Entry Level Data Integration Specialist Jobs
New grad data integration specialist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Education, and Insurance, with employers like GEICO, Fipsar, and Capital One hiring at this level now.
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Showing 5 of 8+ Entry Level Data Integration Specialist jobs
INTRODUCTION
We are looking for a highly motivated Data & Integration Solution Architect to join our growing Data & AI practice and help design and deliver modern enterprise data, integration, analytics, and AI solutions for our clients. This is an excellent opportunity for an experienced Data Engineer, Technical Lead, Data Architect, or Integration Architect who has strong technical fundamentals and is ready to grow into broader solution architecture and technical leadership responsibilities.
ROLE AND RESPONSIBILITIES
Lead solution design for enterprise data, integration, analytics, and modernization initiatives.
Translate business requirements into scalable data and integration architectures.
Design solutions involving Snowflake, ETL/ELT platforms, APIs, cloud services, enterprise applications, and BI/analytics platforms.
Assess source systems, data flows, interfaces, dependencies, data quality, security, and integration requirements.
Design reusable patterns for batch, API, file-based, and event-driven integrations.
Collaborate with Snowflake, Talend, BI/Qlik, Salesforce/Veeva, AI, and application teams to develop end-to-end solutions.
Lead technical discovery sessions and architecture discussions with client and internal stakeholders.
Develop solution architecture diagrams, data flows, integration designs, technical approaches, assumptions, and implementation roadmaps.
Support project estimation, resource planning, proposals, and SOW development.
Provide architecture oversight throughout development, testing, deployment, and production transition.
* Identify opportunities to modernize data and integration platforms using cloud-native technologies, automation, and AI.
BASIC QUALIFICATIONS
Strong foundation in data engineering, data architecture, and enterprise integration.
Hands-on experience with SQL, data modeling, ETL/ELT, APIs, and modern data platforms.
Experience with a cloud data platform such as Snowflake is highly preferred.
Understanding of enterprise integration patterns, REST APIs, batch/file integrations, orchestration, data quality, and security.
Experience with ETL/integration technologies such as Talend or comparable platforms.
Exposure to BI/analytics platforms such as Qlik, Power BI, or Tableau.
Ability to understand unfamiliar enterprise applications and integration landscapes quickly.
Experience creating architecture diagrams, technical designs, data flows, and implementation plans.
Strong analytical and problem-solving skills with the ability to work through ambiguous requirements.
Good communication skills and the ability to explain technical solutions clearly to both technical and business stakeholders.
PREFERRED QUALIFICATIONS
We are especially interested in candidates who are curious, hands-on, accountable, and eager to grow. You do not need to know every technology in our clients' ecosystems. We are looking for someone with strong fundamentals who can quickly understand a new business problem, ask the right questions, collaborate with platform specialists, and develop a practical end-to-end solution. This role is ideal for someone ready to make the transition from: Senior Data Engineer / Technical Lead → Solution Architect → Enterprise Data & Integration Architect. You will have the opportunity to work directly on strategic enterprise transformation initiatives and grow into broader architecture and technical leadership responsibilities.
INTRODUCTION
We are looking for a highly motivated Data & Integration Solution Architect to join our growing Data & AI practice and help design and deliver modern enterprise data, integration, analytics, and AI solutions for our clients. This is an excellent opportunity for an experienced Data Engineer, Technical Lead, Data Architect, or Integration Architect who has strong technical fundamentals and is ready to grow into broader solution architecture and technical leadership responsibilities.
ROLE AND RESPONSIBILITIES
Lead solution design for enterprise data, integration, analytics, and modernization initiatives.
Translate business requirements into scalable data and integration architectures.
Design solutions involving Snowflake, ETL/ELT platforms, APIs, cloud services, enterprise applications, and BI/analytics platforms.
Assess source systems, data flows, interfaces, dependencies, data quality, security, and integration requirements.
Design reusable patterns for batch, API, file-based, and event-driven integrations.
Collaborate with Snowflake, Talend, BI/Qlik, Salesforce/Veeva, AI, and application teams to develop end-to-end solutions.
Lead technical discovery sessions and architecture discussions with client and internal stakeholders.
Develop solution architecture diagrams, data flows, integration designs, technical approaches, assumptions, and implementation roadmaps.
Support project estimation, resource planning, proposals, and SOW development.
Provide architecture oversight throughout development, testing, deployment, and production transition.
* Identify opportunities to modernize data and integration platforms using cloud-native technologies, automation, and AI.
BASIC QUALIFICATIONS
Strong foundation in data engineering, data architecture, and enterprise integration.
Hands-on experience with SQL, data modeling, ETL/ELT, APIs, and modern data platforms.
Experience with a cloud data platform such as Snowflake is highly preferred.
Understanding of enterprise integration patterns, REST APIs, batch/file integrations, orchestration, data quality, and security.
Experience with ETL/integration technologies such as Talend or comparable platforms.
Exposure to BI/analytics platforms such as Qlik, Power BI, or Tableau.
Ability to understand unfamiliar enterprise applications and integration landscapes quickly.
Experience creating architecture diagrams, technical designs, data flows, and implementation plans.
Strong analytical and problem-solving skills with the ability to work through ambiguous requirements.
Good communication skills and the ability to explain technical solutions clearly to both technical and business stakeholders.
PREFERRED QUALIFICATIONS
We are especially interested in candidates who are curious, hands-on, accountable, and eager to grow. You do not need to know every technology in our clients' ecosystems. We are looking for someone with strong fundamentals who can quickly understand a new business problem, ask the right questions, collaborate with platform specialists, and develop a practical end-to-end solution. This role is ideal for someone ready to make the transition from: Senior Data Engineer / Technical Lead → Solution Architect → Enterprise Data & Integration Architect. You will have the opportunity to work directly on strategic enterprise transformation initiatives and grow into broader architecture and technical leadership responsibilities.
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Find JobsEntry Level Data Integration Specialist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Distribution & Wholesale
- Banking & Financial Services
Entry Level Data Integration Specialist Jobs: Frequently Asked Questions
How do I get an entry level data integration specialist job?
Employers hiring at the entry level look for hands-on evidence over credentials: projects that demonstrate ETL pipeline work, data mapping, or API integration, whether from coursework, a bootcamp, or an internship. Familiarity with tools like SQL, Python, and at least one integration platform such as Talend or MuleSoft gives candidates a real edge. Tailor your resume to show what you built, not just what you studied.
Which companies hire entry level data integration specialists?
Companies hiring entry level data integration specialists right now include GEICO, Fipsar, and Capital One, based on current listings on Migrate Mate as of August 2026. Hiring covers large enterprises managing complex data ecosystems as well as mid-size technology and consulting firms that rely on junior specialists to support data pipeline and system integration work.
Are there remote entry level data integration specialist jobs?
Yes, though availability varies by employer and industry. About 50% of entry level data integration specialist openings are remote or hybrid as of August 2026, making this a field where location can be less of a barrier for new candidates. Many remote roles still expect occasional on-site collaboration, so check each posting for specifics.
Are these new grad data integration specialist jobs?
Yes, these listings include new grad, recent graduate, and junior data integration specialist roles. A posting is generally new-grad friendly when it welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, or explicitly invites candidates with a strong portfolio to apply. Look for language like 'entry level,' 'junior,' or 'recent graduates encouraged' in the job description.
Which industries hire the most entry level data integration specialists?
Entry Level data integration specialist roles concentrate in Technology & Software, Education, and Insurance, based on current listings on Migrate Mate as of August 2026. These sectors generate high volumes of structured and unstructured data that must move reliably between systems, making junior integration talent a consistent hiring priority even when overall tech hiring slows.