2

Remote Data Engineer Jobs in Topeka, KS (NOW HIRING)

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

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 ...

Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ... leader in engineering and consultancy across energy and the built environment, helping to unlock ...

next page

Showing results 1-20

Remote Data Engineer information

See Topeka, KS salary details

$41.9K

$122.1K

$167K

How much do remote data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote data engineer in Topeka, KS is $122,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $129,400.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
What are the most commonly searched types of Data Engineer jobs in Topeka, KS? The most popular types of Data Engineer jobs in Topeka, KS are:
What are popular job titles related to Remote Data Engineer jobs in Topeka, KS? For Remote Data Engineer jobs in Topeka, KS, the most frequently searched job titles are:
What cities near Topeka, KS are hiring for Remote Data Engineer jobs? Cities near Topeka, KS with the most Remote Data Engineer job openings:

Sr. ETL / Python Developer -Remote W2 role

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$124K - $167K/yr

Full-time

Posted 7 days ago


Job description

Sr. ETL / Python Developer 
Senior Data Engineer (Sr. ETL / Python Developer)
Position Summary
We are seeking a hands-on Senior Dashboard/Report (Tableau / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that
support Medicaid analytics, federal reporting, and enterprise decision support.
The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both
legacy and cloud-based platforms.
Primary Responsibilities
Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
Build and optimize scalable data processing solutions using Python.
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Write and optimize SQL and stored procedures across relational platforms such as Teradata.
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
Required Qualifications
5+ years of Reporting and Dashboard with a focus on enterprise data warehousing
5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
5+ years of Python development for data engineering and automation
3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills
Preferred Qualifications
Experience supporting State Medicaid EDW or MMIS analytics environments
Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)
Data modeling experience in enterprise data warehouse environments
Scripting experience (PowerShell, Bash) for automation and orchestration
Experience designing or consuming APIs (REST) within data platforms
Familiarity with data quality frameworks, reconciliation, and audit support
Azure certifications related to data engineering or analytics
Work Environment s Telecommute Policy
This position supports a telecommute-friendly work model and may be performed remotely within the continental United States.
Periodic travel may be required based on project or customer needs.

This is a remote position.