Data Analytics Engineer Visa Sponsorship Jobs in Missouri
Missouri's data analytics engineer market centers on Kansas City and St. Louis, where financial services firms like Edward Jones and Centene Corporation, along with major healthcare and logistics employers, actively hire for data pipeline and analytics infrastructure roles. Companies in these sectors have established H-1B visa sponsorship track records, making Missouri a realistic target for international candidates.
Find Data Analytics Engineer JobsOverview
Showing 5 of 48+ Data Analytics 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 48+ Data Analytics Engineer Jobs in Missouri with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics 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.
Data Analytics Engineer Job Roles in Missouri
See all 48+ Data Analytics Engineer Jobs in Missouri
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Analytics Engineer Jobs in MissouriData Analytics Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Missouri?
Edward Jones, Centene Corporation, Express Scripts, and Cerner (now Oracle Health) are among Missouri employers with documented H-1B sponsorship histories for data and engineering roles. Large logistics and insurance companies headquartered in the Kansas City and St. Louis metro areas also appear regularly in Department of Labor LCA filings for data analytics and data engineering positions.
Which visa types are most common for data analytics engineer roles in Missouri?
The H-1B is the most common visa for data analytics engineers in Missouri, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding L-1B intracompany transferee status or an O-1A for extraordinary ability may also find pathways, depending on their background and employer situation.
Which cities in Missouri have the most data analytics engineer sponsorship jobs?
St. Louis and Kansas City account for the large majority of data analytics engineer sponsorship opportunities in Missouri. St. Louis benefits from a concentration of financial services, healthcare IT, and insurance employers. Kansas City has a growing technology sector alongside established logistics and financial firms. Columbia sees some activity tied to the University of Missouri's research and healthcare systems.
How to find data analytics engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to search for data analytics engineer roles in Missouri without sorting through employers unlikely to sponsor. You can filter by state and role type to surface positions at Missouri-based companies with active sponsorship histories, which saves significant time compared to reviewing unfiltered postings.
Are there any Missouri-specific considerations for data analytics engineers seeking sponsorship?
Missouri's prevailing wage requirements for H-1B positions are set at the metropolitan level, so expected compensation differs between the St. Louis and Kansas City metro areas. University of Missouri and Washington University in St. Louis produce graduates who enter the local data engineering pipeline, which means competition for entry-level sponsored roles can be meaningful. Employers in healthcare and financial services tend to have more established sponsorship processes than early-stage companies.
What is the prevailing wage for sponsored data analytics 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.