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Internship Data Optimization Jobs in Virginia (NOW HIRING)

Support the development, maintenance, and optimization of an Integrated Master Schedule (IMS) for ... Experience with data analysis, visualization, or low code development (academic, internship, or ...

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

Monitor solution performance, troubleshoot production issues, and support optimization efforts ... Experience gained through internships, academic projects, or coursework using Google Cloud Platform ...

The purpose of this internship is to teach candidates how to create usable information from ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

The purpose of this internship is to teach candidates how to create usable information from ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

... optimization * Maintain accurate data documentation, reports, and dashboards to ensure data ... Interns work closely with corporate and field teams on meaningful projects, gain insight into ...

... optimization * Maintain accurate data documentation, reports, and dashboards to ensure data ... Interns work closely with corporate and field teams on meaningful projects, gain insight into day ...

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Internship Data Optimization information

What are the key skills and qualifications needed to thrive as an Internship Data Optimization, and why are they important?

To thrive as an Internship Data Optimization professional, you need a solid understanding of data analysis, statistics, and basic programming skills, often supported by coursework or a degree in a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms is typically required. Strong attention to detail, problem-solving abilities, and effective communication are key soft skills that distinguish top candidates. These skills are essential for accurately analyzing data sets, identifying optimization opportunities, and clearly presenting actionable insights to stakeholders.

What is the difference between Internship Data Optimization vs Data Analyst?

AspectInternship Data OptimizationData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's or higher in related field, technical proficiency
Work EnvironmentInternship setting, entry-level tasks, mentorshipFull-time, project-based, collaborative teams
Employer & Industry UsageInternship programs in tech, finance, marketingAcross industries, including tech, finance, healthcare
Search & Comparison IntentEntry-level, internship opportunities, learning rolesData analysis roles, career advancement

Internship Data Optimization focuses on entry-level, temporary roles aimed at learning data enhancement techniques, while Data Analysts are full-time professionals responsible for analyzing and interpreting data to support business decisions. Both roles require technical skills, but the internship is more educational and less specialized.

What types of projects and tasks can I expect to work on during a Data Optimization internship?

As a Data Optimization intern, you will likely support projects involving data cleaning, analysis, and process improvement. Typical daily tasks may include preparing datasets, running statistical analyses, developing or optimizing algorithms, and visualizing results to help teams make data-driven decisions. You may also collaborate with data scientists and engineers to identify inefficiencies in data pipelines and propose solutions. This role offers valuable exposure to real-world business challenges, and interns often gain hands-on experience with popular data tools and programming languages, laying a solid foundation for future roles in data analytics or engineering.

What is an Internship in Data Optimization?

An Internship in Data Optimization is a temporary position for students or recent graduates to gain practical experience in improving the efficiency and effectiveness of data processes within an organization. Interns typically work with data analysts and engineers to clean, organize, and analyze data, as well as implement optimization techniques to enhance data quality and performance. This role offers hands-on exposure to tools and technologies related to data management and analytics, making it an excellent opportunity to build foundational skills for a career in data science or analytics.
What are the most commonly searched types of Data Optimization jobs in Virginia? The most popular types of Data Optimization jobs in Virginia are:
What are popular job titles related to Internship Data Optimization jobs in Virginia? For Internship Data Optimization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Data Optimization jobs in Virginia look for? The top searched job categories for Internship Data Optimization jobs in Virginia are:
Software Development Engineer II, Amazon Security Data Engineering

Software Development Engineer II, Amazon Security Data Engineering

Amazon

Herndon, VA

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,874 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

If you thrive in a fast-paced, innovative environment and are interested in pushing the boundaries of what's possible with big data, cloud computing, and security analytics, Amazon Security Platform Engineering is the place for you. We support a suite of services and products to ingest, optimize and query petabyte scale datasets efficiently, and enable critical security use cases such as incident response, security analytics, threat-hunting, and low-latency detection.
Successful candidates for this position will possess:
Strong software engineering fundamentals, including expertise in object-oriented design, algorithms, and data structures
Experience building and operating scalable, fault-tolerant, distributed systems
Proficiency in Java, Scala or Python with a solid understanding of multi-threading and memory management
Knowledge of big data compute engines such as open table formats like Apache Iceberg, and Apache Spark, Trino, Flink.
Excellent verbal and written communication skills
Self-motivation and the ability to deliver high-quality results in a fast-paced environment.
Key job responsibilities
Build and support Amazon Security's Data Lake, consisting of services for data cataloging, optimization, compaction, re-organization, and indexing at petabyte scale.
Drive technical vision and contribute to the roadmap for systems that manage petabyte-scale data catalogs supporting Apache Iceberg, AWS Glue, Parquet, and other formats.
Design and implement distributed systems for data optimization that balance multiple latency scenarios from minute-level batch detections to month-spanning threat hunting queries.
Modernize security intelligence platform's data catalog and governance services to provide customers with rule-based access controls and fine-grained data access.
Build and support query platform services for query scheduling, routing, auditing, and engine built on Apache Spark.
Optimize data ingestion and cataloging systems that handle petabytes of data.
Partner with data engineers and security teams across AWS, Amazon Stores, Digital, and other business units to understand requirements and deliver platform capabilities.
Uphold software engineering best practices, code quality standards, and operational excellence.
Explore and build AI driven data discovery capabilities using catalog metadata to help security analysts find relevant datasets faster.
Work with AI/ML powered developer tools across the full SDLC, from AI assisted code reviews and design to agentic operational response
About the team
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
* Diverse Experiences: Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
* Inclusive Team Culture: In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
* Training & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
* Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 3+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US