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Big Data Engineer Intern Jobs (NOW HIRING)

Big Data Engineer

Tysons, VA ยท On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

Reston, VA ยท On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

Senior Big Data Engineer

Rockville, MD ยท On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Big Data Engineer

Annapolis Junction, MD ยท On-site

$57 - $75.25/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. The role involves designing, developing, and maintaining data pipelines, ensuring efficient data ...

Big Data Engineer

Creve Coeur, MO ยท On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

Big Data Engineer

Pittsburgh, PA ยท On-site

$54 - $71.50/hr

Big Data Engineer Location: Pittsburgh, PA Mode: Permanent We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of large sets of data. The ...

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling Meadows, IL Requirements Primary / Essential Skills : SPARK with Scala or Python Secondary ...

Big Data Engineer

Rockville, MD ยท On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Big Data Engineer

San Antonio, TX ยท On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In this role, you will design, develop, and maintain data pipelines to support business intelligence and ...

Big Data Engineer

Pittsburgh, PA ยท On-site

$54 - $71.50/hr

Big Data Engineer Summary We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in ...

Big Data Engineer

Aurora, CO ยท On-site

$56.50 - $74.75/hr

They are seeking a skilled and motivated Big Data Engineer to design, develop, and maintain data pipelines, optimize data storage solutions, and support business intelligence and analytics needs.

Big Data Engineer

Tampa, FL ยท On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

Big Data Engineer

Rockville, MD ยท On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Big Data Engineer

Malvern, PA ยท On-site

$54.75 - $72.25/hr

Big Data Engineer Location : Malvern, PA Hybrid Duration : Initial 12 months + options to extend - Long term contract role Responsibilities * Collaborate on the Smartstream cash reconciliation ...

Big Data Engineer

$57 - $75.50/hr

Maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments. * Responsible for delivery of assigned projects, this may include providing ...

Big Data Engineer

Phoenix, AZ ยท On-site

$55.25 - $73.25/hr

Big Data Engineer Location: Phoenix, AZ Hire Type: Full Time Only - Implementation of various solutions arising out of the large data processing (GB's/ PB's) over various NoSQL, Hadoop, and MPP-based ...

Big Data Engineer

Renton, WA ยท On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Showing results 21-40

Big Data Engineer Intern information

See salary details

$13

$25

$38

How much do big data engineer intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for big data engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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 are hiring for Big Data Engineer Intern jobs?

Cities with the most Big Data Engineer Intern job openings:

What are the most commonly searched types of Big Data Engineer jobs?

The most popular types of Big Data Engineer jobs are:

What states have the most Big Data Engineer Intern jobs?

States with the most job openings for Big Data Engineer Intern jobs include:

Big Data Engineer

Cymertek

Tysons, VA โ€ข On-site

$56 - $74/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Big Data Engineer
LOCATION
Tysons, VA 22182
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are looking for a skilled and motivated Big Data Engineer to join our team and help build scalable, high-performance data systems. In this role, you will design, develop, and maintain data pipelines, ensure efficient data processing, and optimize data storage solutions to support business intelligence and analytics needs. You will work closely with cross-functional teams to handle large-scale datasets, implement best practices in data architecture, and explore innovative technologies in the big data ecosystem. The ideal candidate has a deep understanding of distributed systems, data processing frameworks, and a passion for leveraging data to drive impactful insights. If you are eager to work in a fast-paced, data-driven environment, we want to hear from you.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Data Architect, Hadoop Developer, Spark Engineer, ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied Physics, etc.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Experience with designing scalable data pipelines
  • Proficiency in managing big data tools
  • Strong understanding of distributed systems
  • Expertise in data storage optimization
  • Familiarity with data governance practices
  • Ability to ensure data pipeline reliability

REQUIRED SKILLS
  • Proficiency in programming (e.g., Java, Python)
  • Expertise in data processing frameworks (e.g., Spark)
  • Skill in working with data storage systems (e.g., HDFS)
  • Familiarity with data query tools (e.g., SQL)
  • Ability to handle structured and unstructured data
  • Proficiency in data workflow orchestration tools

DESIRED SKILLS
  • Knowledge of real-time data processing
  • Experience with stream processing frameworks
  • Familiarity with NoSQL databases
  • Expertise in cloud-based big data solutions
  • Understanding of data visualization techniques
  • Knowledge of emerging big data technologies

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.