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Data Engineer With Jobs in Kansas (NOW HIRING)

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... Partners with team lead to identify technical requirements and alternatives to accomplish projects ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description * Led App Development teams and are aware of working with distributed systems * Are well aware of ...

TRUITY CREDIT UNION

Data & AI Engineer

Lawrence, KS · On-site

$108K - $129K/yr

Youll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world ...

StackAdapt

... data engineering and large-scale distributed systems. The Team: Mobile App User Acquisition Our ... Collaborate with data scientists and product teams to integrate ML models and sophisticated ...

Moore

Data Programmer

Topeka, KS · On-site

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Finite State

Participate in product discovery and help shape roadmaps with a strong technical and data-informed ... Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and ...

Cloudera

Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform complex ... With as much data under management as the hyperscalers, we're the preferred data partner for the ...

Finite State

Participate in product discovery and help shape roadmaps with a strong technical and data-informed ... Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and ...

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Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Kansas? For Data Engineer With jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Kansas look for? The top searched job categories for Data Engineer With jobs in Kansas are:
What cities in Kansas are hiring for Data Engineer With jobs? Cities in Kansas with the most Data Engineer With job openings:
Data Engineer With jobs near you
Senior Data Engineer

Senior Data Engineer

Garmin International, Inc.

Olathe, KS • On-site

$100K - $136K/yr

Full-time

Re-posted yesterday

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

9th of 143 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for leading administration of technology by contributing expertise in researching new technologies and proposing cost effective solutions.
Essential Functions
  • Provides technical input to feature development plans and concept documents
  • Administers/maintains a container-based and Kubernetes-based Airflow installations
  • Understands production and operations issues as they relate to engineering
  • Configures and administers data servers and Hadoop components
  • Develops scalable, extensible solution architectures leveraging contemporary big-data technologies in an evolving operational framework
  • Analyzes existing data structures and recommends improvements
  • Partners with team lead to identify technical requirements and alternatives to accomplish projects, leads major incident troubleshooting involving multiple disciplines and develops reliable solutions to complex problems which require ingenuity and creativity
  • Participates in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues
  • Participates in and helps guide research POCs, including design, coding, and performance and efficacy measurement
  • Provides significant contributions to defining team roadmap and priorities, facilitates team discussions and plans, and offers innovative suggestions within area of discipline
  • Demonstrates broad understanding of Garmin's business model, including various departments and is recognized as an expert in assigned discipline and applies extensive technical expertise and analysis to initiatives
  • Researches new technologies and proposes cost effective solutions and contributes input to broader technology solutions outside of discipline
  • Provides 24x7 on call support

Basic Qualifications
  • Bachelor's Degree in Computer Science, Information Technology, Management Information Systems, Business or related field AND a minimum of 5 years relevant experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • In-depth knowledge of Airflow, Kafka, Star Schema Modeling, Python, SQL, Streamlit and pySpark
  • Experience with Docker, Kubernetes, and Linux systems
  • Demonstrated ability to implement new technologies effectively
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Consistently demonstrates quality and effectiveness in work documentation/organization

Desired Qualifications
  • Outstanding academics (cumulative GPA greater than or equal to 3.5)
  • Experience with Java, Open Search, S3, Spark, Hadoop and various components

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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