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Data Engineer With Jobs in Nebraska (NOW HIRING)

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

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 ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE

$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 ...

Shive Hattery Group

Electrical Engineer

Lincoln, NE · On-site

Will be visiting project construction sites to assist with measuring, data collection and ... Graduated from an accredited engineering school in Electrical Engineering * Experience in Revit is ...

ABBTECH

Data Reliability Specialist

Omaha, NE · On-site

$125K/yr

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 ...

New

Shive Hattery Group

Electrical Engineer

Ralston, NE · On-site

Will be visiting project construction sites to assist with measuring, data collection and ... Graduated from an accredited engineering school in Electrical Engineering * Experience in Revit is ...

Agile Defense

ML Engineer

Omaha, NE

This role will support data science and engineering activities, partnering with product teams, data engineers, mission stakeholders, and technologists to unlock the value of structured and ...

Agile Defense

ML Engineer

Omaha, NE · On-site

This role will support data science and engineering activities, partnering with product teams, data engineers, mission stakeholders, and technologists to unlock the value of structured and ...

Mutual of Omaha

Sr Data Analytics Developer

Omaha, NE

$90K - $115K/yr

Sr Data Analytics Developer Apply now Job no: 504881 Work type: Full Time Regular Location: Remote ... You'll partner with stakeholders and customers to understand requirements and business processes ...

Agile Defense

Data Scientist

Omaha, NE · On-site

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

Agile Defense

Data Scientist

Omaha, NE · On-site

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

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Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Nebraska? For Data Engineer With jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Nebraska look for? The top searched job categories for Data Engineer With jobs in Nebraska are:
What cities in Nebraska are hiring for Data Engineer With jobs? Cities in Nebraska with the most Data Engineer With job openings:
Data Engineer With jobs near you
Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

Full-time

Posted 21 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

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