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Junior Geospatial Data Engineer Jobs in Nebraska

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.

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

$58K/yr

As a Junior Data Center Infrastructure Engineer, you will support day-to-day operational tasks across our data center locations. Working closely with senior engineers and vendors, you will assist ...

New

... data modeling standards, naming conventions, and metric definitions across the organization. • Mentor junior analytics engineers and analysts. • Partner with platform leadership on analytics ...

Water Resources Practice Lead

Omaha, NE · On-site

$145K - $185K/yr

Manage and mentor junior staff to see that designs and plans are appropriately compiled, on time ... engineering, architecture, planning, environmental, surveying, geospatial, and construction ...

Water Resources Practice Lead

Omaha, NE · On-site

$145K - $185K/yr

Manage and mentor junior staff to see that designs and plans are appropriately compiled, on time ... engineering, architecture, planning, environmental, surveying, geospatial, and construction ...

Influence data modeling standards, naming conventions, and metric definitions across the organization. Mentor junior analytics engineers and analysts. Partner with platform leadership on analytics ...

... data modeling standards, naming conventions, and metric definitions across the organization. • Mentor junior analytics engineers and analysts. • Partner with platform leadership on analytics ...

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 ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

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Junior Geospatial Data Engineer information

What is the difference between Junior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectJunior Geospatial Data EngineerGeospatial Data Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography, Data Science; certifications optional
Work EnvironmentData engineering teams, GIS departments, tech firmsResearch teams, government agencies, consulting firms
Employer & Industry UsageTech companies, urban planning, environmental firmsGovernment, research institutions, private consulting

Junior Geospatial Data Engineers focus on building and maintaining geospatial data infrastructure, pipelines, and databases. In contrast, Geospatial Data Analysts interpret and analyze geospatial data to generate insights. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

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Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

$90K - $125K/yr

Full-time

Posted 24 days ago


Job description

Minimum Clearance Required
Secret
Responsibilities
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.

Qualifications
Technical 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.