ZipRecruiter

Log In

1

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

Impruvon

Pharmacy Integrations Manager

Baltimore, MD · On-site +1

$80K - $110K/yr

What you're managing is the integration process itself, its timelines, communication, and delivery ... You should have a strong understanding of data formats like HL7 and JSON, be comfortable ...

Impruvon

Pharmacy Integrations Manager

Baltimore, MD

$80K - $110K/yr

What you're managing is the integration process itself, its timelines, communication, and delivery ... You should have a strong understanding of data formats like HL7 and JSON, be comfortable ...

AnaVation

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Experience with ServiceNow data integration and CMDB environments. * Strong experience with Import Sets, Transform Maps, APIs, and CMDB data structures. * Understanding of CSDM and CMDB architecture ...

krg technology inc

Big data Architect

Baltimore, MD · On-site

$63.25 - $81.50/hr

... management policies to support the Big Data platforms. Research and evaluate technical solutions including various Hadoop distributions, NoSQL databases, data integration and analytical tools with a ...

previous pagenext page

Showing results 21-40

All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Baltimore, MD

Data Integration Manager information

See Baltimore, MD salary details

$10

$51

$83

How much do data integration manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data integration manager in Baltimore, MD is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $57.79 per hour, depending on experience, location, and employer.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require skills in data management, database systems, and project coordination to facilitate seamless data flow across organizations.

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

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.
What are the most commonly searched types of Data Integration jobs in Baltimore, MD? The most popular types of Data Integration jobs in Baltimore, MD are:
What are popular job titles related to Data Integration Manager jobs in Baltimore, MD? For Data Integration Manager jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Baltimore, MD look for? The top searched job categories for Data Integration Manager jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Integration Manager jobs? Cities near Baltimore, MD with the most Data Integration Manager job openings:
Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $106,817 per year, or $51.4 per hour.

Senior Data Warehouse Solutions Architect / Data Integration Engineer

Strategic Solutions

Baltimore, MD • Remote

$40 - $45/hr

Full-time

Posted 3 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.