Forbes Advisor

Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life.

We do this by combining data-driven content, rigorous product comparisons, and user-first design all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics.

The Role

We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics,performance marketing, and experimentation platforms.

This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics.

You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business.

What you’ll do

● Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python

● Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems

● Model data using dbt, with an emphasis on quality, reuse, and documentation

● Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta,Taboola, Outbrain, and Google Analytics

● Write high-performance SQL and support analytics and reporting teams in self-serve data access

● Monitor and improve data quality, lineage, and governance across critical workflows

● Collaborate with engineers, analysts, and business partners across the US, UK, and India

What You Bring

● 4+ years of data engineering experience, ideally in a global, distributed team

● Strong Python development skills and experience

● Expert in SQL for data transformation, analysis, and debugging

● Deep knowledge of Airflow and orchestration best practices

● Proficient in DBT (data modeling, testing, release workflows)

● Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus

● Strong grasp of data governance, observability, and privacy standards

● Excellent written and verbal communication skills

Nice to have

● Experience working with digital marketing and performance data, including:

Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4)

● Familiarity with BI tools like Tableau or Looker

● Exposure to attribution models, media mix modeling, or A/B testing infrastructure

● Collaboration experience with data scientists or machine learning workflows

Why Join Us

● Monthly long weekends — every third Friday off

● Wellness reimbursement to support your health and balance

● Paid parental leave

● Remote-first with flexibility and trust

● Work with a world-class data and marketing team inside a globally recognized brand

We are seeking a highly skilled Staff / Senior Staff Full Stack Engineer (Architect) to join our product engineering team. This is a hands-on, high-impact technical leadership role requiring deep expertise across frontend (React), backend (Node.js), cloud infrastructure, and databases.

You will work closely with Engineering, Product, UX, and cross-functional stakeholders to design and deliver scalable, secure, and high-performance systems, while driving engineering best practices and mentoring senior engineers.

Key Responsibilities:

Architecture & Technical Ownership

• Architect and design complex, scalable full-stack systems across multiple services and teams
• Translate business and product requirements into robust technical solutions
• Drive system design, scalability, performance, and security decisions

Hands-On Development

• Write clean, maintainable, production-grade code in:
• React + TypeScript (frontend)
• Node.js + TypeScript (backend)
• Build and maintain REST & GraphQL APIs
• Develop reusable frontend and backend components

Scalability, Performance & Security

• Optimize applications for speed, scalability, reliability, and cost
• Implement security best practices, authentication/authorization, and data protection
• Ensure compliance with security and regulatory standards (OWASP, GDPR, CCPA, etc.)

Collaboration & Leadership

• Partner closely with Product, UX, QA, DevOps, and Marketing
• Lead architecture discussions, design reviews, and code reviews
• Mentor senior engineers and lead by influence (not hierarchy)
• Promote engineering excellence through TDD, CI/CD, observability, and automation

Documentation & Communication

• Clearly document architecture, system flows, and design decisions
• Communicate complex technical concepts to non-technical stakeholders
• Contribute to long-term technology strategy and roadmap

Required Experience & Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related field
• 10+ years of overall software engineering experience
• 7+ years of hands-on full-stack development experience
• Proven delivery of large-scale, complex systems

Core Technical Skills

Frontend

• Expert in React (architecture, performance, state management)
• Strong TypeScript
• Deep knowledge of HTML5, CSS3, responsive & adaptive design
• Experience with Redux / Context API, CSS-in-JS or Tailwind
• Familiarity with build tools: Webpack, Babel, npm/yarn
• Frontend testing: Jest, Vitest, Cypress, Storybook

Backend

• Strong hands-on experience with Node.js
• Frameworks: Express, NestJS, Koa
• API design: REST & GraphQL
• Serverless experience (AWS Lambda / Cloud Functions)

Databases & Caching

• SQL: PostgreSQL / MySQL
• NoSQL: MongoDB, Redis
• Database schema design, indexing, and performance tuning
• Caching & search: Redis, Elasticsearch

Cloud, Infra & DevOps

• Strong experience with AWS / GCP / Azure
• Containers: Docker, Kubernetes
• CI/CD: GitHub Actions, GitLab CI, Jenkins
• CDN, infrastructure scaling, and observability
• Git expertise (GitHub / GitLab / Bitbucket)

Security & Systems

• Web security best practices (OWASP)
• Authentication & authorization (OAuth, JWT)
• Experience with high-availability, fault-tolerant systems

Leadership & Ways of Working

• Strong track record of technical leadership and delivery
• Experience mentoring senior and staff-level engineers
• Ability to conduct high-quality code and design reviews
• Comfortable working in Agile (Scrum/Kanban) environments
• Excellent verbal and written communication
• Strong analytical and problem-solving skills
• Ability to learn and adapt quickly to new technologies

Perks & Benefits

• Day off on the 3rd Friday of every month (monthly long weekend)
• Monthly Wellness Reimbursement Program
• Monthly Office Commutation Reimbursement
• Paid paternity & maternity leave

About Forbes Advisor

Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life.

We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our global teams bring deep expertise across journalism, product, performance marketing, data, and analytics.

The Role

We’re hiring a Data Scientist to help us unlock growth through advanced analytics and machine learning. This role sits at the intersection of marketing performance, product optimization, and decision science.

You’ll partner closely with Paid Media, Product, and Engineering to build models, generate insight, and influence how we acquire, retain, and monetize users. From campaign ROI to user segmentation and funnel optimization, your work will directly shape how we grow.This role is ideal for someone who thrives on business impact, communicates clearly, and wants to build re-usable, production-ready insights — not just run one-off analyses.

What You’ll Do

Marketing & Revenue Modelling

• Own end-to-end modelling of LTV, user segmentation, retention, and marketing

efficiency to inform media optimization and value attribution.

• Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-

value cohorts, and power strategic bidding and targeting.

Product & Growth Analytics

• Work closely with Product Insights and General Managers (GMs) to define core metrics, KPIs, and success frameworks for new launches and features.

• Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights.

• Monitor and explain changes in key product metrics, identifying root causes and business impact.

• Work closely with Data Engineering to design and maintain scalable data pipelines that

support machine learning workflows, model retraining, and real-time inference.

Predictive Modelling & Machine Learning

• Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches.

• Identify opportunities for prescriptive analytics and automation in key product and marketing workflows.

• Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning.

Collaboration & Communication

• Present insights and recommendations to a variety of stakeholders — from ICs to executives — in a clear and compelling manner.

• Translate business needs into data problems, and complex findings into strategic action plans.

• Work cross-functionally with Engineering, Product, BI, and Marketing to deliver and deploy your work.

What You’ll Bring

Minimum Qualifications

• Bachelor’s degree in a quantitative field (Mathematics, Statistics, CS, Engineering, etc.).

• 4+ years in data science, growth analytics, or decision science roles.

• Strong SQL and Python skills (Pandas, Scikit-learn, NumPy).

• Hands-on experience with Tableau, Looker, or similar BI tools.

• Familiarity with LTV modelling, retention curves, cohort analysis, and media attribution.

• Experience with GA4, Google Ads, Meta, or other performance marketing platforms.

• Clear communication skills and a track record of turning data into decisions.

Nice to Have

• Experience with BigQuery and Google Cloud Platform (or equivalent).

• Familiarity with affiliate or lead-gen business models.

• Exposure to NLP, LLMs, embeddings, or agent-based analytics.

• Ability to contribute to model deployment workflows (e.g., using Vertex AI, Airflow, or Composer).

Why Join Us?

• Remote-first and flexible — work from anywhere in India with global exposure.

• Monthly long weekends (every third Friday off).

• Generous wellness stipends and parental leave.

• A collaborative team where your voice is heard and your work drives real impact.

• Opportunity to help shape the future of data science at one of the world’s most trusted

brands.