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 Education, Insurance, and Distribution & Wholesale, with employers like Amazon Web Services, University of Florida, and Apple hiring at this level now.
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Texas Health Resources seeks Data Integration Engineer II for Arlington, TX. Background check req'd. Send resume to HR, 612 E. Lamar Blvd., Ste. 1400, Arlington, TX 76011 or apply online at www.texashealth.org/careers. EOE.
Data Integration Engineer II: Design, develop, implement, and support data integration solutions that support resiliency, stability, and supportability of information technology systems; perform rapid development and refinement of data integration solutions using Infosphere DataStage or equivalent ETL software, Relational Databases, SQL Scripting and other database utilities, Unix Scripting and related technologies; work with business sponsors and application development teams including business requirements review and interpretation, availability, quality, and lineage of source system data analysis, data mapping from source to target by applying data warehousing methodologies and related data integration solutions development and implementation, and socialization of data integration standards; support Data Warehouse applications and utilize tools to manage source system changes, optimize applications and ensure availability, accuracy, security, and performance; work with business to ensure standards and best practices, and data governance requirements compliance; and serve as subject matter expert with regard to data integration technical questions and capabilities.
Education Requirements: Bachelor’s degree in Engineering, Computer Engineering, Computer Science, Information Technology, or a closely related field.
Work Experience Requirements: Five (5) years of progressive professional work experience in computer systems, including InfoSphere Information Server products such as DataStage or equivalent ETL software, Data Warehousing including Relational Databases, SQL Scripting and other Database utilities, Unix Scripting, source and target models translation into technical specifications, and technical specifications analysis and solutions development by applying warehousing methodologies.
Alternative Requirements: Master’s degree in Engineering, Computer Engineering, Computer Science, Information Technology or a closely related field and two (2) years of professional work experience in computer systems, including InfoSphere Information Server products such as DataStage or equivalent ETL software, Data Warehousing including Relational Databases, SQL Scripting and other Database utilities, Unix Scripting, source and target models translation into technical specifications, and technical specifications analysis and solutions development by applying warehousing methodologies. Will accept any suitable combination of education, training, or experience.
Additional Requirements: Background check required.
Texas Health Resources seeks Data Integration Engineer II for Arlington, TX. Background check req'd. Send resume to HR, 612 E. Lamar Blvd., Ste. 1400, Arlington, TX 76011 or apply online at www.texashealth.org/careers. EOE.
Data Integration Engineer II: Design, develop, implement, and support data integration solutions that support resiliency, stability, and supportability of information technology systems; perform rapid development and refinement of data integration solutions using Infosphere DataStage or equivalent ETL software, Relational Databases, SQL Scripting and other database utilities, Unix Scripting and related technologies; work with business sponsors and application development teams including business requirements review and interpretation, availability, quality, and lineage of source system data analysis, data mapping from source to target by applying data warehousing methodologies and related data integration solutions development and implementation, and socialization of data integration standards; support Data Warehouse applications and utilize tools to manage source system changes, optimize applications and ensure availability, accuracy, security, and performance; work with business to ensure standards and best practices, and data governance requirements compliance; and serve as subject matter expert with regard to data integration technical questions and capabilities.
Education Requirements: Bachelor’s degree in Engineering, Computer Engineering, Computer Science, Information Technology, or a closely related field.
Work Experience Requirements: Five (5) years of progressive professional work experience in computer systems, including InfoSphere Information Server products such as DataStage or equivalent ETL software, Data Warehousing including Relational Databases, SQL Scripting and other Database utilities, Unix Scripting, source and target models translation into technical specifications, and technical specifications analysis and solutions development by applying warehousing methodologies.
Alternative Requirements: Master’s degree in Engineering, Computer Engineering, Computer Science, Information Technology or a closely related field and two (2) years of professional work experience in computer systems, including InfoSphere Information Server products such as DataStage or equivalent ETL software, Data Warehousing including Relational Databases, SQL Scripting and other Database utilities, Unix Scripting, source and target models translation into technical specifications, and technical specifications analysis and solutions development by applying warehousing methodologies. Will accept any suitable combination of education, training, or experience.
Additional Requirements: Background check required.
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Find JobsEntry Level Data Integration Engineer Job Market
Who's Hiring
- Amazon Web Services2
- University of Florida2
- Apple1
- GEICO1
- Alithya1
Top Industries Hiring
- Education5
- Insurance2
- Distribution & Wholesale2
- Human Resources1
- Technology & Software1
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 Amazon Web Services, University of Florida, and Apple, based on current listings on Migrate Mate as of July 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 July 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 Education, Insurance, and Distribution & Wholesale, based on current listings on Migrate Mate as of July 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.