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Remote Amazon Data Engineer Jobs in Kansas (NOW HIRING)

Finite State

Thrives at the intersection of secure software engineering, data-heavy systems, and product ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

NinjaOne

Patching | Senior Software Engineer, Java

Kansas, KS · On-site +1

$110K - $145K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... On our Patching team specifically, scale shows up primarily as a data-volume problem -- think ...

StackAdapt

$61K - $79K/yr

... data and tooling that support them. This is a hands-on, individual-contributor leadership role: you ... StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the ...

Kiewit Corporation

Lead Mechanical Engineer

Kansas City, KS · On-site +1

$107K - $130K/yr

... data centers, water and wastewater treatment facilities, power generation assets, mining and ... Some consideration will be made for fully remote candidates that meet and exceed our requirements ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

... outcomes-based, data-driven solutions across the lifecycle of learning. From testing to ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Kansas

Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

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

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

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

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

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

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

What cities in Kansas are hiring for Remote Amazon Data Engineer jobs?

Cities in Kansas with the most Remote Amazon Data Engineer job openings:

Remote Amazon Data Engineer jobs near you

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Kiewit Corporation

Lenexa, KS • Remote

$136K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th of 80 rated construction

Job description

Requisition ID: 180215 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Digital Model / BIM Automation Developer to support the processing, transformation, and delivery of engineering models across enterprise-scale EPC projects. This role is responsible for managing and scaling automated pipelines that deliver critical 3D model data to thousands of users daily.

This is a highly technical, operations-focused role within the Digital Project Execution (DPE) team, requiring strong programming, data handling, and systems expertise. The position plays a key role in ensuring reliability, scalability, and performance of model delivery systems, while continuously improving automation processes to support rapid organizational growth.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

Responsibilities

Model Processing & Delivery

  • Process, convert, and prepare engineering models for downstream use in UniversalPlantViewer (UPV) / Universal Digital Twin Hub / UDITH
  • Manage and support the daily delivery of 100+ models to 3,000+ users across projects
  • Ensure model quality, consistency, and availability across environments
  • Troubleshoot model processing failures and implement corrective actions

Automation & Optimization

  • Develop, enhance, and maintain automation pipelines for model processing and delivery
  • Identify opportunities to reduce manual intervention and improve system reliability
  • Optimize existing workflows for performance, scalability, and maintainability
  • Implement monitoring and alerting for critical automation processes

Systems & Infrastructure Support

  • Support general systems administration tasks related to model processing environments
  • Maintain and improve infrastructure supporting automated workflows
  • Ensure systems are stable, secure, and performant under increasing scale

Data & Integration

  • Work with structured data using SQL to support model metadata and integration workflows
  • Integrate model data with downstream systems and platforms (e.g., Common Data Environments, analytics tools)
  • Support data transformation and validation processes

Continuous Improvement & Scaling

  • Contribute to scaling operations in a rapidly growing environment (~5x growth over recent years)
  • Improve reliability and maintainability of model delivery systems
  • Support onboarding of new projects and increased model volumes
Qualifications

Technology stack

Primary:

  • Universal Plant Viewer (UPV)
  • Python (preferred)
  • SQL Server / Azure SQL
  • Model processing tools and formats (e.g., SmartPlant Review, Navisworks, 3D model platforms)
  • Automation frameworks / scripting

Supporting:

  • Azure-based ecosystem (Data Factory, Databricks, Data Lake)
  • CI/CD and scripting tools

Required qualifications

  • Experience processing and converting engineering models
  • Strong proficiency in a modern programming language (Python preferred)
  • Engineering or construction industry experience (EPC environment preferred)
  • Strong SQL skills for data manipulation and integration
  • Proven ability to automate complex processes and workflows
  • Strong systems and infrastructure fundamentals (systems administration experience preferred)
  • Highly proficient in problem solving and troubleshooting complex technical issues
  • Strong foundational knowledge of computers, data structures, and coding principles
  • Ability to quickly learn new tools, systems, and workflows
  • Strong sense of ownership and accountability for delivering business-critical systems
  • Experience supporting high-availability systems used by large user bases (thousands of users)
  • Experience documenting functional requirements, technical designs, and data workflows.
  • Excellent written and verbal communication skills.

 

PREFERRED QUALIFICATIONS

  • Background in data analytics or data engineering
  • Experience training or supporting end users

BONUS EXPERIENCE

  • Knowledge of engineering design tool ecosystems (Hexagon Smart Suite).
  • Experience supporting data environments tied to project lifecycle systems.
  • Exposure to large-scale project-based data environments.

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

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Benefits

Hours and flexibility

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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