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Data Engineer Jobs in Mission, KS (NOW HIRING)

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

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 ...

AaraTechnologies Inc

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2-3 years experience) to support healthcare data ...

Vytalize Health

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Description of the Role As an Associate Data Engineer at Vytalize Health, you will support the data engineering team by handling critical operational tasks, resolving support tickets, and conducting ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST Choice! Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS

$111K - $133K/yr

Job Details Job Title Data Engineer Business Function Corporate Branch Name Murphy-Hoffman Company Date 04-07-2026 Address 4501 College Blvd City Leawood State KS

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer III to join our team! You'll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence ...

New

SCOR

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

We are seeking an experienced and highly motivated Data Engineer to design, build, and operate reliable data pipelines and analytics-ready datasets that power reporting and business decision-making.

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

We're looking for a Data Engineer II to join our team! You'll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence ...

New

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Data Engineering & Pipeline Development * Design, build, and maintain robust ETL pipelines that ingest, transform, and serve data across Rosnet's platform. * Develop and manage data models, schemas ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Data Engineering & Pipeline Development * Design, build, and maintain robust ETL pipelines that ingest, transform, and serve data across Rosnet's platform. * Develop and manage data models, schemas ...

Bespoke Labs

Data Engineer

Independence, MO · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Independence, MO

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Overland Park, KS · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kansas City, MO

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Overland Park, KS

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kansas City, KS

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

WellSky

Data Engineer

Overland Park, KS · On-site

$2.5K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes. The ...

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All JobsData Engineer JobsData Engineer Jobs in Mission, KS

Data Engineer information

See Mission, KS salary details

$41.5K

$121.1K

$165.7K

How much do data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data engineer in Mission, KS is $121,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Mission, KS? The most popular types of Data Engineer jobs in Mission, KS are:
What job categories do people searching Data Engineer jobs in Mission, KS look for? The top searched job categories for Data Engineer jobs in Mission, KS are:
What cities near Mission, KS are hiring for Data Engineer jobs? Cities near Mission, KS with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Mission, KS as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,096 per year, or $58.2 per hour.

Data Engineer

Murphy-Hoffman Company

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Job Details
Job Title
Data Engineer
Business Function
Corporate
Branch Name
Murphy-Hoffman Company
Date
04-07-2026
Address
4501 College Blvd
City
Leawood
State
KS
Job Overview & Essential Functions
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

About Us
MHC is an expansion of the original company, Ozark Kenworth, Inc. Ozark Kenworth started in Springfield, Missouri, in January 1975. Opening for business without a Parts or Service department and only three employees in a temporary facility. From there, the company grew and expanded. MHC is now a multi-state network of full-service diesel truck dealerships, leasing and rental operations, transport refrigeration locations, and a finance company which offers a complete array of finance and insurance services. We believe in fostering an environment that helps employees realize their full potential - a place where you can grow as a person and a professional.
Equal Opportunity Employer / Veterans / Disabled

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