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Remote Data Engineer Jobs in Kansas (NOW HIRING)

Total Performance Consulting

$98K - $118K/yr

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

New

hcmportal

Data Engineer

Topeka, KS · On-site +1

$107K - $129K/yr

We're Looking for an experienced Data Engineer! About the Company: Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer ...

Locatee AG

$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 ...

Locatee Ag

$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 ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes.

CrowdStrike

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 ...

Auvik Networks

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

Overstory

Mentor ML engineers on scientific methodology and domain reasoning Skills & Experience * 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote ...

Olsson

Senior Civil Engineer - Data Center

Lawrence, KS · Remote

$113K - $140K/yr

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

Olsson

Project Civil Engineer - Data Center

Merriam, KS · Remote

$103K - $135K/yr

As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

Olsson

Licensed Civil Engineer - Data Center

Leawood, KS · On-site +1

$88K - $116K/yr

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Kansas

Remote Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote 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 a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Data Engineer

Total Performance Consulting

Remote

$98K - $118K/yr

Part-time

Posted yesterday

New

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 is 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/LatAm-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.

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