H-1B Visa Data Integration Engineer Jobs
Data Integration Engineer roles qualify as H-1B visa specialty occupations because the position requires at least a bachelor's degree in computer science, information systems, or a related field. Employers filing H-1B petitions for this role must certify a prevailing wage through the DOL before USCIS adjudicates the petition.
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Get Access To All JobsKey Qualifications
MUST HAVE:
-
Snowflake Data Engineering –
-
Design and implement enterprise-grade data pipelines using Snowflake, including ingestion and transformation
- Must be strong in both Core and Semantic aspects
- Develop complex SQL transformations, stored procedures and Dynamic tables inside Snowflake to enable near real-time and batch processing
- Implement Snowflake data sharing, data marketplace integrations
- Engineer Snowpipe and Kafka-to-Snowflake streaming ingestion pipelines also handling high throughput event data at scale
- Optimize Snowflake cluster performance – virtual warehouse sizing, query profiling, clustering keys
- Architecture, design aspects, performance tuning, time travel, warehouse concepts – scaling, clustering, micro-partitioning
-
Experience with SnowSQL, Snowpipe
-
Data Integration aspects –
-
Design and maintain end-to-end ETL/ELT pipelines using Apache Airflow
- Experience in building reusable parameterized data ingestion pipelines/frameworks is beneficial
-
Thorough on data quality checks
-
AI and Data Science –
-
Integrate AI/LLMs with data pipelines via Python UDFs or API callouts – enabling text analytics, semantic search and GEN-AI augmented workflows
- Experience with Python based frameworks – scikit learn, PyTorch, TensorFlow
- Experience with NLP and text-mining techniques on unstructured data to identify actionable information
-
Time-series forecasting, anomaly detection and propensity modeling
-
Experience with Data Visualization aspects
-
Hands-on experience with writing Complex queries using – Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions / SQL Performance tuning
-
Hands-on experience with ETL and Dimensional Data Modelling – Slowly Changing Dimensions (SCD – Type 1, 2, 3)
-
Good understanding of concepts like schema types, table types – fact-dimension etc. like how to design a dimension vs fact, design considerations factored etc.
-
Proficiency in Python scripting/programming – using Pandas, PyParsing, Airflow.
-
Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs
- Data Pipeline automation
-
Strong Python programming skills
-
Actively participating in discussions with business to understand requirements, perform thorough impact analysis and provide suitable solutions.
Key Words to search in Resume
Snowflake, Advanced SQL, Dimensional Data Modelling (Slowly Changing Dimensions), Python, AI, Data Science, Data Visualization
Location: Sunnyvale, CA
Salary range: $80,000-$140,000 a Year.
Location
Sunnyvale, CA
Job Function
TECHNOLOGY
Role
Engineer
Job Id
412666
Desired Skills
SQL | ETL Testing | SNOW
Salary Range
$80,000-$140,000 a year
Key Qualifications
MUST HAVE:
-
Snowflake Data Engineering –
-
Design and implement enterprise-grade data pipelines using Snowflake, including ingestion and transformation
- Must be strong in both Core and Semantic aspects
- Develop complex SQL transformations, stored procedures and Dynamic tables inside Snowflake to enable near real-time and batch processing
- Implement Snowflake data sharing, data marketplace integrations
- Engineer Snowpipe and Kafka-to-Snowflake streaming ingestion pipelines also handling high throughput event data at scale
- Optimize Snowflake cluster performance – virtual warehouse sizing, query profiling, clustering keys
- Architecture, design aspects, performance tuning, time travel, warehouse concepts – scaling, clustering, micro-partitioning
-
Experience with SnowSQL, Snowpipe
-
Data Integration aspects –
-
Design and maintain end-to-end ETL/ELT pipelines using Apache Airflow
- Experience in building reusable parameterized data ingestion pipelines/frameworks is beneficial
-
Thorough on data quality checks
-
AI and Data Science –
-
Integrate AI/LLMs with data pipelines via Python UDFs or API callouts – enabling text analytics, semantic search and GEN-AI augmented workflows
- Experience with Python based frameworks – scikit learn, PyTorch, TensorFlow
- Experience with NLP and text-mining techniques on unstructured data to identify actionable information
-
Time-series forecasting, anomaly detection and propensity modeling
-
Experience with Data Visualization aspects
-
Hands-on experience with writing Complex queries using – Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions / SQL Performance tuning
-
Hands-on experience with ETL and Dimensional Data Modelling – Slowly Changing Dimensions (SCD – Type 1, 2, 3)
-
Good understanding of concepts like schema types, table types – fact-dimension etc. like how to design a dimension vs fact, design considerations factored etc.
-
Proficiency in Python scripting/programming – using Pandas, PyParsing, Airflow.
-
Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs
- Data Pipeline automation
-
Strong Python programming skills
-
Actively participating in discussions with business to understand requirements, perform thorough impact analysis and provide suitable solutions.
Key Words to search in Resume
Snowflake, Advanced SQL, Dimensional Data Modelling (Slowly Changing Dimensions), Python, AI, Data Science, Data Visualization
Location: Sunnyvale, CA
Salary range: $80,000-$140,000 a Year.
Location
Sunnyvale, CA
Job Function
TECHNOLOGY
Role
Engineer
Job Id
412666
Desired Skills
SQL | ETL Testing | SNOW
Salary Range
$80,000-$140,000 a year
See all 158+ H-1B Visa Data Integration Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Integration Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Integration Engineer
Verify your SOC code before applying
Data Integration Engineers are most commonly classified under SOC 15-1252 (Software Developers) or 15-1242 (Database Administrators). Confirm which code your target employer uses on its LCA filings, because the prevailing wage obligation and H-1B petition narrative both depend on it.
Check LCA filing history on Migrate Mate
Search Data Integration Engineer roles on Migrate Mate to see which employers have active DOL Labor Condition Application filings for this title. That filing history tells you who is actively sponsoring, not just who claims to be open to it.
Document your ETL and pipeline tools explicitly
USCIS adjudicators scrutinize whether Data Integration Engineer duties genuinely require a specialized degree. Your resume and any RFE response should tie specific tools, such as Apache Kafka, dbt, or Talend, directly to degree-level coursework or academic training.
Target employers registered with E-Verify
If you're on OPT STEM extension and transitioning to H-1B, your current employer must already be enrolled in E-Verify. Confirming E-Verify enrollment before accepting an offer prevents work authorization gaps if cap-gap rules apply during the transition.
Request the LCA posting notice from HR
Once your employer files the LCA with DOL, they're required to post a physical or electronic notice at your worksite for ten consecutive business days. Ask HR to confirm the posting dates so you can verify compliance before your petition is filed with USCIS.
Benchmark your offered salary using OFLC Wage Search
Look up the prevailing wage for your SOC code and work location using the OFLC Wage Search before your offer letter is finalized. If the offered salary falls below the DOL wage level, the LCA will fail certification and the H-1B petition cannot proceed.
H-1B Visa Data Integration Engineer: Frequently Asked Questions
Does a Data Integration Engineer role qualify as an H-1B specialty occupation?
Yes. Data Integration Engineer positions qualify as H-1B specialty occupations because they require theoretical and practical application of highly specialized knowledge, and a bachelor's degree or higher in computer science, information systems, or a related technical field is the standard entry requirement. USCIS evaluates the actual job duties, so your employer's petition should document specific technical responsibilities rather than generic descriptions.
Which DOL wage level should a Data Integration Engineer expect on an H-1B LCA?
Most Data Integration Engineers with two or more years of experience are placed at DOL wage Level II or III, depending on supervisory duties and specialization depth. Entry-level roles at Level I are harder to defend for this title because the work typically requires independent judgment on complex pipeline architecture. Use the OFLC Wage Search to verify the prevailing wage for your specific SOC code and metro area before you negotiate an offer.
How do I find employers actively sponsoring H-1B visas for Data Integration Engineers?
Search Migrate Mate to browse Data Integration Engineer roles filtered by employers with verified DOL LCA filing history. DOL discloses LCA data publicly, so you can confirm whether a company has actually filed for this job title rather than relying on self-reported claims. Employers with consistent annual filing history for data and integration roles are your highest-probability targets for sponsorship.
Can I switch employers during the H-1B cap-gap period as a Data Integration Engineer?
Switching employers during cap-gap is possible under H-1B portability rules, but only if your new employer files an H-1B transfer petition before your OPT EAD expires and the new role is in the same or a similar occupational classification. For Data Integration Engineers, moving to a closely related title like Data Engineer or ETL Developer generally satisfies portability requirements, but confirm the SOC code alignment with your employer's immigration counsel.
What documentation strengthens an H-1B petition for a Data Integration Engineer role?
The strongest petitions for this role include a detailed job duty description tying each responsibility to a specific degree requirement, evidence that industry norms require a bachelor's degree in a relevant technical field, and documentation of any specialized certifications or graduate-level training. O*NET lists the typical education and knowledge requirements for database and software development occupations, which employers sometimes use to support specialty occupation arguments in an RFE response.