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Senior Data Engineer

Pay
$117,900–173,393/yearAnnual period assumed. Location-specific pay — pay source
This position was posted on 10/16/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range: $117,900 - $173,393 The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workWork Visa sponsorship is not available for this position

What you’ll work on

Full posting
  • Design and maintain cloud data pipelines and Snowflake data structures

  • Build and optimize PySpark ETL jobs for S3-to-Aurora data loading

  • Develop Aurora PostgreSQL schemas, stored procedures, and batch and real-time loads

  • Design Kafka topics, partitions, retention and access controls

  • Build AWS Lambda functions and EventBridge schedules to orchestrate pipelines and alerts

From the employer’s posting
Designing, building and maintaining optimal cloud data pipelines, architecture and data sets for ETL
Building and optimizing PySpark ETL jobs for S3-to-Aurora data loading
Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries
Design and support Kafka topics, partitions, retention policies, and access controls
Develop and maintain AWS Lambda functions and Event Bridge schedules and rules to orchestrate pipeline workflows
Education & alternatives
We are excited to talk if you have: - Bachelor’s Degree in Information Technology and at least 5 years of experience in a technical role supporting and designing application technologies OR at least 8 years of relevant work experience in a technical role supporting and designing application technologies. - At least 5 years of experience in cloud data development / engineering, specifically utilizing Azure or AWS, with hands-on experience deploying and managing Snowflake data platforms.
Apply at Umb Financial

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
51
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 19

Similar jobs usually come down between day 6 and day 54.

At Umb Financial, jobs usually come down by about day 19.

From 10,872 similar postings that came down, and 8 of Umb Financial’s. Coming down is not always a hire.

Umb Financial is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Azure
  • Kafka
  • PostgreSQL
  • S3
  • Snowflake
  • PySpark
Where the posting names them
The Enterprise Data Warehouse & Analytics team provides support of our data warehouse environment and analytics tools. This allows our business leaders access to business intelligence data in order to develop strategies for our organization to grow. As a Sr. Data Engineer, you will be involved in implementing Snowflake cloud strategies, modernizing legacy systems, building real-time reporting solutions, and coding for the future of data processing using technologies included but not limited to AWS, Confluent Kafka, Aurora PostgreSQL, Snowflake, Matillion and Informatica. This is a subset of the overall responsibilities which will include multiple initiatives assigned by IT leadership. How you will spend your time:
- Building and optimizing PySpark ETL jobs for S3-to-Aurora data loading using metadata-driven mappings and field validation along with collecting performance metrics. - Develop and maintain AWS Lambda functions and Event Bridge schedules and rules to orchestrate pipeline workflows, handle operational status, and send alerts. - Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues.
- Bachelor’s Degree in Information Technology and at least 5 years of experience in a technical role supporting and designing application technologies OR at least 8 years of relevant work experience in a technical role supporting and designing application technologies. - At least 5 years of experience in cloud data development / engineering, specifically utilizing Azure or AWS, with hands-on experience deploying and managing Snowflake data platforms. - At least 5 years of experience with Data Pipeline Development and Business Intelligence implementations, featuring subject matter expertise in Modern Data Platform architectures including Apache Kafka for streaming, PostgreSQL DB management, and Precisely for data integration and replication.
How you will spend your time: - Designing, building and maintaining optimal cloud data pipelines, architecture and data sets for ETL, real-time architecture, and data sets for streaming and ETL using Kafka and Precisely, alongside Snowflake structures. This includes cloud data platform structures to organize and store data. - Building and optimizing PySpark ETL jobs for S3-to-Aurora data loading using metadata-driven mappings and field validation along with collecting performance metrics.
- Implementing governance and data lifecycle management strategies around the flow of data within UMB which includes policy and automated approaches. Implementing organizational models to oversee data collection, storage, and utilization. - Design and support Kafka topics, partitions, retention policies, and access controls to meet data-volume and availability needs. Build and maintain producers and consumers that publish and process events reliably, preserving key-based ordering where required. - Mentoring team members in collaboration with the senior architect while applying cloud expertise to modernize technologies and evaluate complex data trends.
- At least 5 years of experience in cloud data development / engineering, specifically utilizing Azure or AWS, with hands-on experience deploying and managing Snowflake data platforms. - At least 5 years of experience with Data Pipeline Development and Business Intelligence implementations, featuring subject matter expertise in Modern Data Platform architectures including Apache Kafka for streaming, PostgreSQL DB management, and Precisely for data integration and replication. - A business first mindset and comfortable with change as well as having a passion to learn and use new modern technologies, including databases, code sets, and integration best practices.
- Develop and maintain AWS Lambda functions and Event Bridge schedules and rules to orchestrate pipeline workflows, handle operational status, and send alerts. - Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues. - Building and managing high-performance relational database structures, focusing on PostgreSQL DB replication, optimization, and real-time reporting pipelines. Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues.
- Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues. - Building and managing high-performance relational database structures, focusing on PostgreSQL DB replication, optimization, and real-time reporting pipelines. Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues. - Implementing governance and data lifecycle management strategies around the flow of data within UMB which includes policy and automated approaches. Implementing organizational models to oversee data collection, storage, and utilization.
- Designing, building and maintaining optimal cloud data pipelines, architecture and data sets for ETL, real-time architecture, and data sets for streaming and ETL using Kafka and Precisely, alongside Snowflake structures. This includes cloud data platform structures to organize and store data. - Building and optimizing PySpark ETL jobs for S3-to-Aurora data loading using metadata-driven mappings and field validation along with collecting performance metrics. - Develop and maintain AWS Lambda functions and Event Bridge schedules and rules to orchestrate pipeline workflows, handle operational status, and send alerts.

Your next step

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Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The Enterprise Data Warehouse & Analytics team provides support of our data warehouse environment and analytics tools.  This allows our business leaders access to business intelligence data in order to develop strategies for our organization to grow.

 

As a Sr. Data Engineer,  you will be involved in implementing Snowflake cloud strategies, modernizing legacy systems, building real-time reporting solutions, and coding for the future of data processing using technologies included but not limited to AWS, Confluent Kafka, Aurora PostgreSQL, Snowflake, Matillion and Informatica.  This is a subset of the overall responsibilities which will include multiple initiatives assigned by IT leadership.

 

How you will spend your time:

  • Designing, building and maintaining optimal cloud data pipelines, architecture and data sets for ETL, real-time architecture, and data sets for streaming and ETL using Kafka and Precisely, alongside Snowflake structures.  This includes cloud data platform structures to organize and store data.
  • Building and optimizing PySpark ETL jobs for S3-to-Aurora data loading using metadata-driven mappings and field validation along with collecting performance metrics.
  • Develop and maintain AWS Lambda functions and Event Bridge schedules and rules to orchestrate pipeline workflows, handle operational status, and send alerts.
  • Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues.
  • Building and managing high-performance relational database structures, focusing on PostgreSQL DB replication, optimization, and real-time reporting pipelines. Develop and optimize Aurora PostgreSQL schemas, stored procedures, Real time and batch-load processes, indexes, and queries; troubleshoot database and data-processing issues.
  • Implementing governance and data lifecycle management strategies around the flow of data within UMB which includes policy and automated approaches.  Implementing organizational models to oversee data collection, storage, and utilization.
  • Design and support Kafka topics, partitions, retention policies, and access controls to meet data-volume and availability needs. Build and maintain producers and consumers that publish and process events reliably, preserving key-based ordering where required.
  • Mentoring team members in collaboration with the senior architect while applying cloud expertise to modernize technologies and evaluate complex data trends.
  • Evaluating, assessing and translation of data including identifying anomalies, trends and correlation of similar data sets. 
  • Creating models and standards to govern which data is to be collected, how it is stored, arranged, and utilized in data systems and within the organization. 

We are excited to talk if you have:

  • Bachelor’s Degree in Information Technology and at least 5 years of experience in a technical role supporting and designing application technologies OR at least 8 years of relevant work experience in a technical role supporting and designing application technologies. 
  • At least 5 years of experience in cloud data development / engineering, specifically utilizing Azure or AWS, with hands-on experience deploying and managing Snowflake data platforms.
  • At least 5 years of experience with Data Pipeline Development and Business Intelligence implementations, featuring subject matter expertise in Modern Data Platform architectures including Apache Kafka for streaming, PostgreSQL DB management, and Precisely for data integration and replication.
  • A business first mindset and comfortable with change as well as having a passion to learn and use new modern technologies, including databases, code sets, and integration best practices. 

 

Bonus Points if you have:

  • Banking or financial services industry experience.

 

Applicants must have legal authority to work in the United States.  Work Visa sponsorship is not available for this position.

 

 

This position was posted on 10/16/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.



Compensation Range:

$117,900 - $173,393

The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.

UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more?
You're more than a means to an end—a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.


UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.


If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.


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Pay
This position was posted on 10/16/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range: $117,900 - $173,393 The posted compensation range on this listing represents UMB’s good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.
Location & working pattern

Kansas City MO

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Banking or financial services industry experience. Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position. This position was posted on 10/16/2026. The application deadline for this position is 45 days from the posting date unless filled earlier.

 Compensation Range:

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