ZipRecruiter

Log In

1

Associate Data Engineer Jobs in Kansas (NOW HIRING)

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Miamioh

BI ETL Data Developer II or III

Hoyt, KS

Associate's degree in computer science, information technology, or a relevant field earned by date ... BI ETL Data Developer II * Ability to analyze complex data and develop practical, scalable ...

RxBenefits

Associate Software Engineer

Wichita, KS · On-site +1

Follow secure coding, compliance, and data protection practices. * Use CI/CD pipelines, version ... The Associate Software Engineer will gain experience in the following areas: Cloud & Infrastructure

Ascend Learning

Associate Quality Engineer

Leawood, KS · On-site

The Associate Quality Engineer will be responsible for contributing to the team that ensures our ... Use AI tools to generate and optimize test cases, scripts, and test data * Leverage AI to assist ...

Accenture

GCP Sales Engineer - Data & AI

Overland Park, KS · On-site

$163K - $369K/yr

Avoid duplication across Data & AI and Cloud teams. Go-to-Market & Commercialization * Package ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

Procyon TS

Software Engineer

Wichita, KS

... Cleansing engineer/intern is to analyze all material master information in legacy systems and ... ensure data quality and accuracy. Requirements * Associates degree in Information Technology ...

next page

Showing results 1-20

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Kansas

Associate Data Engineer information

See Kansas salary details

$8

$16

$27

How much do associate data engineer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for associate data engineer in Kansas is $16.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $17.79 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Kansas? The most popular types of Data Engineer jobs in Kansas are:
What are popular job titles related to Associate Data Engineer jobs in Kansas? For Associate Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Kansas look for? The top searched job categories for Associate Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Associate Data Engineer jobs? Cities in Kansas with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Kansas as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $34,759 per year, or $16.7 per hour.
W2 - DATABASE DEVELOPER/ENGINEER- PYTHON / AZURE DATA FACTORY / AZURE DB

W2 - DATABASE DEVELOPER/ENGINEER- PYTHON / AZURE DATA FACTORY / AZURE DB

Aptiva Corp

Overland Park, KS • On-site

$54.25 - $67.50/hr

Full-time

Posted 25 days ago

Job description

 
 

ROLE : DATABASE DEVELOPER (PYTHON / AZURE DATA FACTORY / AZURE DB)

LOCATION : OVERLAND PARK, KS

DAY 1 ONSITE

5 DAYS/WEEK

We are looking for a highly skilled and experienced Database Developer with deep expertise in Python programming , Azure Data Factory (ADF) , and Azure SQL / Cosmos DB / other Azure databases . The ideal candidate will have a strong background in data engineering, ETL pipeline development, and cloud-based database solutions.

RESPONSIBILITIES:

  • Design, develop, and maintain robust ETL pipelines using Azure Data Factory
  • Write clean, efficient, and reusable Python code for data ingestion, transformation, and automation tasks
  • Work with Azure SQL Database, Azure Cosmos DB , and other Azure data storage services to manage data structures and optimize performance
  • Collaborate with data analysts, engineers, and business teams to gather requirements and deliver scalable data solutions
  • Implement data validation, quality checks, and monitoring across data pipelines
  • Troubleshoot and resolve data pipeline issues and performance bottlenecks
  • Ensure security and compliance across data processes and platforms

QUALIFICATIONS:

  • 5+ years of experience in database development / data engineering
  • Strong expertise in Python , especially for data processing and scripting
  • Proven hands-on experience with Azure Data Factory (ADF) , including pipeline creation, data flows, and triggers
  • Experience with Azure SQL Database , Cosmos DB , or similar cloud-native databases
  • Solid understanding of ETL/ELT concepts , data modeling , and data warehousing
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines in data workflows
  • Excellent problem-solving and debugging skills
  • Strong communication skills and ability to work in a collaborative environment

BEHAVIORAL SKILLS:

  • Azure Certifications (e.g., Azure Data Engineer Associate )
  • Experience with Databricks , Synapse Analytics , or Power BI
  • Exposure to big data ecosystems and tools