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Data Integration Developer Jobs in Kansas City, MO

Jobtailor

Data Scientist - Conversational AI

Dearborn, MO · On-site

$120 - $150/hr

Data Integration & Sanitization: Dive directly into Google Cloud Platform (GCP) to cleanly join and ... Demonstrated ability to act as a bridge between Data Science, Engineering, and Product--taking raw ...

Kiewit

Sr Integrations Engineer

Lenexa, KS · On-site

$97K - $131K/yr

This position is ideal for a developer with strong API and integration experience who is interested ... We give our people real-time data to make faster, smarter decisions. Location This role is located ...

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

This position is ideal for a developer with strong API and integration experience who is interested ... We give our people real-time data to make faster, smarter decisions. Location This role is located ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

Work closely with architects to define standards for data integration, quality, and governance. Collaborate with engineers, analysts, and business stakeholders to align data solutions with ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Work closely with architects to define standards for data integration, quality, and governance. * Collaborate with engineers, analysts, and business stakeholders to align data solutions with ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

Work closely with architects to define standards for data integration, quality, and governance. Collaborate with engineers, analysts, and business stakeholders to align data solutions with ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS · Hybrid

Our solutions include premier colocation across seven purpose-built data centers spanning Des ... Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ...

Lightedge

Sr. AI Integration Engineer

Kansas City, MO · Hybrid

Our solutions include premier colocation across seven purpose-built data centers spanning Des ... Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ...

Jobtailor

Data, Information Architect

Dearborn, MO · On-site

$120 - $170/hr

... data integration and governance. Requirements * Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience * 8+ years ...

Sporting Kansas City

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Integrate data from multiple soccer data providers and Club systems to create a single source of ... Significant experience working in a Data Engineering or similar role. * Proven experience designing ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... data integration and data warehousing in enterprise data warehouse. * Research, develop, and ...

WellSky

Staff Data Engineer

Overland Park, KS

$2.5K/yr

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... data integration and data warehousing in enterprise data warehouse. * Research, develop, and ...

Highbrow LLC

Power Apps Developer

Overland Park, KS · On-site

$90 - $120/hr

Job Title :- Power Apps Developer Employment Type :- W2 Duration :- Long Term Visa Type :- All Visa ... data integration. * Solid Understanding of DAX Language: Knowledge of Data Analysis Expressions ...

New

Children

Senior Data Platform Engineer

Lenexa, KS · On-site

$96 - $173/hr

Support CI/CD processes and promote DevOps and DataOps practices across the data platform. * Drive ... scale data integration environments. * 4+ years of experience building and supporting data ...

New

HART, INC.

Healthcare Data Engineer, Team Lead

Kansas City, MO · On-site

$111K - $134K/yr

Data Integration: Develop and maintain scalable processes for ingesting and normalizing structured ... Engineer or similar role, with a focus on data transformation and ETL development. - Solid ...

New

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All JobsData Integration Developer JobsData Integration Developer Jobs in Kansas City, MO

Data Integration Developer information

See Kansas City, MO salary details

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How much do data integration developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data integration developer in Kansas City, MO is $50.43, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $56.78 per hour, depending on experience, location, and employer.

What is a data integration developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

What does a data integration developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.

What are some common challenges data integration developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

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Data Integration Developer jobs near you
Infographic showing various Data Integration Developer job openings in Kansas City, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,902 per year, or $50.4 per hour.

Data Scientist - Conversational AI

Jobtailor

Dearborn, MO • On-site

$120 - $150/hr

Other

Posted 16 days ago

Job description

  • NLP & Utterance Analysis: Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user utterances. Perform sentiment analysis on unstructured text logs to extract actionable product insights.
  • AI Response Evaluation & Experimentation: Design methodologies to evaluate the helpfulness, accuracy, and relevance of the AI’s responses. Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new feature rollouts.
  • Data Integration & Sanitization: Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer support, and vehicle data into robust "Analytical Sandboxes," ensuring strict adherence to data privacy and PII handling standards.
  • Problem Framing & Metric Definition: Act as a strategic partner to Product Managers. Challenge assumptions and define core conversational metrics (e.g., task success rates, user engagement, support deflection).
  • Advanced Visualization & Self-Service: Design, build, and maintain highly intuitive, narrative-driven dashboards using Looker and PowerBI to empower the product team to answer their own day-to-day questions.
  • Bridge the Mobile-to-IVI Gap: Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle, standardizing mobile data against our emerging in-vehicle data contracts.

Requirements

  • Education: A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics).
  • Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning.
  • "Full-Stack" Capability: Demonstrated ability to act as a bridge between Data Science, Engineering, and Product—taking raw telemetry, applying statistical/ML models, and transforming it into business insights without relying on a central data team for every step.
  • Applied ML & LLM Analytics: Proficiency in Python or R with hands‑on experience in text analytics, clustering, and categorization. Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking, human-in-the-loop feedback).
  • Expert‑Level SQL & GCP: Highly proficient in writing complex, optimized SQL (Window Functions, CTEs, handling JSON/Nested Data) within Google Cloud Platform (BigQuery) to structure datasets independently.
  • Advanced Visualization: Deep expertise in building scalable business intelligence solutions, semantic layers, and executive‑facing dashboards in Looker and PowerBI.
  • Experimentation: Strong grasp of statistics and experience designing and measuring A/B tests in a product environment.
  • Analytics as Code: Experience with version control (e.g., Git, GitHub) and working in environments where analytics changes go through a formal peer‑review process.
  • Strategic Problem Solving: Comfortable navigating complex, multi‑source data environments. You view data integration as a puzzle to be solved and a strategic enabler for the business.

Core Competencies

Demonstrates expertise in Natural Language Processing, Applied Machine Learning, and Data Analytics, with a strong focus on building advanced visualizations and conducting A/B testing to drive product insights. Proficient in SQL and Google Cloud Platform, capable of integrating and structuring complex datasets while ensuring data privacy standards.

Highest‑signal resume keywords

  • Natural Language Processing
  • Applied Machine Learning
  • Expert‑Level SQL
  • Google Cloud Platform
  • Advanced Visualization

ATS Optimization Keywords

Hard Skills

  • Natural Language Processing
  • Machine Learning
  • SQL
  • Python
  • R
  • Data Analytics
  • A/B Testing
  • Text Analytics
  • Clustering
  • Data Integration

Soft Skills

  • Strategic Problem Solving
  • Collaboration

Industry Keywords

  • Data Science
  • Product Analytics
  • Sentiment Analysis
  • Data Privacy
  • PII Handling

Tools & Technologies

  • Google Cloud Platform
  • Looker
  • PowerBI
  • Git
  • GitHub
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