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Data Engineer Jobs in Topeka, KS (NOW HIRING)

Advantage Tech

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

Alarm.com

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

This role will collaborate closely with teams across Software Engineering, Data Engineering, Infrastructure, Cloud Engineering, Security, and Architecture to help deliver stable, well-managed, and ...

Alarm.com

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

This role will collaborate closely with teams across Software Engineering, Data Engineering, Infrastructure, Cloud Engineering, Security, and Architecture to help deliver stable, well-managed, and ...

Alarm.com

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

This role will collaborate closely with teams across Software Engineering, Data Engineering, Infrastructure, Cloud Engineering, Security, and Architecture to help deliver stable, well-managed, and ...

Alarm.com

DevOps Engineer

Lawrence, KS

$49.75 - $68.25/hr

This role will collaborate closely with teams across Software Engineering, Data Engineering, Infrastructure, Cloud Engineering, Security, and Architecture to help deliver stable, well-managed, and ...

Element Materials Technology

Data Processor

Topeka, KS · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

TERRACON

Field Engineer

Topeka, KS · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Terracon

Field Engineer

Topeka, KS · On-site

$60 - $80/hr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Field Engineer

Topeka, KS · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Stryker

Data Science Intern - Remote

Topeka, KS · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

CCI Systems, Inc.

Data Center Technicians

Topeka, KS · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Topeka, KS

Data Engineer information

See Topeka, KS salary details

$41.9K

$122.2K

$167.3K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Topeka, KS is $122,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $129,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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:

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For Data Engineer jobs in Topeka, KS, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Topeka, KS are:

What cities near Topeka, KS are hiring for Data Engineer jobs?

Cities near Topeka, KS with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Topeka, KS as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,231 per year, or $58.8 per hour.

Data Architect

Advantage Tech

Topeka, KS • Hybrid

$131K - $177K/yr

Full-time

Re-posted 25 days ago

Job description

Title: Data Architect 

Location: 4 days in office in Topeka, 1 day remote 

Type: Perm 


Role:

The Data Architect is responsible for establishing and evolving the organization’s data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. 


Responsibilities:

  • Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards.
  • Design simple, scalable data flows: 
  • Source systems ingestion, Databricks, consumption 
  • Establish foundational data models (bronze / silver / gold or equivalent) 
  • Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns. 
  • Translate business and analytics needs into practical data designs and patterns.
  • Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains.
  • Support early analytics, BI, and data science use cases. 
  • Guide engineers and analysts on best practices in Databricks. 
  • Maintain data architecture roadmaps and priorities.
  • Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options.
  • Identify technical debt early and propose incremental improvements.
  • Act as a hands-on advisor to resolve complex data issues, not just a governance role.
  • Evaluate emerging technologies and industry trends to guide future investments and modernization efforts.


Expectations:

  • Perform responsibilities independently with minimal oversight. 
  • Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results.
  • Consistently takes action in alignment with client values. 
  • Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation.


Knowledge and Skills:

Experience:   

- Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design. 

Education:    

- Bachelor’s degree in computer science or related technology degree.

- Professional certificate or a graduate degree highly regarded.

Interpersonal Skills:    

- Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation.


Other Preferred Skills:

  • Experience with Databricks, Azure Data Factory, and Power BI.
  • Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns.
  • Must be able to work and travel independently, manage multiple and competing demands.