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Manager Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Data Engineer

Leawood, KS · Hybrid

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Data Engineer

Wichita, KS · On-site

$113K - $135.70K/yr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Data Engineer

Milton, KS · On-site

$97.60K - $117.20K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Data Engineer Location: Leawood, KS (Hybrid) Job Type: Contract - We are seeking a skilled Data ... Collaborate with data analysts, data scientists, and business stakeholders to understand data ...

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Data Engineer Location: Leawood, KS (Hybrid) Job Type: Contract - We are seeking a skilled Data ... Collaborate with data analysts, data scientists, and business stakeholders to understand data ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Extract, clean, build and manage data sets to run models and simulations intended to root cause and ... Bachelor's degree in industrial engineering, Supply Chain, Data Analytics, business, or related ...

Data Analyst As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be ... analytics solutions (including artificial intelligence); background in claims, risk management ...

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... analytics solutions (including artificial intelligence); background in claims, risk management ...

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... analytics solutions (including artificial intelligence); background in claims, risk management ...

Extract, clean, build and manage data sets to run models and simulations intended to root cause and ... Bachelor's degree in industrial engineering, Supply Chain, Data Analytics, business, or related ...

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Showing results 1-20

Manager Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Kansas? The most popular types of Data Analytics Engineer jobs in Kansas are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Kansas? For Manager Data Analytics Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Kansas look for? The top searched job categories for Manager Data Analytics Engineer jobs in Kansas are:
What cities in Kansas are hiring for Manager Data Analytics Engineer jobs? Cities in Kansas with the most Manager Data Analytics Engineer job openings:
Data Engineer

$111.40K - $133.80K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 20 days ago


Job description

Job Details
Job Title
Data Engineer
Business Function
Corporate
Branch Name
Murphy-Hoffman Company
Date
04-07-2026
Address
4501 College Blvd
City
Leawood
State
KS
Job Overview & Essential Functions
Murphy-Hoffman Company, LLC is North America's largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer is responsible for designing and developing data infrastructure to ensure availability of data throughout the organization, as well as implementing systems to integrate (replicate, extract, transform, load) data in batch or near-real-time. The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data models. This position is fully in office 5 days a week in Leawood, KS.
  • Develops, tests, and maintains data pipelines and Extract, Transform, Load activities.
  • Prepares data for various business use cases including data science, prescriptive and predictive modeling.
  • Collaborates with the data architect to build and maintain the data systems specified by the data architect's data framework.
  • Designs, builds, and implements enterprise data warehouse and/or data lake for data storage and modeling in downstream analytics and reporting.
  • Creates and maintains data models designed according to best practices which improve performance, flexibility, and accuracy used for analytics and reporting.
  • Performs other duties as assigned by supervisor.

Qualifications
  • Bachelor's degree in Data Management, Data Science, BI Analytics, or related
  • Proven expertise in data modeling and data transformation
  • Strong knowledge of database structure systems and data mining
  • Experience working with Snowflake, Azure Data Factory, Qlik Replicate, SQL, T-SQL, DBT, Microsoft Fabric, Python/PySpark.
  • Ability to work in a team environment and independently as
  • Ability to work effectively in fast-paced changing environment and effectively manage multiple priorities within established time
  • Proven ability to effectively communicate issues and potential resolutions to business units, other team members, project managers, and leaders as necessary.

Benefits
  • Competitive Salary
  • Medical, Dental and Prescription Insurance
  • Disability and Life Insurance
  • Paid Time Off program
  • 401k and Profit Sharing with Employer Match
  • Flexible Spending Account
  • Internal Promotion Opportunities
  • On the Job Training

About Us
MHC is an expansion of the original company, Ozark Kenworth, Inc. Ozark Kenworth started in Springfield, Missouri, in January 1975. Opening for business without a Parts or Service department and only three employees in a temporary facility. From there, the company grew and expanded. MHC is now a multi-state network of full-service diesel truck dealerships, leasing and rental operations, transport refrigeration locations, and a finance company which offers a complete array of finance and insurance services. We believe in fostering an environment that helps employees realize their full potential - a place where you can grow as a person and a professional.
Equal Opportunity Employer / Veterans / Disabled