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Data Engineer Jobs in Augusta, KS (NOW HIRING)

City of Wichita

Wastewater Process Engineer

Wichita, KS

$82K - $149K/yr

Performs data control activities; proofreads and reviews process data reports to ensure accuracy of data entered; balances values and makes necessary corrections or adjustments. Serves as a resource ...

City of Wichita, KS

Wastewater Process Engineer

Wichita, KS · On-site

$82K - $149K/yr

Performs data control activities; proofreads and reviews process data reports to ensure accuracy of ... Thorough knowledge of wastewater engineering and design, treatment processes, flow monitoring, and ...

SST Direct

Electrical Engineer (Contract)

Wichita, KS · On-site

$70 - $75/hr

Analyze ground and flight test data to verify system performance and functionality. * Support engineering change management through research, trade studies, design reviews, impact analysis, and ...

SST Direct

Electrical Engineer (Contract)

Wichita, KS · On-site

$96.43 - $103.32/hr

Analyze ground and flight test data to verify system performance and functionality. * Support engineering change management through research, trade studies, design reviews, impact analysis, and ...

Axius Group LLC

Manufacturing Engineer

Park City, KS · On-site

$75 - $110/hr

SUMMARYThe Manufacturing Engineer is responsible for developing, implementing, and optimizing ... Reviews and approves supplier data to ensure manufacturing related requirements are met.Confers ...

AXIUS GROUP LLC

Manufacturing Engineer

Park City, KS

$65K - $84K/yr

SUMMARY The Manufacturing Engineer is responsible for developing, implementing, and optimizing ... Reviews and approves supplier data to ensure manufacturing related requirements are met. * Confers ...

Axius Group

Manufacturing Engineer

Park City, KS · On-site

$80 - $105/hr

The engineer collaborates with cross-functional teams, including design, quality, and production ... Review and approve supplier data to ensure manufacturing related requirements are met. * Confers ...

Max-Aerostructures-LL

Manufacturing Engineer

Wichita, KS · On-site

$80 - $110/hr

... data controlAssist machining business unit on the methods engineering tasksAssist with programming and production to develop efficient and strong machining processAssist with customer documentation ...

New

MAX AEROSTRUCTURES LLC

Manufacturing Engineer

Wichita, KS · On-site

$54K - $70K/yr

Document data control * Assist machining business unit on the methods engineering tasks * Assist with programming and production to develop efficient and strong machining process * Assist with ...

Flint Hills Resources

Software Engineer

Wichita, KS · On-site

$90 - $120/hr

As an Engineer for Flint Hills Resources, you will create tangible value by leveraging your ... Explore, develop, and implement solutions that maintain and enhance our data platform applications ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Augusta, KS

Data Engineer information

See Augusta, KS salary details

$40.5K

$118K

$161.5K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Augusta, KS is $118,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Augusta, KS as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,008 per year, or $56.7 per hour.

Director, Product Management - Data Intelligence Foundation (Wichita)

Relativity

Wichita, KS • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence. The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and RequirementsWhat you’ll ownThe full PM layer across multiple engineering orgs

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning: what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ years leading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an

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