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Data Lead Jobs in Kansas (NOW HIRING)

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads. * Design, implement, and optimize data ...

Seaboard

Data and Analytics Manager

Merriam, KS

Lead, mentor, and develop a close-knit data team * Conduct regular 1:1s focused on performance, growth, and wellbeing * Set clear goals and success metrics for each team member, aligned to ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources * Conduct advanced exploratory data analysis (EDA) to identify ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources * Conduct advanced exploratory data analysis (EDA) to identify ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Demonstrated leadership skills with the ability to collaborate with and lead on-shore and off-shore team members. * Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake ...

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 ... Lead by example and model behaviors that are consistent with CBRE RISE values. Will need ability to ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description. * Leadership & Collaboration * Provide thought leadership in ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description. * Leadership & Collaboration * Provide thought leadership in ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description. * Leadership & Collaboration * Provide thought leadership in ...

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Showing results 41-60

All JobsData Lead JobsData Lead Jobs in Kansas

Data Lead information

See Kansas salary details

$27

$62

$85

How much do data lead jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data lead in Kansas is $62.50, according to ZipRecruiter salary data. Most workers in this role earn between $54.04 and $70.10 per hour, depending on experience, location, and employer.

What is the difference between Data Lead vs Data Analyst?

AspectData LeadData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related fieldsBachelor's in Statistics, Mathematics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentLeads data projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Industry UsageUsed across industries for strategic data managementCommonly used for data analysis and reporting roles

The main difference between a Data Lead and a Data Analyst lies in their responsibilities and scope. Data Leads oversee data projects, manage teams, and align data strategies with business goals, while Data Analysts focus on analyzing data, generating reports, and supporting decision-making. Both roles require strong analytical skills and relevant credentials, but Data Leads typically have more leadership responsibilities and a broader strategic focus.

How does a data lead typically collaborate with cross-functional teams within an organization?

As a Data Lead, you will frequently collaborate with cross-functional teams such as engineering, product management, and business stakeholders to ensure data solutions align with organizational goals. This involves translating business requirements into technical data solutions, guiding data engineers and analysts, and communicating project progress to non-technical stakeholders. Regular meetings, clear documentation, and proactive communication are essential to facilitate alignment and deliver effective data-driven outcomes. This collaborative environment not only enhances project success but also supports professional growth through exposure to diverse perspectives and challenges.

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

To thrive as a Data Lead, you need expertise in data analysis, data management, and a strong understanding of database systems, often supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and experience with ETL processes or cloud data solutions is typically required. Outstanding leadership, communication, and problem-solving skills enable effective team management and cross-functional collaboration. These skills are crucial for ensuring data integrity, driving data-driven decision-making, and leading high-performing analytics teams.

What is a data lead?

A Data Lead is a professional responsible for overseeing a team of data analysts, engineers, or scientists and managing data-related projects within an organization. They ensure the quality, integrity, and security of data, and often develop strategies to leverage data for business insights and decision-making. Data Leads coordinate between technical teams and business stakeholders, set data governance standards, and may also be involved in designing data architectures or analytics solutions. Their role is critical in helping organizations make data-driven decisions and maintain competitive advantage.
What are popular job titles related to Data Lead jobs in Kansas? For Data Lead jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Lead jobs in Kansas look for? The top searched job categories for Data Lead jobs in Kansas are:
Data Lead jobs near you
Infographic showing various Data Lead 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,007 per year, or $62.5 per hour.

Data Engineer III

27Global

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Posted 8 days ago

Job description

Description:

27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evidenced by our five Best Places to Work awards.


We’re looking for a Data Engineer III to join our team! You’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.


Joining 27Global as a Data Engineer III is an exciting high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation.


Your Role:

  • Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads.
  • Design, implement, and optimize data pipelines and integration frameworks for batch, streaming, and real-time processing.
  • Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design.
  • Develop and maintain conceptual, logical, and physical data models to support evolving business requirements and enterprise data strategies.
  • Contribute to the architecture and evolution of modern data platforms including data lakes, lakehouses, and cloud-native data warehouses.
  • Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
  • Implement and productionize feature engineering pipelines, model data pipelines, and real-time inference capabilities.
  • Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
  • Provide technical leadership and mentorship to junior data engineers, supporting code reviews, design discussions, and engineering best practices.
  • Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions with organizational goals.
  • Evaluate emerging technologies and recommend improvements to data platform architecture, performance, and scalability.
  • Participate in architecture discussions and contribute to enterprise data strategy, ensuring solutions align with long-term platform goals.


Requirements:

What You Bring:

  • BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 5–8 years of experience in data engineering, data architecture, or related roles delivering scalable data platforms from design through production.
  • Strong experience developing software using .NET or other object-oriented programming languages in Agile environments.
  • Proven experience designing and implementing enterprise-scale data pipelines and cloud-based data platforms.
  • Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, relational and NoSQL databases, AWS Glue, and Azure Synapse.
  • Advanced experience with SQL, ETL/ELT frameworks, and data modeling techniques.
  • Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and lakehouse architectures.
  • Working knowledge of data governance, security, and compliance frameworks.
  • Experience contributing to data architecture decisions, platform design, and long-term data strategy.
  • Strong collaboration and leadership skills with the ability to guide technical teams and influence stakeholders.
  • Ability to context switch and work on a variety of projects over specified periods of time.
  • Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices.
  • Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less.
  • Legal authorization to work in the United States and the ability to prove eligibility at the time of hire.

Ways to Stand Out:

  • Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer.
  • Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
  • Experience with big data technologies such as Spark and Kafka.
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning pipelines and real-time analytics.
  • Experience contributing to enterprise data architecture and governance initiatives.
  • Strong communication skills with the ability to present technical solutions to both engineering teams and business stakeholders.
  • Experience in client-facing consulting environments, helping guide data platform strategy and implementation.

Why 27G?

  • Four-time award winner of Best Place to Work by the Kansas City Business Journal.
  • A casual and fun small business work environment.
  • Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
  • Dedicated time for learning, development, research, and certifications.