2

Remote Amazon Data Engineer Jobs in Kansas (NOW HIRING)

$98K - $118K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Senior Amazon Connect Developer

Concord, NC · Remote

$105K - $138K/yr

... Engineer to design, build, and optimize advanced contact center solutions on AWS. The ideal ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

Amazon Connect Architect

Canada, KY · Remote

$54 - $71.25/hr

... data workflows. Responsibilities * Architect end-to-end AWS-based solutions for Amazon Connect ... Lead cross-functional engineering, DevOps, and product teams to deliver complex solutions * Align ...

We are a software services team, not a data engineering team. Watch our talk at Amazon Tech Talks: StackAdapt is a Remote First company; we are open to candidates located anywhere in Canada or the ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

next page

Showing results 1-20

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:

$98K - $118K/yr

Part-time

Posted 17 days ago


Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.
  • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.