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Junior Data Engineering Jobs in Nebraska (NOW HIRING)

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities.

Data Engineer

Omaha, NE

$109K - $131K/yr

Bachelor's Degree Required Key Responsibilities Applications & Data Engineering * Systems ... Regularly guide junior developers on daily tasks, technical challenges, and career growth.

Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration. WHAT YOU'LL BRING: * Bachelor's degree in Computer Science ...

Lead Data Engineer

Omaha, NE · On-site

$98K - $129K/yr

Onsite Job Type: Full-Time Reports To: Sr. Manager of Data Engineering Capstone IT is helping a ... Guide junior engineers by providing technical direction, performing code reviews, and modeling best ...

Mentor junior engineers and contribute to a growing data engineering function * Translate complex business requirements into effective technical solutions Required Qualifications * Master's Degree ...

Mentor junior engineers and contribute to a growing data engineering function * Translate complex business requirements into effective technical solutions Required Qualifications * Master's Degree ...

Junior Developer

Omaha, NE · On-site

$64K - $83K/yr

Bachelor's degree in computer science, engineering, or a related field (or equivalent experience ... Solid understanding of software design principles, data structures, and object-oriented programming ...

Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... Regularly assists and guides junior developers on day-to-day tasks * Assists in the creation of ...

Data Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... Regularly assists and guides junior developers on day-to-day tasks * Assists in the creation of ...

Data Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... Regularly assists and guides junior developers on day-to-day tasks * Assists in the creation of ...

... analytics engineering and data modeling practices. Influence data modeling standards, naming conventions, and metric definitions across the organization. Mentor junior analytics engineers and ...

... engineering and data modeling practices. • Influence data modeling standards, naming conventions, and metric definitions across the organization. • Mentor junior analytics engineers and analysts ...

... data by external Combat Support Agencies. * Use ArcGIS Enterprise software to provide support to ... programming in Python scripting language * Shall individually demonstrate three (3) years of ...

Sr. Software Engineer

Papillion, NE · On-site +1

$115K - $152K/yr

Collaborate closely with data engineering teams to optimize data ingestion processes, enhance data ... Provide mentorship and technical guidance to junior engineers, fostering a culture of continuous ...

Java Full Stack Developer

Omaha, NE · On-site

$50.25 - $64.75/hr

Develop data processing solutions using Apache Spark. * Design and optimize relational and NoSQL ... Mentor junior developers and provide technical guidance to offshore development teams.

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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 Nebraska? The most popular types of Data Engineering jobs in Nebraska are:
What are popular job titles related to Junior Data Engineering jobs in Nebraska? For Junior Data Engineering jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Nebraska look for? The top searched job categories for Junior Data Engineering jobs in Nebraska are:
What cities in Nebraska are hiring for Junior Data Engineering jobs? Cities in Nebraska with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

Full-time

Re-posted 6 days ago


Job description

Minimum Clearance RequiredSecretResponsibilities

Journeyman Data Scientist:

A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with stakeholders to support business decisions.

Job Duties
  • Collect, clean, and prepare structured and unstructured data from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop, test, and deploy machine learning and statistical models.
  • Create predictive analytics solutions to support operational and strategic objectives.
  • Design and maintain data pipelines and analytical workflows.
  • Build dashboards, reports, and visualizations to communicate findings.
  • Validate model performance and recommend improvements.
  • Conduct data quality assessments and ensure data integrity.
  • Document methodologies, code, and analytical processes.
  • Support business units by translating complex data into actionable insights.
QualificationsTechnical Responsibilities
  • Apply statistical analysis, machine learning, and data mining techniques.
  • Develop algorithms and predictive models using programming languages such as Python, R, or SQL.
  • Work with large datasets using cloud and big data platforms.
  • Optimize model accuracy, scalability, and performance.
  • Implement model monitoring and maintenance procedures.
Business Responsibilities
  • Partner with business stakeholders to understand requirements and objectives.
  • Present findings and recommendations to technical and non-technical audiences.
  • Support data-driven decision-making across departments.
  • Identify opportunities for process improvement and automation.
Team Responsibilities
  • Collaborate with data engineers, software developers, analysts, and project managers.
  • Mentor junior data scientists and analysts.
  • Participate in code reviews and knowledge-sharing activities.
  • Follow organizational standards, governance, and security requirements.
Required Experience

Clearance Required: Secret or TS/SCI (not sure on this yet)

Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Master's degree preferred for some organizations.
Professional Experience
  • Typically 3-7 years of experience in data science, analytics, machine learning, or a related field.
  • Experience working with large-scale datasets and production environments.
  • Proven track record of delivering analytical solutions that drive business outcomes.
Technical Skills
  • Programming: Python, R, SQL.
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost.
  • Data Visualization: Tableau, Power BI, Matplotlib, Plotly.
Employment Type: FULL_TIME