Data Engineer - L2

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most.

We are looking for a Data Engineer (L2) with solid experience in Python and data ingestion pipelines, and exposure to digital marketing data, particularly the Meta Ads ecosystem.

In this role, you will contribute to building and maintaining data pipelines that power marketing analytics, campaign reporting, and lead analysis. You will work closely with senior engineers and business teams to support data needs across performance marketing and growth. This role does not involve campaign execution (buying/bidding), but requires a working understanding of ad platforms, marketing metrics, and lead funnels.

Responsibilities

Data Engineering & Pipelines

Build and maintain data ingestion pipelines from APIs and other data sources

Write efficient Python and SQL for data transformation and processing

Support ETL/ELT workflows, microservices and ensure timely data availability

Troubleshoot pipeline failures and assist in performance improvements

Marketing Data Support

Assist in ingestion and modeling of data from Meta Ads and similar platforms

Help create datasets for

oCampaign performance reporting

oLead funnel tracking

Develop familiarity with

oCampaign structure (campaign/ad set/ad level)

oBasic performance metrics (CTR, CPC, CPA)

oConversion tracking concepts

Business Collaboration

Work with marketing and analytics teams to understand data requirements

Support analysis related to lead quality and campaign performance

Help translate business needs into data queries and datasets

Data Quality & Maintenance

• Implement basic data validation checks

Monitor pipelines and resolve data issues

Maintain documentation for pipelines and datasets

• Required Skills & Qualifications
• Core Technical Skills

Proficiency in Python (data processing, API handling)

• Strong SQL skills

Experience with data ingestion from APIs (basic handling of pagination, retries)

Familiarity with workflow orchestration tools (e.g., Airflow or similar)

Exposure to cloud data warehouses (BigQuery, etc.)

Ad Platform Exposure

Basic understanding of Meta Ads platform concepts

• Familiarity with

Marketing metrics (CTR, CPC, conversions)

• Lead generation and funnel basics

Willingness to learn deeper AdTech concepts

Soft Skills

Good problem-solving and debugging skills

Ability to work in a collaborative, cross-functional environment

Clear communication of technical work and issues

Good to Have

Exposure to other marketing platforms (Google Ads, etc.)

Experience with tools like dbt or similar transformation frameworks

Understanding of event tracking (GA4, etc.)

What Success Looks Like

Reliable execution of data pipelines with minimal supervision

Accurate and timely delivery of marketing datasets

Growing understanding of marketing data and business use cases

Effective collaboration with senior engineers and stakeholders

Perks

Day off on the 3rd Friday of every month (one long weekend each month)

Monthly Wellness Reimbursement Program to promote health well-being

Monthly Office Commutation Reimbursement Program

• Paid paternity and maternity leaves

Originally posted on Himalayas