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Internship Data Pipeline Engineer Jobs in Reno, NV

Data Engineer II

Reno, NV · On-site

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and ...

Data Engineer II

Reno, NV · On-site

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and ...

Data Engineer

Truckee, CA · Remote

$100K - $200K/yr

In this role, you will own and evolve the pipelines and systems that transform diverse raw data ... You will work across the engineering organization, partnering with scientists, analysts, and ...

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Science Tutor

Reno, NV · Remote

$18 - $40/hr

... or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while ...

Design and deploy production-grade data pipelines integrating equipment, MES, historians, quality ... Engineering degree in Computer Science * AWS, Azure, Palantir, AI certification/s * Prior ...

As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science ... engineering and platform teams to build scalable, production‑grade pipelines and services, and ...

You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This ...

Software Engineer, Backend

Reno, NV · On-site

$155K - $222K/yr

You will work with many different people within Engineering and throughout Cisco to help build the infrastructure and data pipelines to power their data-driven decisions. In this role you can expect ...

Transportation Internship

Reno, NV

$17.50 - $22.75/hr

Collaborating closely with our traffic engineers, you'll help develop and implement roadway ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

Transportation Internship

Reno, NV · On-site

$17.50 - $22.75/hr

Collaborating closely with our traffic engineers, you'll help develop and implement roadway ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

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Internship Data Pipeline Engineer information

See Reno, NV salary details

$13

$25

$38

How much do internship data pipeline engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for internship data pipeline engineer in Reno, NV is $25.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $28.75 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Pipeline Engineer vs Data Engineer?

AspectInternship Data Pipeline EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of relevant degree programs, basic understanding of data pipelinesBachelor's or higher in Computer Science, Data Science, or related fields; experience with data tools
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for designing and maintaining data infrastructure
Employer & Industry UsageInternship positions in tech, finance, healthcare, and other industriesFull-time roles across various industries requiring data management expertise

The main difference between an Internship Data Pipeline Engineer and a Data Engineer lies in experience level and responsibilities. Internships are entry-level, focused on learning and supporting data pipeline tasks, while Data Engineers are experienced professionals responsible for building and maintaining complex data systems.

Infographic showing various Internship Data Pipeline Engineer job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,712 per year, or $25.3 per hour.

Data Engineer II

Progressive Gaming

Reno, NV • On-site

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

IGT, where innovation meets entertainment on a global scale!  From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.

 

Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.

About the Role

We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.


You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.

What You'll Do
  • Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python. 
  • Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases. 
  • Develop data transformations using Delta Lake and Lakehouse architecture best practices. 
  • Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources. 
  • Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions. 
  • Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance. 
  • Participate in migrating and modernizing legacy data processes to cloud-native architectures. 
  • Improve data quality through validation, testing, monitoring, and automation. 
  • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. 
  • Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 
  • 3+ years of experience in Data Engineering or a related technical role. 
  • Strong SQL development skills. 
  • Strong Python programming experience. 
  • Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms). 
  • Experience developing modern ETL/ELT pipelines. 
  • Understanding of data modeling and data warehousing concepts. 
  • Experience working with cloud-based data platforms, preferably AWS. 
  • Familiarity with Delta Lake or similar modern data storage technologies. 
  • Experience using Git and collaborative software development practices. 
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
  • Experience working with Databricks on AWS.
  • Experience with Delta Lake and Medallion/Lakehouse architecture.
  • Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms. 
  • Experience consuming and developing REST APIs. 
  • Experience working with semi-structured data, including JSON and Excel-based data ingestion. 
  • Familiarity with CI/CD practices for data engineering. 
  • Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. 
  • Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment

You'll work with technologies including: 

  • Databricks (AWS) 
  • Apache Spark 
  • Delta Lake 
  • Python 
  • SQL 
  • Amazon S3 
  • Git 
  • REST APIs 
  • CI/CD pipelines
What Makes You Successful
  • You enjoy solving complex technical problems and continuously improving existing solutions. 
  • You can work independently while collaborating effectively with cross-functional teams. 
  • You write clean, maintainable, and well-tested code. 
  • You take ownership of your work from development through production support. 
  • You have a growth mindset and enjoy learning new technologies. 
  • You communicate technical concepts clearly with both technical and non-technical audiences.

#LI-CK1

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted. 

At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable. 
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements. 

IGT is the global leader in gaming. For more information, please visit www.igt.com.