ZipRecruiter

Log In

1

Senior Data Engineer Jobs in Kansas (NOW HIRING)

Purple Wave Auction

Senior Data Platform Engineer

Manhattan, KS · On-site +1

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines, services, and data products that the rest of the company builds on. In this role, you'll own the flow of ...

Purple Wave, Inc.

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines, services, and data products that the rest of the company builds on. In this role, you'll own the flow of ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to ... senior leadership * Strong business acumen with the ability to prioritize analytical work by impact ...

CBRE

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and ...

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to internal accelerators, documentation, and reusable components. * Stay current with GCP releases, Gemini ...

Shamrock Trading Corp.

Senior Data Scientist

Overland Park, KS · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientists partner closely with business stakeholders, analysts, and Machine Learning Engineers to explore data, build and evaluate models, and communicate findings that drive efficiency, enable ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development, and optimization of our enterprise data platform. This role drives the design and implementation of ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... Collaborate with product and engineering teams to integrate predictive intelligence into agent ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Kansas

Senior Data Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do senior data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior data engineer in Kansas is $112,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $128,400.00 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 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.

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 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.

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 most commonly searched types of Data Engineer jobs in Kansas?

The most popular types of Data Engineer jobs in Kansas are:

What are popular job titles related to Senior Data Engineer jobs in Kansas?

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

What job categories do people searching Senior Data Engineer jobs in Kansas look for?

The top searched job categories for Senior Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for Senior Data Engineer jobs?

Cities in Kansas with the most Senior Data Engineer job openings:

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $112,666 per year, or $54.2 per hour.

Senior Data Platform Engineer

Purple Wave Auction

Manhattan, KS • On-site, Remote

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Description
Build the Data Platform That Powers What's Next.
We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines, services, and data products that the rest of the company builds on. In this role, you'll own the flow of data end to end - ingesting and transforming it through ETL/ELT and dbt, orchestrating reliable batch and streaming workflows, and exposing it through the APIs and microservices that product teams depend on, including the next generation of features powered by large language models (LLMs) and machine learning. Beyond hands-on engineering, you'll shape technical direction, mentor teammates, and help drive standardization across the department. If you're energized by building dependable data systems and excited to apply LLMs and ML to real product problems, we'd love to have you on the team.
We are seeking an experienced Senior Data Platform Engineer to join our data team in building and maintaining a robust data platform and the backend services around it, while providing technical guidance and mentorship. This role focuses on designing and shipping high-quality data pipelines and transformations - building and maintaining ETL/ELT and dbt workflows, orchestration, and data-quality and observability practices - alongside the Python microservices and APIs that serve data and integrate LLM and ML capabilities into production. You'll also contribute to technical direction at the team level and lead standardization efforts across the department, collaborating closely with product teams and stakeholders to deliver reliable, scalable, and well-documented data and backend systems.
Responsibilities:
  • Technical Collaboration
    • Contribute to technical direction and strategic planning at the team level.
    • Evaluate and recommend new technologies and approaches for backend and AI/ML evolution.
    • Provide technical guidance and code reviews for team members.
    • Provide technical guidance and support to product teams consuming backend services.
  • Data Pipelines, ETL & Transformation
    • Design, build, and maintain data pipelines and ETL/ELT workflows that ingest, move, and transform data across source systems, the warehouse, and downstream consumers.
    • Develop and maintain dbt models, tests, and documentation to support analytics, reporting, and product features.
    • Build and operate workflow orchestration for batch and streaming data (scheduling, dependency management, retries, and alerting).
    • Establish and enforce data quality, reliability, and observability practices across pipelines (monitoring, lineage, freshness, and validation).
    • Implement schema management, versioning, and migration patterns to evolve data models safely.
    • Optimize pipeline performance, cost, and scalability across the data platform.
  • Data Application Development & Maintenance
    • Design, develop, and maintain microservices in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
    • Design and build APIs and services that integrate LLMs and ML models - including retrieval-augmented generation, embeddings, prompt orchestration, tool/function calling, and agentic workflows.
    • Develop self-service tools and APIs that enable product teams to independently leverage backend and AI capabilities.
    • Establish patterns for safely, reliably, and cost-effectively operating LLM- and ML-backed features in production (evaluation, observability, guardrails, fallbacks).
    • Build and maintain CI/CD pipelines and deployment automation.
    • Create and maintain technical documentation and standards repositories.
  • Team Collaboration & Process
    • Work within an Agile framework to prioritize and deliver backend improvements.
    • Collaborate with product teams and stakeholders to understand requirements and pain points.
    • Help foster a culture of continuous learning, improvement, and technical excellence.
    • Encourage adoption of consistent tooling and processes across development teams.
    • Contribute to cross-team initiatives to improve developer experience and backend consistency.
  • Undertake additional assigned duties as requested.

Supervisory Responsibilities:
  • None.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field, OR 6+ years of professional software development experience in lieu of degree.
  • 5+ years of backend software development experience.
  • 2+ years of experience in technical leadership or mentoring roles.
  • Programming Languages: Expert proficiency in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
  • LLMs & Machine Learning: Practical experience integrating LLMs or ML models into production systems - including at least several of: prompt engineering, RAG, embeddings/vector search, tool/function calling, evaluation, and cost/latency optimization.
  • Databases: Advanced experience with MySQL, PostgreSQL, and Redis; familiarity with vector databases (e.g., pgvector, Pinecone, Weaviate) is a plus.
  • APIs: Proven experience designing, building, and operating RESTful APIs at scale.
  • CI/CD: Advanced pipeline design and implementation using industry best practices and tools.
  • Infrastructure: Experience with cloud providers (AWS, Azure, GCP); container orchestration experience (Kubernetes) is a plus.
  • Proven experience building and scaling backend services and APIs.
  • Deep understanding of microservice architecture patterns, distributed systems, and best practices.
  • Experience with observability tools and practices (monitoring, logging, tracing) - including for AI/ML workloads where applicable.
  • Strong ability to communicate complex technical concepts to diverse audiences.
  • Strong customer-focused mindset with emphasis on the developer and end-user experience.
  • Experience facilitating technical discussions and building consensus.
  • Demonstrated experience providing technical guidance.
  • Spanish speaking bi-lingual candidates are encouraged to apply.
  • Candidates may be requested to complete position specific skills assessments.
  • Applicants must be either a U.S. Citizen or eligible to work in the U.S.
  • Requires the ability to satisfactorily complete a background check.

Working Settings:
  • Full-time Salaried Exempt, not eligible for overtime.
  • Office hours are 8am-5pm, Monday through Friday, Central Time zone, additional hours may be required depending on priorities.
  • This position is remote work eligible within the United States. Please be aware: the first week of employment includes mandatory in-person training. Remote start arrangements are not available.
  • Also mandatory: One week a year of in-person training with the department.
  • Potential for 10% travel, should the need arise.
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

Compensation:
  • The salary varies based on experience and qualifications, but typically ranges from $100,000 to $125,000 per year.
  • Monthly Bonus Program - determined by the Company's monthly revenue result and are paid on a "percent to plan" payout formula (90% = $300, 100% = $600, 110% = $900, 120% = $1,200).
  • Monthly phone stipend in accordance with the Company's cell phone policy, currently $120/month.
  • Health, Dental, and Vision insurance.
  • 401(k) plan with an employer match up to 4% starting the first day of employment.
  • Company-paid Life Insurance with options for supplemental coverage.
  • Fully paid Short-Term Disability provided by the Company.
  • 3 Weeks of PTO annually (details shared during onboarding).
  • Employee Stock Purchase Program (ESPP) - Eligible to purchase company stock at a discount after 90 days of employment, with enrollment opportunities each May and November.

Apply