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Data Science New Grad Jobs in Nevada (NOW HIRING)

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

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Showing results 1-20

Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

Sr Data Engineer

Fusion HCR

Las Vegas, NV • On-site

$97K - $131K/yr

Other

Posted 21 days ago


Job description

Senior Data Engineer
Location: Las Vegas, NV
Work Arrangement: 100% Onsite - 5 days per week (Required)
Employment Type: Direct Hire
Industry: Property Management / Real Estate Technology
Client: Fusion client - large, national property management organization
Position Summary
A Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building, scaling, and optimizing a modern Databricks-first data platform. This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment.
The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data sources into the data warehouse, building real-time and batch data pipelines, and significantly improving pipeline performance and reliability. This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases.
Critical Skill Priorities (In Order of Importance)
  • Hands-on Databricks experience (Required)
  • Strong Python scripting and SQL (daily, hands-on use)
  • Apache Spark for cloud data loading and transformation
  • Large-scale data initiatives (new source ingestion, platform expansion)
  • Real-time and streaming data pipelines
  • Pipeline performance tuning and optimization

Key Responsibilities
  • Design, build, and maintain real-time and batch data pipelines using Databricks and Spark
  • Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading
  • Lead large data initiatives such as:
  • Bringing new internal and external data sources into the data warehouse
  • Supporting streaming and near-real-time data use cases
  • Improving pipeline speed, scalability, and reliability
  • Design and evolve data architecture supporting analytics, BI, and future AI/ML initiatives
  • Collaborate with cross-functional teams to translate business requirements into scalable data solutions
  • Monitor pipeline health, troubleshoot data issues, and improve system performance
  • Participate in code reviews and promote best practices around testing, CI/CD, and maintainable data pipelines
  • Contribute to the design and development of data products and data services consumed across the organization

Required Qualifications
  • Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field
  • Candidates with fewer years of experience may be considered only if degree requirements are met
  • 5+ years of hands-on experience as a Data Engineer
  • Strong, hands-on experience with Databricks and Apache Spark
  • Strong proficiency in Python scripting for data processing and pipeline development
  • Advanced SQL skills for analytics, transformations, and troubleshooting
  • Experience building and supporting cloud-based data pipelines
  • Experience working with large-scale data platforms and warehouses
  • Strong troubleshooting and problem-solving skills

Preferred / Nice-to-Have Qualifications
  • Experience with Snowflake (may be considered in place of some Databricks experience)
  • Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)
  • Experience optimizing and tuning data pipelines for performance and scalability
  • Experience with CI/CD practices in data engineering environments
  • Familiarity with BI tools such as Power BI or Tableau
  • Experience working in Agile development environments