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Data Engineer Intermediate Jobs in Kansas (NOW HIRING)

AXIUS GROUP LLC

Certification Engineer

Wichita, KS

Review engineering drawings, specifications, and technical data for compliance requirements ... Intermediate computer skills including spreadsheets, word processing, and technical documentation ...

CESO, Inc.

Electrical Project Engineer I

Overland Park, KS · On-site

$73K - $137K/yr

Create intermediate to advanced system layouts, detail drawings, schematics, and schedules using ... Computer skills necessary to enter daily timesheet data and use Microsoft Outlook for email ...

Pkaza

Senior Electrical Engineer

Stilwell, KS · On-site

$106K - $138K/yr

Senior Electrical Engineer - Data Center Design - Overland Park, KS Our client is a Leading ... Perform intermediate to advanced electrical design tasks including development of electrical ...

Lightedge

Support Engineer

Lenexa, KS

Intermediate knowledge of storage solutions, with a preference for experience (Pure, IBM, and ... If you would like more information about how your data is processed, please contact us.

Lightedge

Support Engineer

Lenexa, KS

Intermediate knowledge of storage solutions, with a preference for experience (Pure, IBM, and ... If you would like more information about how your data is processed, please contact us. apply for ...

Lightedge

Support Engineer

Lenexa, KS · On-site

Intermediate knowledge of storage solutions, with a preference for experience (Pure, IBM, and ... If you would like more information about how your data is processed, please contact us.

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Intermediate knowledge of HPC / Data Science * Water Resources Engineering Modeling Software * USACE Software Application Development (i.e. HEC-RAS, HEC-HMS, etc.) * Supplemental experience in one or ...

ANS

Substation Physical - Project Engineer

Overland Park, KS · On-site

$97K - $124K/yr

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... Intermediate CAD and PDF editor knowledge strongly preferred. Requirements: * BS in Electrical ...

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Data Engineer Intermediate information

What is an intermediate data engineer?

An intermediate data engineer is a professional who designs, builds, and maintains data pipelines and infrastructure, typically with several years of experience. They are proficient in tools like SQL, Python, and cloud platforms, and often work on optimizing data workflows and ensuring data quality. This role requires a solid understanding of data modeling, ETL processes, and basic knowledge of distributed systems.

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

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What engineer makes 500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require strong programming, data architecture, and leadership capabilities, along with relevant certifications and a track record of managing complex data systems.

What are Data Engineer Intermediates?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $300,000 or more annually. High compensation is often associated with working in large organizations, possessing specialized certifications, and leading complex data projects.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

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

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.
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 cities in Kansas are hiring for Data Engineer Intermediate jobs? Cities in Kansas with the most Data Engineer Intermediate job openings:
Data Engineer Intermediate jobs near you
SETS - Systems Engineer - Intermediate (Temp)

SETS - Systems Engineer - Intermediate (Temp)

Technology, Automation, and Management, Inc.

Mcconnell Air Force Base, KS

Temporary

Re-posted 8 days ago

Job description

This is a Temp position (6 months)

The Systems Engineer Intermediate will be responsible for providing high-level systems analysis, evaluation, design, integration, documentation, and implementation of complex applications that require a thorough knowledge of administrative and technical skills. This role will support the Air National Guard (ANG) enterprise network and its integration with the Air Force Network (AFNET), contributing to the overall IT infrastructure revitalization and enterprise IT initiatives.
Key Responsibilities:
? Perform high-level systems analysis, evaluation, design, integration, documentation, and implementation of complex applications.
? Develop detailed work plans, schedules, project estimates, resource plans, and status reports.
? Conduct project meetings and be responsible for project tracking and analysis.
? Ensure adherence to quality standards and review project deliverables.
? Manage the integration of vendor tasks and track and review vendor deliverables.
? Provide technical and analytical guidance to project teams.
? Direct and participate in all phases of system development with emphasis on planning, analysis, evaluation, integration, testing, and acceptance phases (IV&V and DT&E).
? Provide technical support in the development of data migration strategies and the transition of legacy data to shared data environments.
? Assist in the development of DODAF architecture Views and recommendations for system configuration management program improvements.
? Support the fielding of IT systems by defining the synchronization sequence of fielding tasks for planned IT deployments.
? Provide technical integration support for ANG stakeholders across the United States? 54 states and territories.
? Evaluate process models within a functional area to facilitate data model development and data integration.
? Develop, review, and update Independent Government Estimates (IGEs), Performance Work Statements (PWS), Statements of Work (SOW), and Evaluation Criteria.
? Assist in source selection advising and the development of acquisition strategies and evaluation plans.
? Participate with a team of analysts supporting ANG acquisition activities, conducting evaluations, recommending management improvements, and implementing solutions.
? Anticipate potential chokepoints and identify workarounds.
? Monitor milestone schedule execution and author/review documents as necessary.
? Provide advice and strategic planning assistance to management.
? Maintain historical acquisition documents and records.

Position Responsibilities:
Conducts complex systems analysis, design, integration, and implementation under general supervision. Utilizes advanced administrative and technical skills, focusing on planning, analysis, evaluation, and testing phases. Applies high-level principles to solve challenging technical problems, creating automated solutions.

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