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Computer Science Grad Jobs in Irvington, NJ (NOW HIRING)

Salary: $120-135K + equity Requirements - Computer science bachelor's degree - 2+ internship experiences in software development - Demonstrated interest in product or entrepreneurship Our Current ...

Bachelor's degree in a heavily quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or equivalent). * 7-10 years of post-grad experience in data product development ...

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Computer Science Grad information

What are the key skills and qualifications needed to thrive as a computer science grad, and why are they important?

To thrive as a Computer Science Graduate, you need a solid understanding of programming languages, algorithms, data structures, and fundamental computer science concepts, typically gained through a bachelor's degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and frameworks relevant to your specialization is often expected. Problem-solving, teamwork, and strong communication skills help you collaborate efficiently and adapt to evolving project requirements. These skills and qualities are crucial for building robust software solutions and succeeding in dynamic technology-driven workplaces.

What is a computer science grad?

Computer Science grads are individuals who have completed a degree program in computer science, typically at the undergraduate or graduate level. They possess knowledge and skills in areas such as programming, algorithms, data structures, software engineering, and computer systems. These graduates are equipped to pursue careers in various tech fields including software development, data analysis, cybersecurity, and more. Their education often includes both theoretical foundations and practical experience with modern technologies.

What are some common entry-level positions for recent computer science grads, and how do they typically collaborate within a team?

Recent computer science graduates often start in roles such as software engineer, QA analyst, IT support specialist, or junior web developer. In these positions, you'll usually work as part of a project team alongside more experienced engineers, designers, and sometimes product managers. Collaboration is key—you'll participate in code reviews, daily stand-up meetings, and pair programming sessions to learn best practices and contribute to shared goals. This team-oriented environment not only helps build technical skills but also offers mentorship opportunities and exposure to different aspects of software development.

What is the difference between Computer Science Grad vs Software Developer?

AspectComputer Science GradSoftware Developer
CredentialsDegree in Computer Science or related fieldOften requires a degree, but certifications and experience can suffice
Work EnvironmentAcademic settings, internships, entry-level rolesCorporate offices, tech companies, startups
Industry UsageEducational institutions, entry-level tech rolesProduct development, application building, coding tasks
Search & Comparison IntentEntry-level, educational background, career startPractical coding, project work, job opportunities

While a Computer Science Grad typically refers to someone with a degree in computer science, a Software Developer is a professional actively involved in coding and building software applications. Many Computer Science Grads pursue roles as Software Developers, but the latter emphasizes practical skills and work experience. Understanding this difference helps job seekers target the right roles and employers effectively.

What are popular job titles related to Computer Science Grad jobs in Irvington, NJ? For Computer Science Grad jobs in Irvington, NJ, the most frequently searched job titles are:
What job categories do people searching Computer Science Grad jobs in Irvington, NJ look for? The top searched job categories for Computer Science Grad jobs in Irvington, NJ are:
Infographic showing various Computer Science Grad job openings in Irvington, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Data Engineer, Product Analytics (University Grad)

Meta

New York, NY

$99K/yr

Full-time

Re-posted 26 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th 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 (University Grad) Responsibilities:
  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
  • Identify the data needed for a business problem and implement logging required to ensure availability of 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
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
  • Support existing processes running in production and implement optimized solutions with limited guidance
  • Define and manage Service Level Agreements for data sets in allocated areas of ownership

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Knowledge of SQL
  • Programming knowledge in Python
  • Knowledge of database systems
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Curious, self-driven, analytical and excited to play with data
  • Experience thriving in a fast-paced work environment
  • Experience in collaborating with individuals and organizations
  • 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.
$99,008/year to $139,000/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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