1

Big Data Engineer Intern Jobs in Arizona (NOW HIRING)

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills: Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java , Scala ...

New

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Sr.Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities (but not limited to): Implementation of various solutions arising out of the large data processing ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

* Developed scalable big data pipelines using Python, SQL, Kafka, and cloud technologies. * Built and optimized ETL/ELT workflows for high-volume transactional and enterprise data. * Designed data ...

New

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... engineering and systems integration. Our tightly integrated offerings are tailored to each clients ... data-intensive, distributed environments. 2. Should have worked on open source products and ...

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

Big Data Engineer II

Phoenix, AZ

$55.75 - $73.75/hr

Experience with Data Visualization tools like Tableau, SiSense, Looker * Expert on Distributed ecosystem * Hands-on experience with programming using Python/Scala * Expert on Hadoop and Spark ...

Big Data Engineer with GCP Responsibilities: • Build and maintain data pipelines on GCP. • Optimize SQL queries and data models in BigQuery. • Use Python for data processing and automation. • ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5 ... Big Data: PySpark * Spark, Python, GCP is must have * Strong experience with Spark , Data Frames

Big Data

Phoenix, AZ · On-site

$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 ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience ... Big Data: PySpark * Spark, Python, GCP is must have * Strong experience with Spark , Data Frames

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience ... Big Data: PySpark * Spark, Python, GCP is must have * Strong experience with Spark , Data Frames

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

At least 2 years of experience in Big Data technology stack HDFS (MapR distribution), Map Reduce using Java, PIG, Hive. Knowledge of data modeling in NOSQL HBase is required. Atleast 2 years of ...

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Data: PySpark * Spark, Python, Google Cloud Platform is must have * Strong experience with ... Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field ...

next page

Showing results 1-20

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:

Big Data Engineer

V-CENTRIX-US LLC

Phoenix, AZ • On-site

$55.25 - $73.25/hr

Other

Posted 2 days ago

New


Job description

Hello,

I hope you''re doing well.

I''m Abhay from Inceptra Solutions LLC. We have an exciting opportunity with AMEX for a Big Data Engineer.

Role: Big Data Engineer

Type: Long-Term Contract

Location: Phoenix, AZ (Onsite/Hybrid)

Top Skills: Hadoop, Spark (Batch/Streaming), Hive, Python, Google Cloud Platform, Shell Scripting, Java, Scala

Job Description

The Skills You''ll Need:

  • Proven experience with Hadoop, Spark (Batch/Streaming), and Hive.
  • Proficiency in Shell Scripting and programming languages such as Python, Java, and/or Scala.
  • Ability to design, develop, and deploy big data solutions in a high-performance environment.
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Strong communication skills to effectively collaborate with team members and stakeholders.
  • Proven experience with Google Cloud Platform services and tools for big data solutions.

Roles & Responsibilities

Your Adventure Includes:

  • Development: Design and develop scalable big data solutions using Hadoop, Spark, and Hive.
  • Design: Architect and implement big data pipelines and workflows, ensuring efficiency, security, and reliability.
  • Deployment: Deploy big data solutions, leveraging best practices for optimal performance in large-scale environments.
  • Optimization: Optimize big data solutions to improve performance, scalability, and cost-efficiency.
  • Collaboration: Work closely with cross-functional teams to integrate big data solutions with business goals.

Mandatory Skills

  • Hadoop
  • Python
  • Spark
  • Google Cloud Platform

If you''re interested, please share your updated resume along with your availability for a quick discussion.

Looking forward to hearing from you.

Thanks & Regards

Abhay Kumar Jain

Senior Technical Recruiter

INCEPTRA SOLUTIONS LLC

1101 Perimeter Drive, Schaumburg, IL 60173, USA

 

·       Phone Number: +1 ext. 115

·       Email: 

·       LinkedIn:

 

Confidentiality Notice: This email and any attachments may contain confidential and/or legally privileged information. If you are not the intended recipient, please notify the sender immediately and delete this message. Unauthorized review, use, disclosure, or distribution is prohibited.