Entry Level Data Integration Engineer Jobs
New grad data integration engineer 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 are on-site roles 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 Engineer 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 Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Distribution & Wholesale
- Banking & Financial Services
Entry Level Data Integration Engineer Jobs: Frequently Asked Questions
How do I get an entry level data integration engineer job?
Build hands-on experience with ETL tools, SQL, and at least one cloud platform like AWS or Azure, since these appear consistently in entry level job postings. A portfolio project that demonstrates a working data pipeline from ingestion to transformation carries real weight at this stage. Internship experience in data engineering or a related field also gives you a concrete edge over candidates with coursework alone.
Which companies hire entry level data integration engineers?
Companies hiring entry level data integration engineers right now include GEICO, Fipsar, and Capital One, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large technology firms, financial services companies, healthcare organizations, and consulting teams that build and maintain data infrastructure for enterprise clients.
Are there remote entry level data integration engineer jobs?
Yes, though remote availability varies by employer and project type. About 50% of entry level data integration engineer openings are remote or hybrid as of August 2026, so a meaningful share of roles do offer location flexibility even at the junior stage. On-site roles remain common where teams collaborate closely on pipeline architecture or system integrations.
Are these new grad data integration engineer jobs?
Yes, many of these openings are new grad and junior roles that welcome recent graduates with zero to two years of experience. A new grad friendly posting typically accepts internship work, academic projects, or a portfolio in place of full-time professional experience. Look for language like "entry level," "recent graduates welcome," or "0 to 2 years" in the job description as clear signals the employer is open to candidates early in their career.
Which industries hire the most entry level data integration engineers?
Entry Level data integration engineer roles concentrate in Technology & Software, Education, and Insurance, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they manage large, complex data ecosystems that require engineers who can build and maintain the pipelines connecting upstream sources to downstream analytics and reporting systems.