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Associate Data Engineer Jobs in Kansas (NOW HIRING)

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 ...

Cloud Engineer II

Leawood, KS · On-site

$54.25 - $72.50/hr

... data engineering. We pride ourselves on the quality of the services we deliver, the clients we ... Relevant certifications (eg. AWS Solutions Architect Associate, AWS DevOps Engineer, Azure ...

We are looking for a talented Associate Product Owner to join our IT Enterprise Data Services team ... Establish seamless collaboration between the Data Engineering and Data Analytics teams by clearly ...

Assoc SW Engineer - Java, Spring Boot, AWS

Wichita, KS · Remote

$46.25 - $63.50/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

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Assoc SW Engineer - Java, Spring Boot, AWS

Topeka, KS · Remote

$49 - $67.25/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of May 29, 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 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 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 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 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.

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:

$94.30K - $113.20K/yr

Full-time

Posted 11 days ago


Job description

Prysmian is the world leader in the energy and telecom cable systems industry. Each year Prysmian manufacturers thousands of miles of underground and submarine cables and systems for power transmission and distribution, as well as medium low voltage cables for the construction and infrastructure sectors. We also produce a comprehensive range of optical fibers, copper cables and connectivity for voice, video, and data transmission for the telecommunication sector.
We are 30,000 employees, across 50+ countries. Everyone at Prysmian has the potential to make their mark; because whatever you do, wherever you are based, you will be part of a company that is helping transform the world around us. Make Your Mark at Prysmian!
Role Purpose
The Industrial Data Engineer will serve as the technical and analytical bridge between Operations Technology (OT) and enterprise analytics. This role owns the end-to-end flow of operational data-from historians and SCADA systems through to cloud storage and business intelligence-transforming raw plant data into trusted, actionable insights that power operational excellence and future AI initiatives across the organization.
Qualifications
  • 5+ years in a manufacturing analytics role.
  • Bachelor's degree in computer science, data science, or engineering
  • Experience with AVEVA, Ignition, PLC tags required
  • Willingness to travel at least 50% also required

Scope & Ownership
The Industrial Data Engineer will manage the entire analytics pipeline-from data collection at the historian layer to visualization and reporting-while plant engineering teams continue to own PLC-to-server connections. This role includes administrator-level control across data platforms, ensuring reliability, governance, and scalability.
  • Own end-to-end data flow from OT historians (PI, Aveva, Ignition) to analytics and reporting environments.
  • Design, script, and maintain ETL/ELT pipelines for historian-to-cloud data movement using Python, SQL, and AWS services.
  • Develop reusable data models, APIs, and standardized data structures for use across plants and digital platforms.
  • Troubleshoot and resolve data flow disruptions, historian tag failures, and dashboard refresh issues.
  • Collaborate with plant engineers, OT, and IT teams to maintain secure, standardized, and reliable data pipelines.

Tools, Tech Stack & Standards
This role operates across a comprehensive industrial analytics ecosystem, connecting OT data systems with enterprise analytics and cloud platforms. The engineer will begin by stabilizing existing infrastructure and progress into modernizing and evaluating new tools and integrations.
  • OT & Historian Layer: AVEVA PI System / AF, Aveva Insight, Ignition (Vision, Perspective, Tag Historian).
  • Visualization & BI: QlikSense enterprise dashboards.
  • Data Transformation: SQL and Python for modeling, scripting, and automation.
  • Cloud Integration: AWS services (S3, Glue, Lambda, IoT Core) for data storage, transformation, and orchestration.
  • Governance: Implement and enforce data naming conventions, lineage documentation, and retention policies.
  • Automation: Develop and maintain automated ETL pipelines and data orchestration workflows.

Expected Outcomes & Deliverables
The Industrial Data Engineer delivers a unified, reliable, and scalable data ecosystem that connects OT systems to analytics, reporting, and AI readiness layers. The role transforms raw industrial data into structured insights, enables standardized reporting, and prepares the organization for advanced digital initiatives.
  • Deliver automated, validated, and standardized dashboards and reports for OEE, downtime, scrap, and energy KPIs.
  • Develop APIs and data connectors to share information across MES, CMMS, and other digital platforms.
  • Ensure data models and structures are AI-ready for future machine-learning applications.
  • Standardize KPI definitions and data models across plants, allowing variation only where process differences require.
  • Integrate analytics and insights into operational processes and decision-making workflows.
  • Mentor junior analysts and plant associates, building local data literacy and self-service analytics capabilities.

Organizational Fit & Growth
This role is positioned within the OT and Operations organization, acting as a bridge across Operations, IT, and Engineering. The Controls Engineer will work horizontally across multiple functions to ensure data flows seamlessly and securely from the plant floor to enterprise analytics platforms.
  • Reports to: OT and Operations organization.
  • Collaborates with IT for ERP, AWS, and network integrations.
  • Works with Engineering at the plant level for PLC-to-server and OT network data reliability.
  • Initial focus: Stabilize and standardize data flows and dashboards across plants.
  • Long-term evolution: Grow into Data Architecture and Systems Strategy leadership, defining enterprise standards for OT data.
  • Future collaboration: Partner with external AI specialists when the organization moves into predictive and AI-driven initiatives.

Why Join
This position offers the opportunity to define the digital data backbone of the organization's manufacturing network. You will build systems that not only enable operational visibility today but also form the foundation for tomorrow's AI-driven manufacturing intelligence. The Controls Engineer will play a pivotal role in connecting plants, data, and decisions.
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Job Offer Fraud Alert
We take the security of our candidates seriously. Please be aware of job offer scams involving individuals falsely claiming to represent our company.
Our company will **never**:
  • Ask for payment, fees, or financial information at any stage of the recruitment process
  • Request passwords, banking details, or copies of personal identification via email or text
  • Extend a job offer without a formal interview process
  • Communicate from non-company email addresses (e.g., Gmail, Yahoo)

All legitimate communications from our recruitment team will come from an official company email domain (ending in @prysmian.com).
If you believe you have been contacted regarding a fraudulent job offer or are unsure about the authenticity of a message, please contact us directly at [email protected].
Prysmian, as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.
All Managers and HRs in Prysmian are responsible for ensuring DE&I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.
Visit our DE&I Page to learn more about Prysmian's commitments.
Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please contact us at [email protected].