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Senior Data Analytics Engineer Jobs in Topeka, KS

TERRACON

Senior Staff Engineer

Topeka, KS · On-site

$98K - $135K/yr

Analyze data, and perform engineering calculations and analysis * Coordinate and supervise field ... Work closely with senior-level project manager to gain project management and engineering ...

TERRACON

Senior Staff Engineer

Topeka, KS · On-site

$98K - $135K/yr

Analyze data, and perform engineering calculations and analysis * Coordinate and supervise field ... Work closely with senior-level project manager to gain project management and engineering ...

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 ...

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 ...

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 ...

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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 Aug 11, 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 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.

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 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.

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 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 Data Governance Analyst

Security Benefit

Topeka, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 hours ago

Job description

We're Looking for an experienced Senior Data Governance Analyst - Unstructured Data & AI Readiness!
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 opportunities to thrive, innovate, and make an impact. As part of our team, you'll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.
We're proud to have been recognized as one of the best in the business:
  • Named to Ward's 50 list of top-performing life-health insurance companies
  • Recognized on list of Ingram's Top 100 Private Companies in the Kansas City area in 2024

About the Role:
As a Senior Data Governance Analyst - Unstructured Data & AI Readiness you will serve as a recognized subject matter expert on Security Benefit's Data Governance team, owning the operationalization of governance practices for unstructured content - including documents, email, collaboration platforms, and cloud repositories. You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval-Augmented Generation (RAG) use cases, while driving Information Lifecycle Management (ILM) program execution across the organization. This role sits at the intersection of traditional records and retention governance and next-generation AI readiness, making it a critical enabler of Security Benefit's data strategy and its $60 billion asset management mission.
This role reports to the AVP, Data Strategy & Enablement and sits within the Data Governance chapter, providing governance services and standards across Agile Product Teams. It can be performed remotely or in a hybrid capacity from our Topeka or Overland Park, Kansas offices.
  • Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, OneDrive, and other enterprise content stores - supporting Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
  • Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
  • Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal's direction
  • Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
  • Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
  • Serve as governance SME for Security Benefit's FSx-to-SharePoint migration initiative, ensuring governance standards - site architecture, content taxonomy, sensitivity labeling, and retention controls - are designed into the platform from the ground up
  • Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
  • Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
  • Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
  • Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices

What We're Looking For:
  • Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field
  • 5-7 years of experience in data governance, information management, records management, data operations, or a closely related discipline
  • Working knowledge of unstructured data governance concepts including metadata management, content classification, sensitivity labeling, information lifecycle management, legal hold, and records retention
  • Hands-on experience with one or more enterprise content platforms: SharePoint Online, OneDrive, Slack, or comparable cloud content repositories
  • Demonstrated SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; experience supporting SharePoint migrations from on-premises or legacy file share environments (e.g., FSx) strongly preferred
  • Familiarity with Microsoft Purview (or predecessor tools: Azure Information Protection, MIP) for sensitivity labeling and compliance management; willingness to develop deep proficiency required
  • Automation-first orientation: evaluates AI/ML-assisted and platform-native automation options (e.g., Purview auto-labeling, SharePoint Syntex, Power Automate) before recommending manual processes
  • Exposure to data catalog or metadata management tooling (e.g., Collibra, Alation, Informatica, or similar); willingness to develop proficiency in Security Benefit's selected platform required
  • Strong analytical and problem-solving skills; comfortable operating in ambiguous, fast-moving environments with competing priorities
  • Strong written and verbal communication skills; proven ability to translate complex governance concepts for both technical and non-technical audiences
  • Understanding of AI/ML governance concepts, including data readiness for RAG architectures, is a meaningful differentiator
  • Experience in financial services or a regulated data environment preferred; familiarity with SQL, Python, or scripting for data profiling and quality validation a plus

Why Choose Security Benefit?
When you join our team, you're not just getting a paycheck - you're getting a career path full of growth opportunities, plus a robust benefits package that puts your well-being first. Here's what you can expect as a full-time Security Benefit associate:
  • Competitive salary and annual incentive bonuses to reward your contributions.
  • 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
  • Paid parental leave after 90 days of service.
  • Comprehensive medical, dental & vision insurance.
  • 401(k) with company match, plus Profit Sharing & Savings Plan.
  • Short- and Long-Term Disability Insurance to give you peace of mind.
  • Flexible Spending Accounts for medical and dependent care.
  • Life Insurance to protect your loved ones.
  • Educational assistance to support your career development.
  • Associate assistance programs for your personal and professional well-being.

Ready to Make an Impact?
Apply today by visiting our career page to submit your resume. We're excited to meet you!
Security Benefit is an Equal Opportunity Employer.

Apply