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Senior Data Analytics Engineer Jobs in Topeka, KS

Miamioh

Director, Business Intelligence Team

Hoyt, KS · On-site

$155K/yr

Build, lead, and develop a high-performing, multi-disciplinary team of analytics, data engineering ... Provide insights and guidance to senior leaders to support institutional strategy and decision ...

Moore

Data Programmer

Topeka, KS · On-site

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

Ryder System, Inc.

Senior Director AI Security

Topeka, KS · On-site

$150 - $200/hr

This role partners closely with executive leadership, Enterprise Architecture, Data & Analytics ... Partner with technology, architecture, engineering, legal, privacy, procurement, and business ...

New

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 ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Right Talent Right Now

Sr. ETL Developer

Topeka, KS · On-site

$48 - $62.75/hr

Sr. ETL Developer Kansas City MO 1 Year Plus contract MUST HAVES Datastage, SSIS, Hadoop. Job ... data modelers, and business analysts Under minimal supervision, effectively analyze and resolve ...

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

Humana Inc

Senior Platform Engineer - NBA

Topeka, KS · On-site

$107 - $147/hr

... and data throughput grow. * Quality -- Write tests, participate in code reviews, and uphold ... Incident response -- Participate in the on‑call rotation, lead root‑cause analysis, and turn ...

New

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

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 ...

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 ...

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Showing results 21-40

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

Senior Data Analytics Engineer information

See Topeka, KS salary details

$76.2K

$118.9K

$164.7K

How much do senior data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data analytics 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 does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are popular job titles related to Senior Data Analytics Engineer jobs in Topeka, KS?

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

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

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

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Topeka, KS as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,887 per year, or $57.2 per hour.

Senior Tableau / Python Developer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$124K - $167K/yr

Full-time

Re-posted 27 days ago

Job description


 
Role - Senior Tableau / Python Developer
8+ years of exp  (Medicaid exp must)
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.