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Azure Big Data Engineer Jobs in Kansas (NOW HIRING)

Axos Bank

Sr Systems Engineer - Azure

Overland Park, KS · Hybrid

$120K - $150K/yr

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has ... Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ...

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 ... Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with ...

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Manager, Data Engineering

Kansas City, KS · On-site

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Deloitte

Cyber - SecOps - Consultant

Wichita, KS

... data engineering, and AI-enabled capabilities. You will work with leading technologies and help ... Microsoft Azure * 1+ years of experience with security operations center threat hunting and ...

OTSI

Assoc Engineering Technician

Overland Park, KS · On-site

Our focused technologies are: • Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) • Digital Transformation (Cloud Computing ...

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Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
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Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer with Databricks, SQL

Amaze Systems Inc

Overland Park, KS • On-site

$108K - $130K/yr

Other

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

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

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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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