Green Card Aws Data Engineer Jobs
AWS Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, which requires employers to document recruitment efforts before filing your I-140 petition. Cloud data infrastructure skills map cleanly to DOL specialty occupation standards, making this one of the more employer-familiar paths to permanent residency sponsorship.
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Get Access To All JobsAWS AI/IoT Architect
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value. We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded Linux devices and edge AI hardware to cloud services, and building and deploying generative AI solutions on AWS using Amazon Bedrock. Our engineers own implementation from device provisioning and on-device software through cloud integration, over-the-air updates, and fleet operations. You will work with cloud, embedded, and hardware teams to deliver reliable solutions and validate them on simulated fleets and physical development boards.
Responsibilities
- Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation, using per-device X.509 certificates, mutual TLS, fleet provisioning with claim certificates, certificate revocation, and AWS Private CA.
- Develop AWS IoT Greengrass v2 components, recipes, and deployments for both the Java nucleus and nucleus lite, including on resource-constrained devices, with recovery and state-management behavior suited to the device.
- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services, including model invocation, inference settings, and integration through AWS SDKs.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector stores and vector search, retrieval quality, grounding in enterprise data, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with schema validation, controlled execution, error handling, explicit permissions, and human approval where needed.
- Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation.
- Build Python services and APIs that integrate AI capabilities with customer applications, databases, and enterprise data sources.
- Create representative evaluation datasets and automated tests to measure accuracy, grounding, extraction quality, and agent task completion; validate changes before release.
- Implement layered AI safeguards using Amazon Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injection.
- Build on-device agents in Python and C/C++ for embedded Linux, build board images with Yocto, integrate systemd services, and cross-compile and package software for Arm and other embedded targets.
- Implement secure OTA pipelines for applications, models, and supported firmware, with manifests signed using AWS KMS or AWS Signer, verification before installation, staged rollout, health checks, failure recovery, rollback, and anti-rollback controls.
- Manage static and dynamic thing groups and AWS IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status.
- Build MQTT telemetry pipelines, topic structures, versioned message schemas, and IoT rules that route data to streaming services and Amazon S3, including buffering, reconnect behavior, and duplicate-message handling.
- Test at fleet scale with containerized device simulators and real-board lab testing, covering load, connectivity, provisioning, OTA, and recovery; diagnose connectivity, interrupted updates, power-loss recovery, security, and device performance issues.
- Apply device security practices, including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys where the device supports them.
Skills You Bring With You
- Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design.
- AWS IoT Device Management and AWS IoT Device Defender, including fleet indexing, secure tunneling, and audit checks.
- Knowledge and experience in developing tenant-aware AWS backend workflows with Lambda, Step Functions, EventBridge, and DynamoDB partition design for multi-tenant data, with tenant-scoped IAM and IoT policies.
- Practical experience with RAG, embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases.
- Experience building agent workflows and tool calling, with schema validation, controlled execution, error handling, and integration with external systems.
Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; equivalent experience considered.
- 5+ years of experience in IoT, embedded software, cloud engineering, or related roles, with hands-on responsibility for production systems.
- Demonstrated delivery of AWS-connected device solutions spanning embedded Linux development, secure device lifecycle management, cloud integration, and production operations.
Additional Experience We Value
- Hailo AI processors and accelerators (Hailo-8, Hailo-10H, Hailo-15), including HailoRT, the Dataflow Compiler, and HEF artifacts.
- Microchip PolarFire SoC, including the VectorBlox SDK, VNNX artifacts, and the PolarFire security features.
- Hardware-backed device identity and key storage, including TPMs and secure elements such as Microchip ATECC608 or TA100, and approaches for devices with limited hardware key protection.
- Familiarity with EU Cyber Resilience Act requirements for security updates, vulnerability handling, and software bills of materials (SBOMs).
- Other IoT platforms, such as Avnet IoTConnect, and migration between IoT platforms.
- FPGA fundamentals, including secure bitstream packaging, deployment, compatibility validation, and recovery.
Travel Required
- Travel typically 5% or less a year
Equal Employment Opportunity
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
AWS AI/IoT Architect
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value. We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded Linux devices and edge AI hardware to cloud services, and building and deploying generative AI solutions on AWS using Amazon Bedrock. Our engineers own implementation from device provisioning and on-device software through cloud integration, over-the-air updates, and fleet operations. You will work with cloud, embedded, and hardware teams to deliver reliable solutions and validate them on simulated fleets and physical development boards.
Responsibilities
- Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation, using per-device X.509 certificates, mutual TLS, fleet provisioning with claim certificates, certificate revocation, and AWS Private CA.
- Develop AWS IoT Greengrass v2 components, recipes, and deployments for both the Java nucleus and nucleus lite, including on resource-constrained devices, with recovery and state-management behavior suited to the device.
- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services, including model invocation, inference settings, and integration through AWS SDKs.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector stores and vector search, retrieval quality, grounding in enterprise data, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with schema validation, controlled execution, error handling, explicit permissions, and human approval where needed.
- Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation.
- Build Python services and APIs that integrate AI capabilities with customer applications, databases, and enterprise data sources.
- Create representative evaluation datasets and automated tests to measure accuracy, grounding, extraction quality, and agent task completion; validate changes before release.
- Implement layered AI safeguards using Amazon Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injection.
- Build on-device agents in Python and C/C++ for embedded Linux, build board images with Yocto, integrate systemd services, and cross-compile and package software for Arm and other embedded targets.
- Implement secure OTA pipelines for applications, models, and supported firmware, with manifests signed using AWS KMS or AWS Signer, verification before installation, staged rollout, health checks, failure recovery, rollback, and anti-rollback controls.
- Manage static and dynamic thing groups and AWS IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status.
- Build MQTT telemetry pipelines, topic structures, versioned message schemas, and IoT rules that route data to streaming services and Amazon S3, including buffering, reconnect behavior, and duplicate-message handling.
- Test at fleet scale with containerized device simulators and real-board lab testing, covering load, connectivity, provisioning, OTA, and recovery; diagnose connectivity, interrupted updates, power-loss recovery, security, and device performance issues.
- Apply device security practices, including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys where the device supports them.
Skills You Bring With You
- Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design.
- AWS IoT Device Management and AWS IoT Device Defender, including fleet indexing, secure tunneling, and audit checks.
- Knowledge and experience in developing tenant-aware AWS backend workflows with Lambda, Step Functions, EventBridge, and DynamoDB partition design for multi-tenant data, with tenant-scoped IAM and IoT policies.
- Practical experience with RAG, embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases.
- Experience building agent workflows and tool calling, with schema validation, controlled execution, error handling, and integration with external systems.
Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; equivalent experience considered.
- 5+ years of experience in IoT, embedded software, cloud engineering, or related roles, with hands-on responsibility for production systems.
- Demonstrated delivery of AWS-connected device solutions spanning embedded Linux development, secure device lifecycle management, cloud integration, and production operations.
Additional Experience We Value
- Hailo AI processors and accelerators (Hailo-8, Hailo-10H, Hailo-15), including HailoRT, the Dataflow Compiler, and HEF artifacts.
- Microchip PolarFire SoC, including the VectorBlox SDK, VNNX artifacts, and the PolarFire security features.
- Hardware-backed device identity and key storage, including TPMs and secure elements such as Microchip ATECC608 or TA100, and approaches for devices with limited hardware key protection.
- Familiarity with EU Cyber Resilience Act requirements for security updates, vulnerability handling, and software bills of materials (SBOMs).
- Other IoT platforms, such as Avnet IoTConnect, and migration between IoT platforms.
- FPGA fundamentals, including secure bitstream packaging, deployment, compatibility validation, and recovery.
Travel Required
- Travel typically 5% or less a year
Equal Employment Opportunity
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
See all 349+ Green Card Aws Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Aws Data Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Aws Data Engineer
Align your credentials with EB-2 requirements
A master's degree in computer science, data engineering, or a related field positions you for EB-2 sponsorship. If you hold a bachelor's plus five years of progressive AWS-specific experience, document each role with detailed job duties to support an advanced-degree equivalency argument.
Research employers with active PERM filing history
Target companies that have filed PERM applications for data engineering roles before. DOL disclosure data shows which employers have completed the recruitment and prevailing-wage process, reducing your risk of working for an employer unfamiliar with the full EB-2 or EB-3 pipeline.
Use Migrate Mate to find green card-sponsoring roles
Filter your AWS Data Engineer job search by employers with green card sponsorship history using Migrate Mate. This surfaces companies already familiar with PERM filings for data roles, so you spend less time screening employers who have never navigated employment-based sponsorship.
Verify your offered wage meets DOL prevailing levels
Before signing an offer, check the OFLC Wage Search to confirm your offered salary meets the prevailing wage for your job zone and work location. A wage set below DOL Level I or II thresholds can delay LCA certification and stall your entire PERM timeline.
Understand how the PERM recruitment window affects your start date
PERM requires your employer to complete a formal 30-day recruitment period before filing. If you're transitioning from an expiring H-1B visa or OPT, align your offer acceptance timeline so the PERM filing begins before your current authorization runs short.
Clarify AWS-specific job duties in your PERM description
DOL audits often target vague job descriptions on PERM applications. Work with your employer to include specific AWS services you'll manage, such as Redshift, Glue, or EMR, so the role clearly requires a specialized degree rather than general IT skills.
Green Card Aws Data Engineer: Frequently Asked Questions
Does an AWS Data Engineer role qualify for EB-2 or EB-3 sponsorship?
AWS Data Engineer positions typically qualify for both EB-2 and EB-3, depending on your credentials and the employer's job requirements. EB-2 applies when the role requires a master's degree or equivalent, which is common in data engineering. EB-3 covers roles requiring a bachelor's degree. O*NET classifies data engineering work in Job Zone 4, supporting specialty occupation arguments under either category.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B sponsorship is temporary and subject to annual lottery selection, while PERM-based green card sponsorship leads to permanent residency with no lottery. The PERM process requires DOL labor certification and typically takes one to three years before an I-140 is approved, but once your priority date is current, you gain a direct path to lawful permanent residence rather than repeating visa cycles.
How long does the PERM process take for a data engineering role?
PERM labor certification for AWS Data Engineer positions currently averages six to eighteen months at DOL, depending on whether the application is audited. After PERM approval, your employer files the I-140 petition with USCIS, which adds several more months under standard processing. Candidates born in countries without significant visa backlogs can often complete the full green card process in two to four years.
Where can I find employers who sponsor green cards for AWS Data Engineers?
Migrate Mate lets you search for AWS Data Engineer jobs filtered by employers with documented green card sponsorship history. This is more reliable than filtering by job postings that mention sponsorship without any filing history behind them, since PERM filings are publicly disclosed through DOL and you can confirm an employer's track record before investing time in their process.
Can my employer start PERM while I'm on H-1B status?
Yes, employers can file PERM on your behalf while you remain on H-1B status. Starting early matters because AC21 portability protections kick in once your I-140 is approved and your PERM has been pending for 180 days, giving you flexibility to change roles without losing your priority date. USCIS allows you to maintain H-1B extensions in three-year increments once the I-140 is approved.