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

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 and most complex projects. You will serve as a project manager on some projects and lead design ...

TERRACON

Senior Staff Engineer

Topeka, KS

$98K - $135K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Work closely with senior-level project manager to gain project management and engineering ...

TERRACON

Senior Staff Engineer

Topeka, KS · On-site

$98K - $135K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Work closely with senior-level project manager to gain project management and engineering ...

Humana Inc

Senior Engineer, Offensive Security

Topeka, KS · On-site

$118 - $162/hr

The Senior Offensive Security Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. What ...

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JLL

Senior Operating Engineer

Topeka, KS · On-site

$28.84 - $37.50/hr

Data Center Senior Operating Engineer Location: On-site in Topeka, KS Compensation & Schedule Work Schedule: Friday through Tuesday, 3:30 PM to 11:30 PM, with overtime and other assigned shifts as ...

Right Talent Right Now

Sr. ETL Developer

Topeka, KS

$48 - $62.75/hr

Sr. ETL Developer Kansas City MO 1 Year Plus contract MUST HAVES Datastage, SSIS, Hadoop. Job ... of ETL Data Warehousing best practices 6-8 Years of Experience with SQL against relational ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Topeka, KS

Senior Data Engineer information

See Topeka, KS salary details

$76.2K

$118.9K

$164.7K

How much do senior data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data engineer in Topeka, KS is $118,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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 Senior Data Engineer jobs in Topeka, KS?

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

What job categories do people searching Senior Data Engineer jobs in Topeka, KS look for?

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Topeka, KS as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,887 per year, or $57.2 per hour.

Sr. ETL / Python Developer -Remote W2 role

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$124K - $167K/yr

Full-time

Re-posted 6 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.