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 JobsJob Title: AWS Certified Data Engineer
Job Description:
We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.
Responsibilities:
- AWS Solution Design & Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.
- Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.
- Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.
- Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.
- Cloud Infrastructure & Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.
- Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).
- Performance Tuning & Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.
- Data Governance & Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.
- Monitoring & Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.
- Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.
- Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.
Qualifications
- AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics – Specialty, AWS Certified Developer – Associate).
- AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:
- Storage: S3 (for data lakes), EC2
- Data Processing: EMR, Glue, Athena, Lambda
- Networking: VPC, Subnets, Routing, Security Groups
- Containerization: EKS
- Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.
- Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.
- Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.
- Programming Languages:
- Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).
- Shell Scripting: Proficient in shell scripting for automation and operational tasks.
- Database & SQL: Strong SQL skills for data querying and manipulation.
- Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.
Good to Have Skills:
- Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.
- CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.
- Orchestration: Experience with workflow orchestration tools like Apache Airflow.
- Version Control: Proficient in using Git for source code management.
- Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.
Certifications:
- AWS Certified Solutions Architect – Associate/Professional
- AWS Certified Data Analytics – Specialty
- AWS Certified Developer – Associate
Salary Range: $125,000 to $140,000 per year
Location
Irving, TX
Job Function
TECHNOLOGY
Role
Engineer
Job Id
417220
Desired Skills
AWS
Salary Range
$125,000-$140,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
Job Title: AWS Certified Data Engineer
Job Description:
We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.
Responsibilities:
- AWS Solution Design & Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.
- Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.
- Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.
- Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.
- Cloud Infrastructure & Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.
- Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).
- Performance Tuning & Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.
- Data Governance & Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.
- Monitoring & Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.
- Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.
- Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.
Qualifications
- AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics – Specialty, AWS Certified Developer – Associate).
- AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:
- Storage: S3 (for data lakes), EC2
- Data Processing: EMR, Glue, Athena, Lambda
- Networking: VPC, Subnets, Routing, Security Groups
- Containerization: EKS
- Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.
- Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.
- Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.
- Programming Languages:
- Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).
- Shell Scripting: Proficient in shell scripting for automation and operational tasks.
- Database & SQL: Strong SQL skills for data querying and manipulation.
- Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.
Good to Have Skills:
- Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.
- CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.
- Orchestration: Experience with workflow orchestration tools like Apache Airflow.
- Version Control: Proficient in using Git for source code management.
- Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.
Certifications:
- AWS Certified Solutions Architect – Associate/Professional
- AWS Certified Data Analytics – Specialty
- AWS Certified Developer – Associate
Salary Range: $125,000 to $140,000 per year
Location
Irving, TX
Job Function
TECHNOLOGY
Role
Engineer
Job Id
417220
Desired Skills
AWS
Salary Range
$125,000-$140,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
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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.