Green Card Data Integration Engineer Jobs
Data Integration Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers document that no qualified U.S. worker is available before filing an I-140 petition on your behalf, leading to permanent residency rather than a temporary visa status.
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Get Access To All JobsAbout mPulse: mPulse is the leader in conversational AI and member engagement for healthcare. We partner with the nation's most innovative health plans — Medicare Advantage, Medicaid, and Commercial — to engage members in conversations that close care gaps, improve Stars ratings, and drive better health outcomes. Our platform reaches tens of millions of Americans and is built on the belief that better health starts with better conversations.
Job Summary
We are seeking a curious and detail-oriented Data Engineer to join our Data Operations team. In this role, you will help build, operate, and improve the healthcare data pipelines that power our analytics and AI platforms. You will collaborate with engineers, analysts, and implementation teams to ensure data is accurately ingested, processed, and delivered across the organization.
This is an ideal opportunity for someone early in their data engineering career who enjoys working with complex real-world data and is eager to grow their skills in modern data platforms within a healthcare technology environment.
Duties & Responsibilities
- Monitor and support the daily operation of production data pipelines to ensure successful data processing and workflow execution.
- Troubleshoot pipeline failures and assist in resolving data processing issues, escalating complex problems when necessary.
- Investigate and help resolve data quality issues, anomalies, and discrepancies, particularly within healthcare datasets.
- Perform data validation and testing to ensure accuracy, completeness, and consistency of integrated data.
- Analyze datasets to identify patterns, irregularities, and potential data issues, supporting proactive data quality improvements.
- Collaborate with implementation teams to understand client data formats and integration requirements.
- Assist with data reconciliation and validation during client onboarding and integration processes.
- Write and optimize SQL queries to support data transformations, validation, and analysis tasks.
- Assist in the development, testing, and maintenance of data integration pipelines.
- Create and maintain documentation for data workflows, pipeline behavior, and operational procedures.
- Participate in code reviews and incorporate feedback to improve code quality and development practices.
Technology Stack
We are mid-migration to a modern data platform. You’ll work across both environments and contribute to the transition.
Current Environment
- SQL Server
- Python
- PowerShell
- Jenkins
Target Platform
- Snowflake
- Astronomer / Apache Airflow
- Python-based pipelines
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
- Proficiency in SQL and experience working with relational databases, including writing queries for data analysis and transformation.
- Experience with scripting or automation using Python or a comparable programming language to support data processing or integration tasks.
- Familiarity with ETL/ELT concepts and data pipeline fundamentals, including data ingestion, transformation, and validation processes.
- Strong analytical and problem-solving skills, with the ability to investigate data issues and identify root causes.
- Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience working with healthcare data, including Medicare, Medicaid, or medical claims datasets.
- Familiarity with common healthcare code sets, such as ICD, CPT, or HCPCS.
- Exposure to modern data platforms and tools, such as Snowflake, Apache Airflow, or cloud-based data environments.
- Familiarity with CI/CD practices or tools, such as Jenkins or GitHub Actions.
- Understanding of data warehousing concepts, including dimensional modeling and analytics-oriented data structures.
Why Join Us
You will have the opportunity to work on modern data platforms and tools, collaborate with cross-functional teams, and help build reliable data systems that drive meaningful insights and business value.
- Meaningful work with direct impact on healthcare outcomes
- Remote-friendly environment
- Opportunities for professional growth and skill development
- Comprehensive healthcare coverage
- Please note, due to the requirements of this position, responses may automatically disqualify you from moving forward in the application process. Please review minimum qualifications thoroughly before applying.
Why mPulse?
- Remote-First & Flexible PTO — work from wherever you're most productive
- 100% Company-Paid Employee Coverage - Medical, dental, and vision plans with a 100% company-paid employee-only option, plus company contributions toward dependent coverage and company-paid life and disability insurance.
- 401(k) + 4% Match — with financial advisors to help you plan
- 6 Weeks Parental Leave
- Invest in You — 30-60-90 day plans and frequent training
- Culture of Recognition — peer-to-peer bonuses & team celebrations
Equal Opportunity: mPulse is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions at mPulse are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
If you require any accommodations during the application, interview, or assessment process due to a disability or any other accessibility-related concern, please do not hesitate to reach out to our People Ops and Recruiting team at careers@mpulse.com
About mPulse: mPulse is the leader in conversational AI and member engagement for healthcare. We partner with the nation's most innovative health plans — Medicare Advantage, Medicaid, and Commercial — to engage members in conversations that close care gaps, improve Stars ratings, and drive better health outcomes. Our platform reaches tens of millions of Americans and is built on the belief that better health starts with better conversations.
Job Summary
We are seeking a curious and detail-oriented Data Engineer to join our Data Operations team. In this role, you will help build, operate, and improve the healthcare data pipelines that power our analytics and AI platforms. You will collaborate with engineers, analysts, and implementation teams to ensure data is accurately ingested, processed, and delivered across the organization.
This is an ideal opportunity for someone early in their data engineering career who enjoys working with complex real-world data and is eager to grow their skills in modern data platforms within a healthcare technology environment.
Duties & Responsibilities
- Monitor and support the daily operation of production data pipelines to ensure successful data processing and workflow execution.
- Troubleshoot pipeline failures and assist in resolving data processing issues, escalating complex problems when necessary.
- Investigate and help resolve data quality issues, anomalies, and discrepancies, particularly within healthcare datasets.
- Perform data validation and testing to ensure accuracy, completeness, and consistency of integrated data.
- Analyze datasets to identify patterns, irregularities, and potential data issues, supporting proactive data quality improvements.
- Collaborate with implementation teams to understand client data formats and integration requirements.
- Assist with data reconciliation and validation during client onboarding and integration processes.
- Write and optimize SQL queries to support data transformations, validation, and analysis tasks.
- Assist in the development, testing, and maintenance of data integration pipelines.
- Create and maintain documentation for data workflows, pipeline behavior, and operational procedures.
- Participate in code reviews and incorporate feedback to improve code quality and development practices.
Technology Stack
We are mid-migration to a modern data platform. You’ll work across both environments and contribute to the transition.
Current Environment
- SQL Server
- Python
- PowerShell
- Jenkins
Target Platform
- Snowflake
- Astronomer / Apache Airflow
- Python-based pipelines
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
- Proficiency in SQL and experience working with relational databases, including writing queries for data analysis and transformation.
- Experience with scripting or automation using Python or a comparable programming language to support data processing or integration tasks.
- Familiarity with ETL/ELT concepts and data pipeline fundamentals, including data ingestion, transformation, and validation processes.
- Strong analytical and problem-solving skills, with the ability to investigate data issues and identify root causes.
- Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience working with healthcare data, including Medicare, Medicaid, or medical claims datasets.
- Familiarity with common healthcare code sets, such as ICD, CPT, or HCPCS.
- Exposure to modern data platforms and tools, such as Snowflake, Apache Airflow, or cloud-based data environments.
- Familiarity with CI/CD practices or tools, such as Jenkins or GitHub Actions.
- Understanding of data warehousing concepts, including dimensional modeling and analytics-oriented data structures.
Why Join Us
You will have the opportunity to work on modern data platforms and tools, collaborate with cross-functional teams, and help build reliable data systems that drive meaningful insights and business value.
- Meaningful work with direct impact on healthcare outcomes
- Remote-friendly environment
- Opportunities for professional growth and skill development
- Comprehensive healthcare coverage
- Please note, due to the requirements of this position, responses may automatically disqualify you from moving forward in the application process. Please review minimum qualifications thoroughly before applying.
Why mPulse?
- Remote-First & Flexible PTO — work from wherever you're most productive
- 100% Company-Paid Employee Coverage - Medical, dental, and vision plans with a 100% company-paid employee-only option, plus company contributions toward dependent coverage and company-paid life and disability insurance.
- 401(k) + 4% Match — with financial advisors to help you plan
- 6 Weeks Parental Leave
- Invest in You — 30-60-90 day plans and frequent training
- Culture of Recognition — peer-to-peer bonuses & team celebrations
Equal Opportunity: mPulse is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions at mPulse are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
If you require any accommodations during the application, interview, or assessment process due to a disability or any other accessibility-related concern, please do not hesitate to reach out to our People Ops and Recruiting team at careers@mpulse.com
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Integration Engineer
Document your ETL and pipeline credentials precisely
PERM requires your employer to match your education and experience to the specific role. Pull transcripts, certification records, and employment letters that map directly to data integration tools like Kafka, Spark, or Airflow before any filing begins.
Search Migrate Mate for active PERM-sponsoring employers
Use Migrate Mate to filter Data Integration Engineer roles by green card sponsorship history. This surfaces employers who have already completed PERM filings for comparable roles, cutting your research time significantly.
Target employers whose tech stack matches your specialization
PERM job descriptions are written around a specific set of duties and tools. Employers sponsoring data integration roles in cloud-native environments, for example AWS Glue or Azure Data Factory, already have templates that fit your background.
Understand the EB-2 versus EB-3 classification before negotiating
EB-2 requires an advanced degree or its equivalent in relevant experience. EB-3 covers professionals with a bachelor's degree. Your classification affects priority date wait times, so confirm which category your offer supports before accepting.
Verify the employer's prevailing wage compliance using OFLC Wage Search
DOL requires your offered wage to meet or exceed the prevailing wage for your role and location. Run your job title and location through OFLC Wage Search before your offer is finalized to confirm the employer's wage offer will clear PERM audit.
Check that your role's O*NET classification supports specialty occupation
USCIS and DOL both reference O*NET when evaluating whether a position qualifies for employment-based sponsorship. Confirm your specific duties align with the O*NET profile for Data Integration Engineer to avoid a PERM denial based on job description mismatch.
Green Card Data Integration Engineer: Frequently Asked Questions
Does a Data Integration Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Both categories apply depending on your credentials. EB-3 covers professionals with a bachelor's degree in computer science, information systems, or a related field. EB-2 applies if you hold a master's degree or have a bachelor's degree plus five or more years of progressive experience in data integration. Your employer selects the category when filing the PERM labor certification, so confirm which classification your offer supports before the process begins.
How does green card sponsorship differ from H-1B for Data Integration Engineer roles?
Green card sponsorship through PERM leads to permanent residency, not a temporary visa with a fixed expiration date. Unlike the H-1B visa, EB-3 has no annual lottery, which removes the selection risk that blocks many candidates from even starting the process. The tradeoff is timeline: PERM, I-140, and adjustment of status typically run two to five years depending on your country of birth and priority date, compared to H-1B approval in a few months.
What does the PERM labor certification process look like for a data integration role?
Your employer files a PERM application with DOL after completing a supervised recruitment campaign proving no qualified U.S. worker was available for the role. The job description must reflect your actual duties, including specific tools and platforms you work with. DOL analyst review currently averages well over a year, so employers with dedicated immigration teams typically start the PERM process well before your H-1B status nears its limit.
How can I find Data Integration Engineer jobs that already sponsor green cards?
Migrate Mate lets you search specifically for Data Integration Engineer roles from employers with verified green card sponsorship history. Filtering by sponsorship type upfront means you're only engaging with companies that have completed PERM filings before, which signals both willingness and internal HR infrastructure to see the process through.
Can my employer start my green card process while I'm on H-1B status?
Yes, and starting early is standard practice. Many employers begin PERM while you're in your third year of H-1B status, because an approved I-140 before year six lets you extend your H-1B indefinitely in one-year increments under AC21 portability rules. Data integration roles at larger technology and financial services employers often have templated PERM job descriptions ready, which speeds up the early filing stages.