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Internship Meta Data Science Jobs in New York (NOW HIRING)

Expect to be constantly learning, working shoulder-to-shoulder with engineering, data science, and ML, including our partners across ATA and Meta Superintelligence Labs (MSL), to turn signal from ...

Meta Reality Labs is seeking a Consumer Product Marketing Manager to drive product market fit and ... You will partner closely with product, engineering, data science, and go-to-market teams to define ...

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ...

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop ...

Document data processes, data lineage, and meta data to ensure transparency and facilitate ... Bachelor's degree in computer science, Data Science, or data engineering * 3-5 years of experience ...

Individuals will be handling multiple activities in a team supporting diverse NA Scientific data ... meta-data, data lineage, data cleansing services *Activities: data modeling, data audit, detailed ...

Showing results 41-60

Internship Meta Data Science information

Which company is best for an internship in data science?

The best company for a data science internship depends on your career goals and interests. Leading tech firms like Google, Facebook, and Microsoft offer competitive internships with exposure to real-world projects and advanced tools like Python and SQL. Internships at these companies often provide valuable mentorship, skill development, and networking opportunities for aspiring data scientists.

What are the most commonly searched types of Meta Data Science jobs in New York?

The most popular types of Meta Data Science jobs in New York are:

What job categories do people searching Internship Meta Data Science jobs in New York look for?

The top searched job categories for Internship Meta Data Science jobs in New York are:

Infographic showing various Internship Meta Data Science job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Data Engineer, Analytics (Technical Leadership)

Meta

New York, NY • On-site

$210K/yr

Full-time

Re-posted 29 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us!
Data Engineer, Analytics (Technical Leadership) Responsibilities:
  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
  • 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
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define and manage SLA 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 use cases across different products or domains
  • Solve our most challenging data integrations problems, utilizing optimal 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
  • 10+ years experience in the data warehouse space
  • 10+ years experience in custom ETL design, implementation and maintenance
  • 10+ years experience with object-oriented programming languages
  • 10+ years experience with schema design and dimensional data modeling
  • 10+ years experience in authoring SQL statements
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients

Preferred Qualifications:
  • BS/BA in Technical Field, Computer Science or Mathematics
  • Experience working with either a MapReduce or an MPP system
  • Knowledge and practical application of Python
  • Experience working autonomously in global teams
  • Experience influencing product decisions with data
  • 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.
$210,000/year to $281,000/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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