Cloud Data Engineer Visa Sponsorship Jobs in Missouri
Missouri's cloud data engineer market is anchored by employers in St. Louis and Kansas City, including major names in healthcare IT, financial services, and enterprise technology such as Centene, Edward Jones, and Cerner. Companies here regularly hire cloud data engineers and have established visa sponsorship programs, making Missouri a practical destination for international candidates targeting H-1B visa and related work visas.
Find Cloud Data Engineer JobsOverview
Showing 5 of 35+ Cloud Data Engineer Jobs in Missouri with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 35+ Cloud Data Engineer Jobs in Missouri with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer Jobs in Missouri with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.
Let’s talk about how you can find your place here at Stifel, where success meets success.
ROLE AND RESPONSIBILITIES
The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.
- Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
- Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
- Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
- Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.
BASIC QUALIFICATIONS
- Proficient in programming languages such as Python and SQL for database querying and manipulation.
- Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
- Knowledge of database design principles and experience with database management systems.
- Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
- Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
- Skilled at integrating disparate data sources and ensuring data quality and consistency.
- Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
- Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
- Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
- Ability to analyze complex data sets, identify patterns, and derive actionable insights.
- Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
- Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
EDUCATION & EXPERIENCE
- Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
- Minimum Required: 7+ years of post-bachelor progressive experience in data engineering.
LICENSES & CREDENTIALS
- Minimum Required: None.
SYSTEMS & TECHNOLOGY
- Proficient in the following computer languages:
- Python
- SQL
- AWS technologies to include:
- Glue
- S3
- Redshift
- Lambda
- Lake Formation
- DataZone
ABOUT STIFEL
Stifel is more than 130 years old and still thinking like a start-up. We are a global wealth management and investment banking firm serious about innovation and fresh ideas. Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.
While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations. Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more. Let’s talk about how you can find your place here at Stifel, where success meets success.
At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.
Stifel is an Equal Opportunity Employer.
INTRODUCTION
Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.
Let’s talk about how you can find your place here at Stifel, where success meets success.
ROLE AND RESPONSIBILITIES
The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.
- Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
- Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
- Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
- Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.
BASIC QUALIFICATIONS
- Proficient in programming languages such as Python and SQL for database querying and manipulation.
- Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
- Knowledge of database design principles and experience with database management systems.
- Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
- Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
- Skilled at integrating disparate data sources and ensuring data quality and consistency.
- Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
- Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
- Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
- Ability to analyze complex data sets, identify patterns, and derive actionable insights.
- Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
- Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
EDUCATION & EXPERIENCE
- Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
- Minimum Required: 7+ years of post-bachelor progressive experience in data engineering.
LICENSES & CREDENTIALS
- Minimum Required: None.
SYSTEMS & TECHNOLOGY
- Proficient in the following computer languages:
- Python
- SQL
- AWS technologies to include:
- Glue
- S3
- Redshift
- Lambda
- Lake Formation
- DataZone
ABOUT STIFEL
Stifel is more than 130 years old and still thinking like a start-up. We are a global wealth management and investment banking firm serious about innovation and fresh ideas. Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.
While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations. Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more. Let’s talk about how you can find your place here at Stifel, where success meets success.
At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.
Stifel is an Equal Opportunity Employer.
Cloud Data Engineer Job Roles in Missouri
See all 35+ Cloud Data Engineer Jobs in Missouri
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Cloud Data Engineer Jobs in MissouriCloud Data Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Missouri?
Several large Missouri employers have consistent track records of sponsoring work visas for cloud data engineers. In St. Louis, Centene Corporation, Edward Jones, and Mastercard's regional operations are active sponsors. In Kansas City, Cerner (now Oracle Health) and Garmin have filed LCAs for cloud and data engineering roles. Enterprise software firms and large healthcare IT organizations in Missouri tend to have dedicated immigration support processes for these positions.
Which visa types are most common for cloud data engineers in Missouri?
The H-1B is the most common visa category for cloud data engineers in Missouri, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some employers also sponsor L-1B visas for intracompany transferees with specialized knowledge. Candidates with Australian citizenship may pursue the E-3 visa, and Canadian or Mexican nationals may qualify under the TN visa category for computer systems analyst roles.
Which cities in Missouri have the most cloud data engineer sponsorship jobs?
St. Louis and Kansas City account for the significant majority of cloud data engineer sponsorship activity in Missouri. St. Louis has a strong concentration of financial services, healthcare, and insurance employers with established engineering teams. Kansas City has grown as a technology hub, particularly around health IT and logistics technology companies. Columbia, home to the University of Missouri, sees some sponsorship activity through research institutions and university-affiliated tech roles, though at a smaller scale.
How to find cloud data engineer visa sponsorship jobs in Missouri?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, and you can filter directly by state and job title to surface cloud data engineer positions in Missouri. Because sponsorship isn't always advertised explicitly in job postings, Migrate Mate focuses on employers with documented sponsorship histories, which saves time when targeting Missouri-based companies in sectors like healthcare IT, financial services, and enterprise technology.
Are there any Missouri-specific factors cloud data engineers should know before pursuing sponsorship?
Missouri's cloud data engineering market is closely tied to healthcare IT and financial services, meaning most sponsoring employers expect familiarity with platforms like AWS, Azure, or Google Cloud alongside data pipeline tools relevant to regulated industries. The Department of Labor requires employers to pay the prevailing wage for the specific role and location, which is determined by the St. Louis or Kansas City metropolitan area wage data, not a statewide average. University of Missouri and Washington University in St. Louis also generate a pipeline of international graduates who compete for the same sponsored roles.
What is the prevailing wage for sponsored cloud data engineer jobs in Missouri?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.