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Big Data Engineer Intern Jobs in Arizona (NOW HIRING)

Data Engineer : F2F @ Phoenix, AZ

Phoenix, AZ · On-site

$113K - $136K/yr

Role - Google Cloud Platform Data Engineer Skills: * Years of experience : 5-7 years * Google Cloud ... Big Data: PySpark * Spark, Python, Google Cloud Platform is must have * Strong experience with ...

Big Data Developer (GCP) - Need Locals

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Big Data Developer (GCP) Location: Phoenix, AZ (Only Local Candidates) Experience: 5-7 Years Work Mode: Onsite Must Have Skills: Design, build, and maintain Big Data pipelines using GCP services.

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Java, C++, JavaScript • Experience with big data preprocessing and transformation tools ... Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub ...

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

... Engineer with a solid experience of building Bigdata, Google Cloud Platform Cloud based ETL ... Hands-on software development experience with Big Data & Analytics solutions like Google Cloud ...

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala, Kafka, SPARK, Oozie, Java and shell scripting etc.) Job Location : Phoenix, Arizona (Phoenix is ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

... programming/scripting experience skills - preferably Python, Perl, Javascript, UNIX shell Should ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Bigdata Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

The role involves architecting and designing scalable big data solutions while collaborating with ... engineers, analysts, and business stakeholders, to gather and define data requirements. • ...

... programming/scripting experience skills - preferably Python, Perl, Javascript, UNIX shell Should ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Big Data with Financial Services

Phoenix, AZ

$52.50 - $68.25/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

... programming/scripting experience skills - preferably Python, Perl, Javascript, UNIX shell Should ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... Understanding of distributed systems and big data architecture. * Knowledge of streaming frameworks ...

RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role ... AWS Certified Data Analytics, AWS Certified Solutions Architect) • Experience with big data ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves ... AWS Certified Data Analytics, AWS Certified Solutions Architect) • Experience with big data ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). Experience with CICD pipelines, Automated test frameworks, DevOps and source code management ...

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Showing results 21-40

Big Data Engineer Intern information

What does a Big Data Engineer Intern do?

A Big Data Engineer Intern assists with designing, building, and maintaining large-scale data processing systems. They often work with technologies such as Hadoop, Spark, and SQL to manage and analyze large datasets. Interns may help develop data pipelines, clean and organize data, and support senior engineers in optimizing data workflows. This role provides hands-on experience in handling big data tools and working on real-world data engineering projects.

What are the key skills and qualifications needed to thrive as a Big Data Engineer Intern?

To thrive as a Big Data Engineer Intern, you need a solid understanding of programming (especially Python, Java, or Scala), data structures, and basic knowledge of distributed computing concepts, typically supported by coursework or relevant projects. Familiarity with big data tools like Hadoop, Spark, and data querying languages such as SQL, as well as exposure to cloud platforms like AWS or Azure, is highly valuable. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for handling large-scale datasets and supporting the development of data-driven solutions within engineering teams.

What are some common challenges a Big Data Engineer Intern might face when working with large datasets?

As a Big Data Engineer Intern, you'll often encounter challenges related to managing the scale and complexity of massive datasets. These can include optimizing data ingestion pipelines for speed and efficiency, troubleshooting data quality issues, and ensuring data privacy and security. Additionally, you may need to quickly learn new tools or frameworks, such as Hadoop or Spark, and collaborate closely with data scientists and engineers to ensure data is structured and accessible for analysis. Developing problem-solving skills and being proactive in seeking help from your team can help you overcome these hurdles.

What is the difference between Big Data Engineer Intern vs Data Engineer?

AspectBig Data Engineer InternData Engineer
CredentialsRelevant coursework, some internshipsBachelor's or master's in CS, experience preferred
Work EnvironmentInternship, learning-focused, entry-level projectsFull-time, professional projects, team collaboration
Industry UsageTech, finance, healthcare, startupsSame industries, more responsibility
Search & Comparison IntentEntry-level, internship opportunitiesCareer advancement, full-time roles

The main difference between a Big Data Engineer Intern and a Data Engineer is experience level and responsibility. Interns are typically students or early learners gaining exposure, while Data Engineers are full-time professionals managing complex data systems. Internships serve as stepping stones toward full-time data engineering careers.

What cities in Arizona are hiring for Big Data Engineer Intern jobs?

Cities in Arizona with the most Big Data Engineer Intern job openings:

Data Engineer : F2F @ Phoenix, AZ

NucleusTeq Inc

Phoenix, AZ • On-site

$113K - $136K/yr

Other

Posted 7 days ago


Job description

Company Description

NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.  

Role – Google Cloud Platform Data Engineer

Skills:

  • Years of experience :  5-7 years
  • Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow
  • Big Data: PySpark
  • Spark, Python, Google Cloud Platform is must have
  • Strong experience with Spark , Data Frames
  • Big Query background with data processing for large volumes  
  • Another NO Sql DB is big plus - Spanner DB & Graph DB

Qualifications:

  • Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience)
  • 6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven.
  • knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.
  • Experience in Google Cloud Platform.  
  • Experience in SQL.
  • Large scale data engineering and business intelligence delivery experience
  • Design of large-scale enterprise level big data platforms
  • Experience working with and performing analysis using large data sets
  • Proven and Demonstrated experience working with or on a mature, self-organized agile team

Nucleusteq logo

About Nucleusteq

Sourced by ZipRecruiter

NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc. We are enabling several fortune 1000 clients in the USA, Canada, UK & India to navigate their digital transformation. Our mission is to empower & transform customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP. We are committed to enriching our colleagues and communities equally.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2018

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