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Data Engineer Data Jobs in Nebraska (NOW HIRING)

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

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 ...

Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R). * Experience using modern visualization tool (e.g. PowerBI, Tableau). * Knowledge of advanced analytics ...

Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R). * Experience using modern visualization tool (e.g. PowerBI, Tableau). * Knowledge of advanced analytics ...

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 ...

... ML engineers to transition research models into production systems • Establish statistical rigor and experimental design standards across the organization • Build analytical tools and ...

... ML engineers to transition research models into production systems • Establish statistical rigor and experimental design standards across the organization • Build analytical tools and ...

You'll work closely with business leaders, product teams, and engineering to identify opportunities ... Drive Data-Driven Discovery Conduct deep-dive analyses to understand customer behavior, market ...

You'll work closely with business leaders, product teams, and engineering to identify opportunities ... Drive Data-Driven Discovery • Conduct deep-dive analyses to understand customer behavior, market ...

In this role, the Data Reliability Specialist will work with a cross-functional team, including Cyber Security Engineers and Analysts, as well as government Cyber POCs to ensure compliance to federal ...

Senior Data Analyst

Wayne, NE · On-site

$79K - $99K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

Senior Data Analyst

Hastings, NE

$83K - $105K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Nebraska? For Data Engineer Data jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Data Engineer Data jobs? Cities in Nebraska with the most Data Engineer Data job openings:
Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

$90K - $125K/yr

Full-time

Posted 19 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.