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Junior Data Engineering Jobs in Kansas (NOW HIRING)

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Implement and productionize feature engineering pipelines, model data pipelines, and real-time ... Provide technical leadership and mentorship to junior data engineers, supporting code reviews ...

New

OTSI

Assoc Engineering Technician

Overland Park, KS · On-site

Beginsproviding technical guidance and mentorship to junior engineeringtechnicians SKILLS AND ... We help organizations modernise complex technology landscapes, harness the power of data, and build ...

OTSI

Assoc Engineering Technician

Overland Park, KS · On-site

... junior engineering technicians SKILLS AND ABILITIES REQUIRED: Experience with Civil 3D grading ... Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

... and data engineering techniques to address challenging business problems. Essential Functions ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

SynergisticIT

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

... Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to ...

Seaboard

Data and Analytics Manager

Merriam, KS

... junior analyst at the end of the day. At this team size, the manager must be both a strategic ... Work with the Data Engineer to establish and monitor data quality frameworks * Ensure compliance ...

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Junior Data Engineering information

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Kansas? The most popular types of Data Engineering jobs in Kansas are:
What are popular job titles related to Junior Data Engineering jobs in Kansas? For Junior Data Engineering jobs in Kansas, the most frequently searched job titles are:
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What cities in Kansas are hiring for Junior Data Engineering jobs? Cities in Kansas with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Data Engineer III

27Global

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Posted yesterday

New

Job description

Description:

27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evidenced by our five Best Places to Work awards.


We’re looking for a Data Engineer III to join our team! You’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.


Joining 27Global as a Data Engineer III is an exciting high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation.


Your Role:

  • Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads.
  • Design, implement, and optimize data pipelines and integration frameworks for batch, streaming, and real-time processing.
  • Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design.
  • Develop and maintain conceptual, logical, and physical data models to support evolving business requirements and enterprise data strategies.
  • Contribute to the architecture and evolution of modern data platforms including data lakes, lakehouses, and cloud-native data warehouses.
  • Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
  • Implement and productionize feature engineering pipelines, model data pipelines, and real-time inference capabilities.
  • Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
  • Provide technical leadership and mentorship to junior data engineers, supporting code reviews, design discussions, and engineering best practices.
  • Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions with organizational goals.
  • Evaluate emerging technologies and recommend improvements to data platform architecture, performance, and scalability.
  • Participate in architecture discussions and contribute to enterprise data strategy, ensuring solutions align with long-term platform goals.


Requirements:

What You Bring:

  • BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 5–8 years of experience in data engineering, data architecture, or related roles delivering scalable data platforms from design through production.
  • Strong experience developing software using .NET or other object-oriented programming languages in Agile environments.
  • Proven experience designing and implementing enterprise-scale data pipelines and cloud-based data platforms.
  • Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, relational and NoSQL databases, AWS Glue, and Azure Synapse.
  • Advanced experience with SQL, ETL/ELT frameworks, and data modeling techniques.
  • Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and lakehouse architectures.
  • Working knowledge of data governance, security, and compliance frameworks.
  • Experience contributing to data architecture decisions, platform design, and long-term data strategy.
  • Strong collaboration and leadership skills with the ability to guide technical teams and influence stakeholders.
  • Ability to context switch and work on a variety of projects over specified periods of time.
  • Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices.
  • Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less.
  • Legal authorization to work in the United States and the ability to prove eligibility at the time of hire.

Ways to Stand Out:

  • Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer.
  • Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
  • Experience with big data technologies such as Spark and Kafka.
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning pipelines and real-time analytics.
  • Experience contributing to enterprise data architecture and governance initiatives.
  • Strong communication skills with the ability to present technical solutions to both engineering teams and business stakeholders.
  • Experience in client-facing consulting environments, helping guide data platform strategy and implementation.

Why 27G?

  • Four-time award winner of Best Place to Work by the Kansas City Business Journal.
  • A casual and fun small business work environment.
  • Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
  • Dedicated time for learning, development, research, and certifications.