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Remote Data Integration Developer Jobs in Abingdon, MD

Global Alliant Inc

API Developer

Baltimore, MD · Remote

Remote Job Duration: Contract Client: Federal Agency Key Responsibilities ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Global Alliant Inc

API Developer

Baltimore, MD · Remote

Remote Job Duration: Contract Client: Federal Agency Key Responsibilities ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Sbdinc

Senior Manager, Data Engineering

Towson, MD · Remote

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your ... Manage data acquisition and ingestion processes, including integration with PLCs, historians, SCADA ...

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Strong understanding and practical use of Git, GitHub, Azure DevOps for collaborative development ... integration and deployment of data solutions. * Documentation & Best Practices: Maintain clear ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data ... Solid understanding of Agile methodologies and DevOps practices. * Excellent communication ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ... Experience with backend systems and data integration, including data modeling and supporting APIs ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

Lifeworks

Senior Data Conversion Lead

Baltimore, MD · Remote

True work-life integration - 100% remote from anywhere in the U.S. with only occasional travel when ... Facilitate data conversion workshops and client meetings, translating technical concepts into clear ...

Aquent

Senior Martech Solutions Architect

Baltimore, MD · On-site +1

$85 - $95/hr

Extensive experience utilizing Application Programming Interfaces (APIs) for robust data integration. * Familiarity with cloud-based platforms for designing and implementing data integration ...

Index Analytics

Sr. Full Stack Engineer

Baltimore, MD · On-site +1

$133K - $183K/yr

This role includes building and maintaining data integrations, supporting cloud deployments ... Partners with Cloud Engineering, DevSecOps, and application teams to implement infrastructure as ...

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Remote Data Integration Developer information

See Abingdon, MD salary details

$10

$52

$84

How much do remote data integration developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote data integration developer in Abingdon, MD is $52.02, according to ZipRecruiter salary data. Most workers in this role earn between $43.80 and $58.56 per hour, depending on experience, location, and employer.

What is a remote data integration developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.

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

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What are some common challenges remote data integration developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

Remote Data Integration Developer jobs near you

Senior Data Warehouse Solutions Architect / Data Integration Engineer

Strategic Solutions

Baltimore, MD • Remote

$40 - $45/hr

Full-time

Posted 18 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