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Virtual Data Analytics Extern Jobs in Commack, NY

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Data Scientist, Product Analytics

New York, NY

$147K/yr

You will use data and analysis to identify and solve product development's biggest challenges. You ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Data Scientist, Product Analytics

New York, NY

$177K/yr

You will use data and analysis to identify and solve product development's biggest challenges. You ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Camber

Senior Data Analyst

New York, NY · On-site

$160K - $180K/yr

... and scalable analytics practices. What we're looking for: * 5+ years of experience in a data ... Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.

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How much do virtual data analytics extern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for virtual data analytics extern in Commack, NY is $60.80, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $70.67 per hour, depending on experience, location, and employer.

What is the difference between Virtual Data Analytics Extern vs Data Analyst?

AspectVirtual Data Analytics ExternData Analyst
CredentialsTypically pursuing or holding relevant certifications or degrees in data analytics, statistics, or related fieldsUsually requires a bachelor's degree in data science, statistics, or related disciplines
Work EnvironmentRemote, often part-time or internship-based, with flexible hoursCan be remote or on-site, full-time or part-time depending on the employer
Industry UsageCommon in educational, internship, or training programs within data analytics fieldsWidely used across industries like finance, healthcare, marketing, and technology

The Virtual Data Analytics Extern role is typically an internship or training position aimed at gaining practical experience remotely, often for students or early-career professionals. In contrast, Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting business decisions. While both roles require knowledge of data tools and analytics, the extern position is more focused on learning and development, whereas the analyst role involves ongoing operational responsibilities.

What job categories do people searching Virtual Data Analytics Extern jobs in Commack, NY look for? The top searched job categories for Virtual Data Analytics Extern jobs in Commack, NY are:
What cities near Commack, NY are hiring for Virtual Data Analytics Extern jobs? Cities near Commack, NY with the most Virtual Data Analytics Extern job openings:
Virtual Data Analytics Extern jobs near you

Data Engineer, Product Analytics

Meta

New York, NY • On-site, Remote

$147K/yr

Full-time

Re-posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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