Forbes Advisor Data Engineer – L1 Jobs 2026 | Remote | Full-Time

Forbes Advisor is hiring a Data Engineer – L1 for a full-time, remote role based in India. This opportunity is ideal for early-career data engineers who want to work on scalable data products, cloud-native pipelines, and analytics platforms within a globally recognized brand.

Forbes Advisor operates under the Forbes Marketplace umbrella and focuses on delivering expert-driven insights in personal finance, health, business, and lifestyle decisions through data-backed research and analytics.

Quick Job Overview

Table 1: Job Details

Table 2: Education & Eligibility

Role Overview – Data Engineer (L1) at Forbes Advisor

As a Data Engineer – L1, you will help build and maintain core data products that support analytics, reporting, and business decision-making. You will work closely with Product, Data, and Design teams to enable a data-driven culture, self-service analytics, and a reliable single source of truth across business metrics.

This role offers a startup-like environment with the stability and scale of a well-established global brand.

Key Responsibilities

• Assemble large, complex datasets to meet business and technical requirements
• Design and implement scalable ETL / ELT data pipelines
• Automate manual data workflows and optimize data delivery processes
• Build and manage pipelines using GCP services
• Orchestrate workflows using Apache Airflow
• Collaborate with cross-functional teams to solve data-related issues
• Handle and integrate data from third-party providers such as Google Analytics and Google Ads
• Ensure data quality, privacy, and security best practices

Required Skills & Experience

Technical Skills

• Strong experience in Python
• Hands-on knowledge of Spark, Beam, or similar frameworks
• Experience with Google Cloud Platform (GCS, BigQuery, Composer)
• Airflow for pipeline orchestration
• Understanding of data privacy, security, and governance

Preferred Skills

• Experience with dbt and data quality tools
• Exposure to large-scale, distributed datasets
• Familiarity with software engineering best practices in data engineering

Professional Skills

• Excellent verbal and written communication
• Ability to work in globally distributed teams
• Strong analytical and problem-solving mindset

Perks & Benefits

• Monthly long weekends (every third Friday off)
• Wellness reimbursement for health and work-life balance
• Paid parental leave
• Remote-first culture with flexibility and trust
• Opportunity to work with a world-class data and marketing team

FAQs – Data Engineer (L1) at Forbes Advisor

1. Is this a fully remote job?
Yes. This is a remote-first, work-from-home role.

2. What experience level is required?
Candidates should have at least 1.5 years of experience in data engineering.

3. Which cloud platform is used in this role?
The role primarily uses Google Cloud Platform (GCP).

4. Is Airflow mandatory?
Yes. Experience writing and managing pipelines in Apache Airflow is required.

5. What programming language is essential?
Strong proficiency in Python is mandatory.

6. Is this role suitable for freshers?
No. This role is intended for early-career professionals, not absolute freshers.

7. Will I work with marketing or analytics data?
Yes. Experience with Google Analytics, Google Ads, or similar data sources is a plus.

8. What kind of teams will I work with?
You will collaborate with Product, Data, and Design teams.

9. Are data quality tools used?
Yes. Tools like dbt and Great Expectations are used or preferred.

10. What growth opportunities are available?
You can progress into Senior Data Engineer, Analytics Engineer, or Platform Engineer roles based on performance.

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