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Data Engineer With Jobs in Kansas (NOW HIRING)

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... Partners with team lead to identify technical requirements and alternatives to accomplish projects ...

Velocity Staff

Senior Data Engineer

Overland Park, KS

$104K - $142K/yr

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description * Led App Development teams and are aware of working with distributed systems * Are well aware of ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

This is an exciting opportunity to work on innovative projects, collaborate with cross-functional ... on data engineering and data science. * Experience in building data pipelines and managing large ...

StackAdapt

Partner closely with our Staff EDW Architect to bring new visions to life, designing high-quality ... Act as a player-coach for junior and intermediate data engineers and ETL developers as the EDO team ...

Turing IT Labs

BI Engineer with QuickSight

Overland Park, KS

$48.25 - $62.75/hr

Business Intelligence & AI Automation Engineer Amazon Quick Suite / AWS Analytics Role Overview We ... Familiarity with data pipelines and ETL frameworks. * Knowledge of AWS cost optimization strategies.

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

This is an exciting opportunity to work on innovative projects, collaborate with cross-functional ... on data engineering and data science. * Experience in building data pipelines and managing large ...

Truity Credit Union

Data & AI Engineer

Lawrence, KS · On-site

$104K - $125K/yr

You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS

$104K - $125K/yr

You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world ...

Moore

Data Programmer

Topeka, KS · On-site

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

StackAdapt

... data engineering and large-scale distributed systems. The Team: Mobile App User Acquisition Our ... Collaborate with data scientists and product teams to integrate ML models and sophisticated ...

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Data Engineer With information

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 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 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:
Data Engineer With jobs near you
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.
Senior Systems Engineer (AWS Data Engineer)

Senior Systems Engineer (AWS Data Engineer)

Syms Strategic Group, LLC (SSG)

Wichita, KS • On-site

$85K - $116K/yr

Full-time

Posted 5 days ago

Job description

Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer)
Location: Remote
Department: Veterans Affairs (VA)
Type: Full Time
Min. Experience: Experienced
Security Clearance Level: Public Trust (MBI)
Salary Range: $85,389 - $116,975
If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review.
Military Veterans are highly encouraged to apply!
Essential Duties and Responsibilities
  • Lead the next phase of the healthcare data platform modernization
  • Implement the evolution from a Microsoft SQL eXtensible Markup Language (MSSQL XML) object store toward a scalable, cloud-native AWS data architecture that enables business stakeholders and analysts to run performant, SQL-based reports and queries against healthcare data seamlessly
  • Evaluate and decide the right AWS data strategy for the platform
  • Evaluate and recommend the optimal AWS-native data storage and query architecture for the XML object store data, assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability
  • Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling
  • Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance
  • Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users
  • Optimize query performance and cost across chose AWS services - partitioning, compression, file formats, and query pattern tuning
  • Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns
  • Collaborate with back-end C#/.Net engineer to ensure data flows cleanly from Electronic Data Interchange (EDI) processing pipelines into the new data layer
  • Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • Apply Infrastructure as Code (IaC) practices using AWS Cloud Development Kit (CDK), CloudFormation, or Terraform
  • Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences
Required Skills and Experience
  • 8+ years' experience in software or data engineering with a strong AWS focus
  • Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
  • Track record of evaluating and selecting AWS data services to meet business reporting and query requirements
  • Experience delivering reporting or analytics solutions that serve non-technical business users
  • Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and Cloudwatch
  • Strong SQL skills with the ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
  • Experience working with XML-heavy data stores - parsing, querying, and transforming XML at scale
  • An ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements
  • Familiarity with AWS analytics and reporting services, including Athena, QuickSight, RedShift, or equivalent Business Intelligence (BI) tooling
  • Proficiency with Git and GitHub - branching strategies, pull requests, and collaborative workflows
  • Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • IaC experience (AWS CDK, CloudFormation, or Terraform)
  • Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
  • Experience gathering and translating business reporting requirements into technical data models
  • Comfort driving ambiguous architecture decisions to resolutions with limited direction
  • Experience with Agile methodologies (Scrum, Kanban) and JIRA
  • Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks
Professional CertificationsNon but AWS certifications are a bonusYears of Professional Experiencen/aDesired experienceElectronic Data Interchange X.12 (EDI) Medical Claims
  • X.12, Medical Claims (837, 835, 277CA, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
Familiarity with C#/.Net back-end services for integration touchpoints
Experience with Entity Framework migration or deprecation projects
Experience with healthcare payer/Pharmacy Benefit Management (PBM) systems, clearinghouses, or pharmacy operations
Knowledge of HIPAA compliance requirements in cloud data architectureFormal EducationBachelor's degree or higher in Computer Science, Engineering, or a related technical discipline; equivalent practical experience consideredCitizenship RequirementU.S. Citizenship required for this specific opportunitySecurity Clearance RequirementsMust possess or qualify for a Public Trust (MBI)CRITICAL NOTES:
  1. SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered.
  2. Recruiters or Third parties will not be considered.
  3. This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ, NY, OR, or WA will not be considered.
  4. This is a W-2 position
  5. All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions
  6. As part of our screening process, you will be requested to provide a link to your LinkedIn profile

U.S Citizenship is required for this specific opportunity. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.
Syms Strategic Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information.

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