Top 61 Data engineer Jobs in Kansas City Mo

Data Engineer
MHC —Leawood, KS
- Full-time
- Computer Science
- Office
- Senior level
- Profit sharing
- Disability insurance
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Data Engineer
MFour Mobile Research, Inc. —Kansas City, MO
- $125,000 - $150,000 a year
- Full-time
- 5 years
- Office
- SQL
- Health insurance
- Dental insurance
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Data Engineer
Wellsky —Overland Park, KS
- Full-time
- Mid-level
- Office
- Java
- Paid holidays
- Health insurance
1d
Data Engineer
Associated Wholesale Grocers —Kansas City, KS
- Full-time
- Computer science
- Azure
- Computer Science
- Wellness program
- Health savings account
Managed Services - Data Engineer - Experienced Associate
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $63,000 - $140,000 a year
- Computer Science
- Mid-level
- Java
- Paid holidays
- Health insurance
Staff Data Engineer
Wellsky —Overland Park, KS
- Full-time
- 8 years
- SQL
- Bachelor's degree
- Paid holidays
- Health insurance
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
AI Data Engineer
Rosnet LLC —Parkville, MO
- Computer Science
- 5 years
- Office
Quick Apply
4d
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
AI Data Strategy Engineer / Applied Scientist, LLM Data
Propio —Overland Park, KS
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
11d
Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $77,000 - $202,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Senior Data Engineer I
C2FO —Kansas City, MO
- Full-time
- Remote
- Computer Science
- 5 years
- System design
Quick Apply
5d
Senior Data Engineer
Berkley —Overland Park, KS
- Full-time
- Computer science
- 6 years
- Computer Science
Managed Services - Data Engineer (Databricks & Kafka) - Manager
PRICE WATERHOUSE COOPERS —Kansas City, MO
- $99,000 - $232,000 a year
- 3 years
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Software Engineer, Data Infrastructure & Acquisition - Kansas City, MO, USA
Speechify —Kansas City, MO
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
13d
Software Engineer 1 - Real Time Aviation Data
Garmin International, Inc. —Olathe, KS
- Full-time
- Computer Science
- Office
- Java
Forward Deployed Data Engineer
TENEX.AI —Overland Park, KS
- Full-time
- Hybrid work
- Computer Science
- Senior level
- Python
Senior Data Engineer
Garmin International, Inc. —Olathe, KS
- Full-time
- Computer Science
- 5 years
- Research
Principal Architect, Data Engineer - Pursuit and Capture
T-Mobile USA, Inc. —Overland Park, KS
- $116,100 - $204,100 a year
- Full-time
- Hybrid work
- 18 years or older
- Computer Science
- 5 years
- Paid parental leave
- AD&D insurance

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data engineer jobs near kansas city mo

Data Engineer

MHC -
Leawood, KS

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Job Details

Full-time

Benefits

Profit sharing
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Paid time off
On-the-job training
401(k) matching
Life insurance
Prescription drug insurance

Qualifications

Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
Cloud data warehouses
Schema design
ETL process automation
Integration Platforms (Enterprise solutions)
Cloud solution engineering
Real-time data processing implementation
Data analytics technologies
Cross-functional communication

Full Job Description

Description:
Murphy-Hoffman Company, LLC is North America’s largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer designs, builds, and supports scalable data products and platform capabilities that enable trusted, timely, and governed data across the organization. This role develops and maintains batch and real-time data pipelines, integrates data from operational and third-party systems, and transforms raw data into analytics-ready assets for reporting, self-service analytics, operational intelligence, and advanced analytics use cases. The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in Leawood, KS.

Designs, develops, tests, deploys, and maintains scalable data pipelines, ingestion solutions, and data integration processes that support batch and real-time / streaming workloads using tools and services such as Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Confluent Cloud, Kafka, and Flink.
Implements and supports change data capture (CDC), event-driven, and streaming architecture patterns, including Kafka topics, schema-aware ingestion, and near-real-time data delivery to downstream consumers.
Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases.
Creates and maintains data models, lakehouse / warehouse structures, and semantic-ready datasets that enable scalable, trusted, and high-performing downstream analytics and reporting.
Collaborates with data architects, analysts, application teams, and business stakeholders to define source-to-target mappings, business rules, data contracts, and solution designs that align with enterprise standards and business needs.
Builds and maintains reusable frameworks, templates, engineering standards, and deployment practices; including CI/CD, version control, and release processes for notebooks, dbt models, SQL objects, and pipeline definitions to improve consistency, scalability, speed, and long-term maintainability across the data platform.
Applies data quality, testing, reconciliation, monitoring, and documentation practices to ensure data completeness, accuracy, freshness, reliability, supportability, knowledge transfer, and auditability.
Troubleshoots data platform issues, production incidents, and root causes; communicates impacts and recommended resolutions clearly to technical and business stakeholders; and stays current on modern data engineering patters, platform capabilities, and security / governance requirements to recommend improvements that increase platform maturity and business value.
Performs other duties as assigned by supervisor.

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field; equivalent practical experience may be considered.
Demonstrated experience designing and building data pipelines, data integration solutions, and analytical data models in cloud data platform environments, with a strong understanding of data warehousing, dimensional modeling, lakehouse concepts, and enterprise data best practices.
Strong proficiency in SQL and data transformation techniques, with hands-on experience using Python and/or PySpark for pipeline development and data processing, as well as modern engineering practices such as dbt, source control, testing, documentation, and CI/CD.
Experience with Snowflake and/or Microsoft Fabric for data engineering, storage, transformation, and analytics enablement.
Experience working Azure Data Factory (ADF) or comparable orchestration tooling for enterprise data movement, scheduling, and workflow automation.
Experience with Confluent Cloud and Apache Kafka concepts, including topics, partitions, schemas, event-driving processing, streaming integration patters, and CDC / near-real-time data delivery.
Ability to work in a team environment and independently and collaboratively in a fast-paced environment with multiple priorities and changing requirements, with strong written and verbal communication skills and the ability to explain technical issues, tradeoffs, and recommended resolutions to diverse audiences.

Benefits:

Competitive Salary
Medical, Dental and Prescription Insurance
Disability and Life Insurance
Paid Time Off program
401k and Profit Sharing with Employer Match
Flexible Spending Account
Internal Promotion Opportunities
On the Job Training

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Refine Your Search

data engineer jobs in kansas city mo

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Managed Services - Data Engineer - Experienced Associate

Staff Data Engineer

Data Engineer - Senior Associate

AI Data Engineer

Data Engineer - Manager

AI Data Strategy Engineer / Applied Scientist, LLM Data

Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate

Data Engineer - Senior Manager

Senior Data Engineer I

Senior Data Engineer

Managed Services - Data Engineer (Databricks & Kafka) - Manager

Software Engineer, Data Infrastructure & Acquisition - Kansas City, MO, USA

Software Engineer 1 - Real Time Aviation Data

Forward Deployed Data Engineer

Senior Data Engineer

Principal Architect, Data Engineer - Pursuit and Capture

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