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Data Engineer With Jobs in Kansas (NOW HIRING)

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data ...

Emprise Bank

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

The Data Engineer role is responsible for building and maintaining the data infrastructure that ... Ability to effectively build and maintain relationships with Emprise associates, vendors, and ...

New

Associated Wholesale Grocers

Data Engineer

Kansas City, KS

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST ... Collaborate with other developers and support engineers to resolve production, enhancement or ...

Bespoke Labs

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Pittsburg, KS · On-site

$87K - $105K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Topeka, KS · On-site

$108K - $130K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Overland Park, KS · On-site

$113K - $136K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

CrowdStrike

The future of cybersecurity starts with you. About the Role: CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... The scope of this job includes collaborating with data scientists, analysts, solutions partners ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site

$2.5K/yr

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... The scope of this job includes collaborating with data scientists, analysts, solutions partners ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their ...

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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
Data Engineer with Databricks, SQL

Data Engineer with Databricks, SQL

Amaze Systems Inc

Overland Park, KS • On-site

$108K - $130K/yr

Other

Posted 7 days ago

New

Job description

Candidates who have worked with FAANG or Good Product based companies are highly considerable
 
Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
WHAT YOU'LL DO
• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
Technical Skills
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
• Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
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About Amaze Systems

Sourced by ZipRecruiter

We strive to be the very best in our industry. We're the Best IT Specialists. We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams. Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Dallas, TX, US

Social media

Twitter

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