ZipRecruiter

Log In

1

Sr Data Engineer Jobs in Kansas (NOW HIRING)

Purple Wave, Inc.

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

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

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

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

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

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 JobsSr Data Engineer JobsSr Data Engineer Jobs in Kansas

Sr Data Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do sr data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for sr 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 Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

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

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

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

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

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

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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 21 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