site, working with business units and management
Industry UsageIT, Data Management, Software DevelopmentFinance, Marketing, Healthcare, Business
Common Search/ComparisonYesYes

The Remote Data Mapping Analyst primarily focuses on translating data between systems, ensuring data integrity during migrations or integrations. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require data skills, the analyst emphasizes data transformation and mapping, whereas the data analyst emphasizes analysis and reporting.

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

To thrive as a Remote Data Mapping Analyst, you need a strong background in data analysis, database management, and data migration, typically supported by a degree in computer science or a related field. Proficiency with ETL (Extract, Transform, Load) tools, SQL, data mapping software, and familiarity with data integration platforms is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret requirements and collaborate across remote teams. These skills ensure accurate data transformation and integration, which are critical for maintaining data integrity and supporting business operations.

What is a remote data mapping analyst?

A Remote Data Mapping Analyst is a professional who works from a remote location to analyze, organize, and translate data from various sources into a structured format. Their primary role involves identifying relationships between different data sets, ensuring data consistency, and supporting data integration projects. They often collaborate with IT teams, data engineers, and business analysts to implement data solutions that improve data quality and accessibility. This job requires strong analytical skills, attention to detail, and proficiency with data mapping tools and software.
What are popular job titles related to Remote Data Mapping Analyst jobs in Baltimore, MD? For Remote Data Mapping Analyst jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Mapping Analyst jobs in Baltimore, MD look for? The top searched job categories for Remote Data Mapping Analyst jobs in Baltimore, MD are:
Remote Data Mapping Analyst jobs near you

Senior Data Warehouse Solutions Architect / Data Integration Engineer

Strategic Solutions

Baltimore, MD • Remote

$40 - $45/hr

Full-time

Posted 4 days ago

Job description

About the Opportunity
Strategic Solutions, LLC is seeking an experienced Senior Data Warehouse Solutions Architect / Data Integration Engineer to support enterprise data warehouse modernization and business intelligence initiatives. This position requires an accomplished data professional with extensive experience designing, developing, and supporting enterprise data warehouse solutions, ETL processes, database architectures, metadata management, and business intelligence platforms.
The successful candidate will serve as a technical leader responsible for analyzing business requirements, designing scalable data solutions, developing complex database objects, documenting data transformations, and supporting enterprise reporting and analytics initiatives.
Required Qualifications
Applicants must meet all of the following minimum qualifications:

  • U.S. Citizen or Green Card Holder
  • Verifiable Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline is required
    •  Master's degree or higher is preferred. 
  • Minimum 9 years of professional IT experience
  •  Minimum 9 years of hands-on experience with the following technologies: 
    •  General AWS experience 
    •  Oracle Database 
    •  SQL Development 
    •  ETL Development 
    •  Source-to-Target Mapping 
  •  Experience working throughout the Software Development Life Cycle (SDLC). 
  •  Strong written and verbal communication skills. 
  •  Excellent analytical, organizational, and problem-solving abilities. 
Required Technical Experience
Candidates should possess extensive experience in the following technologies:
AWS
  •  General AWS experience 
  •  AWS Glue 
  •  Amazon Redshift 
Database Technologies
  •  Oracle Database (10g or higher) 
  •  Database performance tuning 
  •  DDL development 
  •  Relational database design 
SQL Development
Demonstrated expertise developing:
  •  Complex SQL queries 
  •  Stored Procedures 
  •  Functions 
  •  Views 
  •  Packages 
  •  Performance tuning 
  •  Query optimization 
ETL & Data Integration
  •  Enterprise ETL development 
  •  Complex ETL mapping analysis 
  •  Data transformation 
  •  Data migration 
  •  Data validation 
  •  Data quality implementation 
  •  Data reconciliation 
Data Modeling & Metadata
  •  Logical Data Modeling 
  •  Physical Data Modeling 
  •  Dimensional Modeling 
  •  Relational Modeling 
  •  Metadata Management 
  •  Data Lineage 
Data Mapping
  •  Source-to-Target Mapping 
  •  Transformation Logic Documentation 
  •  Business Rule Documentation 
  •  Mapping tools such as Erwin Mapping Manager
Business Intelligence
  •  MicroStrategy (2019 or later preferred) 
  •  Dashboard development 
  •  BI metadata 
  •  Reporting solutions 
Key Responsibilities
  •  Analyze existing enterprise systems and determine business, functional, and technical requirements. 
  •  Design, develop, implement, and maintain enterprise data warehouse solutions. 
  •  Design scalable data architectures supporting Oracle, Amazon Redshift, and AWS Glue. 
  •  Develop logical and physical data models for enterprise data warehouse environments. 
  •  Create detailed source-to-target mapping documentation and transformation specifications. 
  •  Develop complex SQL functions, procedures, packages, views, and queries supporting reporting and analytics. 
  •  Read, analyze, and enhance existing ETL mappings to understand enterprise data flows. 
  •  Design and document transformation logic for enterprise data integration initiatives. 
  •  Develop and maintain metadata across Oracle, Redshift, AWS Glue, MicroStrategy, and Erwin. 
  •  Create and maintain database structures using Oracle and Amazon Redshift. 
  •  Develop DDL scripts manually or using Erwin modeling tools. 
  •  Tune Oracle and Redshift database performance. 
  •  Conduct Gap Analysis and Impact Analysis resulting from source system or business requirement changes. 
  •  Derive pseudo-code and business calculation logic for use by design, development, and testing teams. 
  •  Analyze large volumes of structured and semi-structured data using advanced SQL. 
  •  Identify opportunities to improve multi-data mart integration and enterprise data architecture. 
  •  Recommend technical solutions, testing methodologies, and implementation strategies. 
  •  Participate in peer reviews, code reviews, and quality assurance activities. 
  •  Collaborate with developers, architects, business analysts, QA teams, and project stakeholders. 
  •  Produce technical documentation, standards, operating procedures, and architecture documentation. 
  •  Support project planning and ensure milestones and deliverables are completed on schedule. 
  •  Troubleshoot production issues and recommend long-term solutions. 
Preferred Qualifications
The ideal candidate will also have experience with:
  •  AWS Glue ETL development 
  •  Amazon Redshift administration 
  •  MicroStrategy 2019 or higher 
  •  Erwin Data Modeler 
  •  Erwin Mapping Manager 
  •  Data Quality Rule development 
  •  Enterprise Metadata Management 
  •  Large-scale Data Warehouse modernization 
  •  Government or Public Sector projects 
Professional Skills
The successful candidate will demonstrate:
  •  Exceptional analytical and critical thinking skills 
  •  Strong organizational abilities 
  •  Excellent written and verbal communication 
  •  Ability to manage multiple priorities simultaneously 
  •  Strong collaboration and leadership skills 
  •  Extensive understanding of Software Development Life Cycle (SDLC) 
  •  Attention to detail and commitment to quality 
  •  Ability to work independently with minimal supervision