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Data Engineer Data Jobs in Kansas (NOW HIRING)

Data Engineer

Lenexa, KS

$107K - $129K/yr

Data Engineer ID 2991 Type Full-Time Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to ...

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to understand and translate business ...

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to understand and translate business ...

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Responsibilities: Work with product owners to understand and translate business requirements into technical ...

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

Data Engineer 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 ...

Data Engineer

Leawood, KS · On-site

$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 Job Overview & Essential Functions ...

Data Engineer

Leawood, KS · On-site

$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

Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

Description The data engineer provides technical data support to cross functional teams who are diagnosing, troubleshooting, computer systems & complex software. Responds to situations where first ...

Data Engineer

Overland Park, KS · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Data Engineer II

Overland Park, KS

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Sr Data Engineer

Overland Park, KS

$108K - $130K/yr

Sr Data Engineer Location: Overland Park, KS (Onsite) Duration: W2 Contract Experience: 7-10+ Years * Experience in data engineering. * Proficiency in Azure Databricks, SQL. * Strong understanding of ...

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems. Key Responsibilities • ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

You will partner closely with the AI Applications Engineer, Data Engineering, BI, and business stakeholders to turn ambiguous business problems into reliable, secure, measurable solutions. You will ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Kansas? For Data Engineer Data jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Engineer Data jobs? Cities in Kansas with the most Data Engineer Data job openings:

$120/hr

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Job description

The Data Engineer is a key contributor in advancing the firm's data strategy and analytics ecosystem, transforming raw data into actionable insights that drive business decisions. This role requires a technically strong, curious professional committed to continuous learning and innovation. The ideal candidate combines analytical acumen with data engineering skills to ensure reliable, efficient, and scalable data pipelines and reporting solutions.
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Data Engineering & Integration
  • Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools.
  • Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud).
  • Optimize and monitor data workflows for reliability, performance, and cost efficiency.
  • Implement and maintain data quality, validation, and error-handling frameworks.
  • Data Analysis & Reporting
  • Develop and maintain reporting databases, views, and semantic models for business intelligence solutions.
  • Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs.
  • Perform ad-hoc data exploration and statistical analysis to support business initiatives.
  • Collaboration & Governance
  • Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements.
  • Maintain data integrity, enforce governance standards, and promote best practices in data stewardship.
  • Support data security and compliance initiatives in coordination with IT and business teams.
  • Continuous Improvement
  • Stay current with emerging data technologies and analytics practices.
  • Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery.

QUALIFICATIONS
Required:
  • Strong SQL development skills and experience with Microsoft SQL Server and Azure SQL Database.
  • Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools.
  • Proficiency in building BI solutions using Power BI and/or SSRS.
  • Strong data modeling and relational database design skills.
  • Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections).
  • Ability to translate business goals into data requirements and technical solutions.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).

Preferred:
  • Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks).
  • Familiarity with version control tools (Git, Azure DevOps) and Agile development practices.
  • Exposure to Python or PowerShell for data transformation or automation.
  • Experience integrating data from insurance or financial systems.

Compensation: $120-129K
This position is 3 days onsite/hybrid located in Overland Park, KS
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.