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Data Integration Manager Jobs in Maryland (NOW HIRING)

ijetconnect

Integration Data Specialist

Annapolis, MD · On-site

The ability to manage and action multiple concurrent integration projects, e.g., Single Sign-On (SSO), HR and other data integrations. * The ability to lead client-facing and internal calls. Set an ...

Peraton

Data Manager

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

Peraton

Data Manager

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

Peraton

Data Manager

Bethesda, MD · On-site

$135K - $216K/yr

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

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Data Integration Manager information

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How much do data integration manager jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data integration manager in Maryland is $50.16, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $56.44 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 Maryland?

The most popular types of Data Integration jobs in Maryland are:

What are popular job titles related to Data Integration Manager jobs in Maryland?

For Data Integration Manager jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Integration Manager jobs in Maryland look for?

The top searched job categories for Data Integration Manager jobs in Maryland are:

What cities in Maryland are hiring for Data Integration Manager jobs?

Cities in Maryland with the most Data Integration Manager job openings:

Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $104,334 per year, or $50.2 per hour.

Data Integration Specialist

KOAR Cloud Solutions

Woodlawn, MD

Full-time

Re-posted 11 days ago

Job description

Data Integration Specialist

Position Title

Data Integration Specialist

Key Required Skills:
Worked with advanced technical principals, theories, and concepts; well versed in technical products; able to work on complex technical problems and providing innovative solutions; and can work with highly experienced and technical resources.

Position Description:

· Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.

· Assembles large, complex data sets to meet business requirements.

· Works in tandem with Data Architects to align on data architecture requirements provided by the latter.

· Creates and maintains optimal data pipeline architecture.

· Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery.

· Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.

· Supports development of Data Dictionaries and Data Taxonomy for product solutions.

· Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.).

· Builds data models with Data Architect and develops data pipelines to store data in defined data models and structures.

· Demonstrates strong understanding of data integration techniques and tools (e.g., Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT)) tools and database architecture.

· Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).

· Identifies ways to improve data reliability, efficiency, and quality of data management.

· Conducts ad-hoc data retrieval for business reports and dashboards.

· Assesses the integrity of data from multiple sources.

· Manages database configuration including installing and upgrading software and maintaining relevant documentation.

· Monitors database activity and resource usage.

· Performs peer review for another Data Engineer's work.

· Assists with development, building, monitoring, maintaining, performance tuning, troubleshooting, and capacity estimation.

· Sources data from the operational systems.

· Prepares the database-loadable file(s) for the Data Warehouse.

· Manages deployment of the data acquisition tool(s).

· Monitors and maintains Data Warehouse/ELT.

· Monitors, reports, and resolves data quality.

· Works closely with all involved parties to ensure system stability and longevity.

· Supports and maintains Business Intelligence functionality.

· Evaluates, understands, and implements patches to the Data Warehouse environment.

· Loads best practices and designs multidimensional schemas.

· Attend all customer technical discussions/design/development meetings and provide technical inputs to further enhance the code quality/process.

· Provide guidance/support to other junior/mid-level developers.

· Impact functional strategy by developing new solutions, processes, standards, or operational plans that position Leidos competitively in the marketplace.

· All other duties as assigned or directed.

Skills Requirements:

***Selected candidatemust reside within two (2) hours of SSA Headquarters Woodlawn, MD***

FOUNDATION FOR SUCCESS (Basic Qualifications)
This experience is the foundation a candidate needs to be successful in this position:

  • Bachelor's degree in computer science, IT, or related field/experience
  • Must be able to obtain and maintain a Public Trust. Contract requirement.
  • 7 years of experience with Data Engineering, working with large-scale data processing and ETL pipelines.
  • 5 years of hands-on experience with data modeling, architecture, and management.
  • 5 years of experience with Relational Database Systems, Data Design, RDBMS Concepts, ETL
  • 5 years of experience working with data in cloud environments such as AWS (preferred), Azure, GCP
  • 3 years of experience in T-SQL, SQL, ELT/ETL performance tuning.

FACTORS TO HELP YOU SHINE (Required Skills)
These skills will help you succeed in this position:

  • Programming experience in Snowflake, Hadoop, or other Data Warehouse technologies; Snowflake preferred.
  • Experience in Microsoft SQL Server 2008R2 or newer.
  • Experience with SSIS or equivalent ETL tool.
  • Experience in SQL/Stored Procedure development.

HOW TO STAND OUT FROM THE CROWD (Desired Skills)
Showcase your knowledge of modern development through the following experience or skills:

  • Understanding of semi-structured / unstructured data using JSON, AVRO, Parquet, CSV, etc.
  • Experience with complex multi-server environments and high availability environments.
  • Experience using Azure Data Factory, Five Tran, Spark or other similar data integration tools.
  • Experience with system monitoring, log management, and error notification.
  • Fundamental network and IT infrastructure knowledge.
  • Highly motivated; able to work independently, multi-task, respond to changing priorities, and initiative to own specific tasks.
  • Strong problem determination, troubleshooting, and resolution skills.
  • Excellent written and oral communication skills & customer service skills.
  • Ability to work analytically to solve both tactical and strategic problems.

Education:

  • Bachelor's degree in computer science, IT, or related field and 7+ years ofexperience
  • Must be able to obtain and maintain a Public Trust. Contract requirement.

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