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Data Engineer Contract Jobs in Lenexa, KS (NOW HIRING)

Data Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

The Data Engineer designs, builds, and supports scalable data products and platform capabilities ... data contracts, and solution designs that align with enterprise standards and business needs.

Data Engineer II

Kansas City, MO ยท On-site

$111K - $134K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Lead AI Engineer

Kansas City, KS ยท On-site

$98K - $130K/yr

Preferably worked as Data Engineering Leads * Are tech savvy, have tried out building Gen AI apps. Role Overview * Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an ...

Data Architect

Lenexa, KS ยท On-site

$59.75 - $77/hr

Partner with the SQL Server DBA/Data Engineer on HA/DR, retention, and archival design - including ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Data/AI Solutions Analyst

Kansas City, MO ยท On-site

$50 - $55/hr

Data/AI Solutions Analyst Kansas City, MO (On-site) 12-Month Contract-to-Hire Compensation: $50 ... This is not a traditional data engineering role-it's a dynamic opportunity for someone who can move ...

Azure Cloud Engineer

Kansas City, MO ยท On-site

$54.25 - $72.50/hr

Multiyear Contract Security Clearance: [ship with Public trust / Secret / Top Secret -- Required] Responsibilities: We are looking for Azure Cloud Engineers with experience integrating data from ...

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Data Engineer Contract information

See Lenexa, KS salary details

$41.8K

$121.8K

$166.6K

How much do data engineer contract jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer contract in Lenexa, KS is $121,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Lenexa, KS?

The most popular types of Data Engineer jobs in Lenexa, KS are:

What are popular job titles related to Data Engineer Contract jobs in Lenexa, KS?

For Data Engineer Contract jobs in Lenexa, KS, the most frequently searched job titles are:

What cities near Lenexa, KS are hiring for Data Engineer Contract jobs?

Cities near Lenexa, KS with the most Data Engineer Contract job openings:

Infographic showing various Data Engineer Contract job openings in Lenexa, KS as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $121,767 per year, or $58.5 per hour.

$111K - $133K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 27 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 designs, builds, and supports scalable data products and platform capabilities that enable trusted, timely, and governed data across the organization. This role develops and maintains batch and real-time data pipelines, integrates data from operational and third-party systems, and transforms raw data into analytics-ready assets for reporting, self-service analytics, operational intelligence, and advanced analytics use cases. The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in Leawood, KS.
  • Designs, develops, tests, deploys, and maintains scalable data pipelines, ingestion solutions, and data integration processes that support batch and real-time / streaming workloads using tools and services such as Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Confluent Cloud, Kafka, and Flink.
  • Implements and supports change data capture (CDC), event-driven, and streaming architecture patterns, including Kafka topics, schema-aware ingestion, and near-real-time data delivery to downstream consumers.
  • Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases.
  • Creates and maintains data models, lakehouse / warehouse structures, and semantic-ready datasets that enable scalable, trusted, and high-performing downstream analytics and reporting.
  • Collaborates with data architects, analysts, application teams, and business stakeholders to define source-to-target mappings, business rules, data contracts, and solution designs that align with enterprise standards and business needs.
  • Builds and maintains reusable frameworks, templates, engineering standards, and deployment practices; including CI/CD, version control, and release processes for notebooks, dbt models, SQL objects, and pipeline definitions to improve consistency, scalability, speed, and long-term maintainability across the data platform.
  • Applies data quality, testing, reconciliation, monitoring, and documentation practices to ensure data completeness, accuracy, freshness, reliability, supportability, knowledge transfer, and auditability.
  • Troubleshoots data platform issues, production incidents, and root causes; communicates impacts and recommended resolutions clearly to technical and business stakeholders; and stays current on modern data engineering patters, platform capabilities, and security / governance requirements to recommend improvements that increase platform maturity and business value.
  • Performs other duties as assigned by supervisor.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field; equivalent practical experience may be considered.
  • Demonstrated experience designing and building data pipelines, data integration solutions, and analytical data models in cloud data platform environments, with a strong understanding of data warehousing, dimensional modeling, lakehouse concepts, and enterprise data best practices.
  • Strong proficiency in SQL and data transformation techniques, with hands-on experience using Python and/or PySpark for pipeline development and data processing, as well as modern engineering practices such as dbt, source control, testing, documentation, and CI/CD.
  • Experience with Snowflake and/or Microsoft Fabric for data engineering, storage, transformation, and analytics enablement.
  • Experience working Azure Data Factory (ADF) or comparable orchestration tooling for enterprise data movement, scheduling, and workflow automation.
  • Experience with Confluent Cloud and Apache Kafka concepts, including topics, partitions, schemas, event-driving processing, streaming integration patters, and CDC / near-real-time data delivery.
  • Ability to work in a team environment and independently and collaboratively in a fast-paced environment with multiple priorities and changing requirements, with strong written and verbal communication skills and the ability to explain technical issues, tradeoffs, and recommended resolutions to diverse audiences.

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