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Senior Data Analyst Developer Jobs in Kansas (NOW HIRING)

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

Amgen

The ideal candidate will have a strong background in chemical engineering or mechanical engineering ... Strong analytical skills with the ability to collect, organize, analyze, and disseminate ...

WellSky

Sr. Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines ... The scope of this job includes collaborating with data scientists, analysts, solutions partners ...

WellSky

Sr. Data Engineer

Overland Park, KS · On-site

$2.5K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines ... The scope of this job includes collaborating with data scientists, analysts, solutions partners ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging ... Partner closely with data scientists, analysts, and product teams to understand data requirements ...

asrcfh

Appian Analyst

Leavenworth, KS · Remote

The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide ... Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint ...

Stripe

$132K/yr

Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and ... senior leadership to project teams. * High comfort toggling between strategy and execution - big ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Additional Experience * 12+ years of experience in Data Engineering, Analytics Engineering, or Data ... minimum of 7 years in senior management roles. * At least 6 years leading, mentoring, and ...

Parexel

Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer Join a high-impact team as ... If you are passionate about real-world data, advanced analytics, and delivering meaningful insights ...

ASRC Federal Holding

Appian Analyst

Leavenworth, KS · On-site

The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide ... Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint ...

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Showing results 21-40

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Senior Data Analyst Developer information

How much is a senior data analyst developer paid?

A senior data analyst developer typically earns between $80,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, or R, and may hold certifications like Certified Analytics Professional (CAP). Compensation can vary based on company size and complexity of projects.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
What are the most commonly searched types of Data Analyst Developer jobs in Kansas? The most popular types of Data Analyst Developer jobs in Kansas are:
What are popular job titles related to Senior Data Analyst Developer jobs in Kansas? For Senior Data Analyst Developer jobs in Kansas, the most frequently searched job titles are:
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What cities in Kansas are hiring for Senior Data Analyst Developer jobs? Cities in Kansas with the most Senior Data Analyst Developer job openings:
Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Agentic AI

Vytalize Health

Kansas City, KS

$102K - $138K/yr

Full-time

Re-posted 15 days ago

Job description

Senior Data Engineer - Agentic AI

Description of the Role

As a Senior Data & Software Engineer focused on agentic AI, you will help design, build, and maintain the intelligent data pipelines and automation systems that enable Vytalize Health to scale its data source coverage without linearly scaling the team. Working cross-functionally, your solutions will drive better patient outcomes by accelerating the normalization and governance of clinical and claims data. You will be part of a small, high-performing healthcare data engineering team where engineers support each other\'s growth through mentorship and tight collaboration.

Primary Responsibilities

  • Lead development of the agentic connector pipeline — automating source profiling, field mapping, dbt model generation, and validation

  • Design and build AI-assisted data ingestion workflows using LLM APIs and agentic orchestration frameworks

  • Own the first 2–3 end-to-end agent-built connectors as proof of concept for the broader team

  • Establish internal AI tooling standards and patterns; mentor team on agentic development practices

  • Design, build, and maintain data pipelines and systems to meet business needs

  • Implement data quality control processes and contribute to observability frameworks

  • Document new and existing systems, designs, processes, and procedures

  • Work on-call 3–9% of the year, one week at a time, to support production failures and emergent business needs

  • Mentor and learn from colleagues through pair/mob programming, design reviews, and Lunch & Learns

Required Qualifications

  • 5+ years of experience in data engineering or a related field

  • 1–2+ years of hands-on experience building with LLM APIs and agentic frameworks

  • Strong Python and SQL proficiency

  • Experience with Databricks and AWS

  • Strong understanding of data lake architecture, data modeling, and medallion patterns (Bronze/Silver/Gold)

  • Experience building and consuming APIs

  • Experience with data quality control and pipeline observability

  • Strong debugging, problem-solving, and analytical skills

  • Excellent written and verbal communication skills

  • Comfortable working in a fast-moving, ambiguous environment

Strong Pluses

  • Experience with dbt and modern data transformation patterns

  • Familiarity with healthcare data formats: CCDAs, 837s, FHIR APIs, CDS Hooks, HL7

  • Experience with Tuva or similar clinical data normalization frameworks

  • Knowledge of Value-Based Care and Accountable Care Organizations

  • Experience with EHR integrations (Epic, NextGen, Athena, ECW)

  • Familiarity with orchestration tools (Databricks Workflows, Airflow, or equivalent)

  • Experience in a startup or high-growth environment

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