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Associate Data Engineer Jobs in Peck, KS (NOW HIRING)

GE Aerospace

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

... Associates degree with minimum of 4 years of professional experience OR High School Diploma with ... management & data lineage techniques * Hands-on experience in programming languages like Java ...

The Boeing Company

Associate Tool Engineer

Wichita, KS · On-site

$76 - $116/hr

Applies engineering principles and technical knowledge to the design and support of airplane ... Lays out or creates computer-generated models in conjunction with numerical control data ...

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Associate Data Engineer information

See Peck, KS salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for associate data engineer in Peck, KS is $16.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $17.60 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

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 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 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 an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What cities near Peck, KS are hiring for Associate Data Engineer jobs?

Cities near Peck, KS with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Peck, KS as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $34,341 per year, or $16.5 per hour.

Data Engineer

GE Aerospace

Arkansas City, KS • On-site

$94K - $114K/yr

Full-time

Posted 23 days ago

GE Aerospace rating

8.8

Company rating: 8.8 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

14th of 72 rated aerospace companies

Job description

Job Description Summary
Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed.
** Please note this is an On-Site position in Arkansas City, KS.*
Job Description
Roles and Responsibilities
In this role, you will:
  • Leverage technical data dictionaries and business glossaries to analyze the datasets
  • Perform data profiling and data analysis for any source systems and the target data repositories
  • Understand metadata and the underlying data structures needed to standardize the data load processes.
  • Develop data mapping specifications based on the results of data analysis and functional requirements
  • Perform a variety of data loads & data transformations using multiple tools and technologies.
  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
  • Validate the data mapping results and match with the expected results
  • Implement Data Quality (DQ) rules provided
  • Design, develop, implement, and support Spotfire reporting dashboards.
  • Daily maintenance support of dashboards

Minimum Qualifications:
  • Bachelor's degree from accredited university or college with minimum of 1 years of professional experience OR Associates degree with minimum of 4 years of professional experience OR High School Diploma with minimum of 6 years of professional experience
  • Note: Military experience is equivalent to professional experience
  • Eligibility Requirement:
  • -Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
  • Ability to be on-site for the role to support customers.

Preferred Qualifications:
  • Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques
  • Hands-on experience in programming languages like Java, Python or Scala Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
  • Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models
  • Experience in Excel's modern analytics suite, specifically data modeling via Power Query and structured reporting through Pivot Tables
  • Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
  • Exposure to unstructured datasets and ability to handle XML, JSON file formats
  • Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend

Domain Expertise:
  • Exposure to handling machine or sensor datasets from industrial businesses
  • Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.
  • Exposure to finance and accounting data domains

Leadership skills:
  • Partner with other team members to understand the project objectives and resolve technical issues.
  • Communicate project status or challenges in a clear and concise manner to the cross team members.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: No

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