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Aws Data Engineer Jobs in Kansas (NOW HIRING)

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... Level Data Engineer to join their Data Services Team. The right candidate will utilize their ... Experience building and maintaining AWS based data pipelines: Technologies currently utilized ...

CrowdStrike

You will champion engineering excellence, focusing on shipping fast, writing elegant, high-quality ... Strong expertise with cloud platforms (AWS, GCP, or OCI) and related data services.

Pratt Industries

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... Engineering team can safely and consistently manage cloud resources. Data & AI Architecture ... AWS Expertise: Deep technical knowledge of core AWS services (EC2, S3, RDS, VPC, IAM, Route 53) and ...

Pratt Industries

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

Senior AWS Cloud Architect Location: Wichita, KS or Atlanta, GA (Hybrid) Position Overview: We are ... Systems Engineering team can safely and consistently manage cloud resources. • Data & AI ...

Miratech

Miratech is looking for an experienced AWS Cloud Engineer - Platform Operations to support and optimize AWS infrastructure powering Amazon Connect and enterprise cloud platforms. This role combines ...

Repario Data LLC

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

The ideal candidate will have a strong understanding of AWS cloud services, containerization, IaC ... Working knowledge of application and data services such as IIS App Pools, RabbitMQ, ElasticSearch ...

Repario Data LLC

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

The ideal candidate will have a strong understanding of AWS cloud services, containerization, IaC ... Working knowledge of application and data services such as IIS App Pools, RabbitMQ, ElasticSearch ...

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Aws Data Engineer information

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$39.7K

$115.7K

$158.3K

How much do aws data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for aws data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What is the salary of AWS Data Engineer?

The salary of an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Entry-level positions may start lower, while experienced engineers with specialized skills can earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Kansas?

The most popular types of Aws Data Engineer jobs in Kansas are:

What are popular job titles related to Aws Data Engineer jobs in Kansas?

For Aws Data Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Kansas look for?

The top searched job categories for Aws Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for Aws Data Engineer jobs?

Cities in Kansas with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Senior Data Engineer

Velocity Staff

Overland Park, KS • On-site

$104K - $142K/yr

Full-time

Re-posted 18 days ago

Job description

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 expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams.


  • Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation.
  • Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs.
  • Surface data integration errors to the proper teams, ensuring timely processing of new data.
  • Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. 
  • Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation.

  • Bachelor’s degree in computer science, data science or related technical field, or equivalent practical experience
  • Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)
  • Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK 
  • Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)
  • Experience with version control (git) and peer code reviews
  • Enthusiasm for working directly with customer teams (Business units and internal IT)
  • Preferred but not required qualifications include: 
    • Experience with data processing and analytics using AWS Glue or Apache Spark
    • Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)
    • Experience data processing using Parquet and Avro
    • Experience developing, maintaining, and deploying Python packages
    • Experience with Kafka and the Kafka Connect ecosystem.
    • Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel.   

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