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Data Engineer With Jobs in Kansas (NOW HIRING)

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 Engineer

Lenexa, KS · On-site

$107K - $129K/yr

Data Engineer ID 2991 Type Full-Time Summary CommunityAmerica Federal Credit Union seeks a Data ... Work with product owners to understand and translate business requirements into technical ...

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Work with product owners to understand and translate business requirements into technical ... Experience with the following: * cloud data engineering and data warehouse technologies in ...

Data Engineer

Lenexa, KS

$106K - $127K/yr

Work with product owners to understand and translate business requirements into technical ... Experience with the following: * cloud data engineering and data warehouse technologies in ...

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Work with product owners to understand and translate business requirements into technical ... Experience with the following: * cloud data engineering and data warehouse technologies in ...

Data Engineer

Lenexa, KS · On-site

$104K - $125K/yr

Responsibilities : • Work with product owners to understand and translate business requirements ... other data integration tools. • Support other software developer team members with ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Data Engineer Location: Leawood, KS (Hybrid) Job Type: Contract - We are seeking a skilled Data ... Work with large datasets to ensure data quality, integrity, and performance optimization

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data ...

You will set the patterns the rest of the team - including citizen developers building with Agents and MCPs - follow when they access, curate, or extend our data. Roles and Responsibilities:

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 ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

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 ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

Data Engineer

Overland Park, KS

$113K - $135K/yr

Description The data engineer provides technical data support to cross functional teams who are ... Works with Customers to Extract, Transform & Load data from legacy systems into our software.

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 ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

Data Engineer

Milton, KS · On-site

$97K - $117K/yr

The effect of this has led hundreds of thousands of laid off Tech employees competing with existing ... stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning ...

Data Engineer

Wichita, KS · On-site

$113K - $135K/yr

The effect of this has led hundreds of thousands of laid off tech employees competing with existing ... developers, data analysts/data scientists, machine learning engineers for full time positions with ...

Sr Data Engineer

Overland Park, KS · On-site

$108K - $130K/yr

Sr Data Engineer Location: Overland Park, KS (Onsite) Duration: W2 Contract Experience: 7-10+ Years ... Experience with real-time data streaming using Kafka or other eventing solutions. * Familiarity ...

Lead Data Engineer

Mission, KS · Remote

$106K - $128K/yr

We partner closely with the Edge Hardware team, which streams high‐fidelity, sub‐second energy ... Contribute to building internal data tools for engineers and analysts. Collaborate with AI/ML teams ...

Data Engineer II

Topeka, KS · Remote

$107K - $129K/yr

You will partner closely with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reporting experiences that align with defined data products and ...

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Data Engineer With information

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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Kansas? For Data Engineer With jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Kansas look for? The top searched job categories for Data Engineer With jobs in Kansas are:
What cities in Kansas are hiring for Data Engineer With jobs? Cities in Kansas with the most Data Engineer With job openings:
Infographic showing various Data Engineer With job openings in Kansas as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

$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.