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Data Modeler Jobs in Baltimore, MD (NOW HIRING)

BIM Modeler

Columbia, MD · On-site

$70K - $100K/yr

Generate construction documents, material takeoffs, and fabrication drawings derived from BIM data ... Update models based on design revisions, RFIs, and field markups * Participate in coordination ...

Generate construction documents, material takeoffs, and fabrication drawings derived from BIM data ... Update models based on design revisions, RFIs, and field markups * Participate in coordination ...

BIM Modeler

Columbia, MD · On-site

$70K - $100K/yr

Generate construction documents, material takeoffs, and fabrication drawings derived from BIM data ... Update models based on design revisions, RFIs, and field markups * Participate in coordination ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

This includes data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment. You will conduct advanced statistical ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

This includes data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment. You will also conduct advanced ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

This will include data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment. You must have experience with ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

This will include data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment. You must have experience with ...

Experience using YAML files for data model and schema configuration. * Apache NiFi: Significant experience with NiFi administration and building/troubleshooting data flows. * AWS S3: bucket ...

Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring. * Develop production solutions in Python (pandas, PySpark ...

The individual must have experience in data modeling in the information management arena, including Medallion Architecture and Dimensional Data Modeling (e.g., Star and Snowflake schemas). This role ...

The individual must have experience in data modeling in the information management arena, including Medallion Architecture and Dimensional Data Modeling (e.g., Star and Snowflake schemas). This role ...

The individual must have experience in data modeling in the information management arena, including Medallion Architecture and Dimensional Data Modeling (e.g., Star and Snowflake schemas). This role ...

The individual must have experience in data modeling in the information management arena, including Medallion Architecture and Dimensional Data Modeling (e.g., Star and Snowflake schemas). This role ...

In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated ...

Showing results 21-40

Data Modeler information

See Baltimore, MD salary details

$10

$58

$82

How much do data modeler jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data modeler in Baltimore, MD is $58.34, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $67.84 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the most commonly searched types of Data Modeler jobs in Baltimore, MD? The most popular types of Data Modeler jobs in Baltimore, MD are:
What are popular job titles related to Data Modeler jobs in Baltimore, MD? For Data Modeler jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Baltimore, MD look for? The top searched job categories for Data Modeler jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Modeler jobs? Cities near Baltimore, MD with the most Data Modeler job openings:
Infographic showing various Data Modeler job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,346 per year, or $58.3 per hour.

Senior Data Warehouse Solutions Architect / Data Integration Engineer

Strategic Solutions

Baltimore, MD • Remote

$40 - $45/hr

Full-time

Posted 2 days ago

New


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 QualificationsApplicants 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 ExperienceCandidates 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 QualificationsThe 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 SkillsThe 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 

This is a remote position.