Lead Editor, Automation & Data Engineering (Remote)

AI overview

Lead the automation and data engineering efforts to ensure Forbes Advisor publishes accurate, reliable, and scale-driven data content.

Forbes Advisor is looking for a lead editor with deep data engineering and automation expertise to help power our data-driven content. This role sits at the intersection of journalism, automation and data engineering—you’ll own the backend systems that make large-scale, trustworthy content possible.

This isn’t a traditional editor role. While strong editorial judgment and a journalist’s mindset are required, the core of the role is editorial automation, with data engineering as a key skill. You will build, maintain and scale the pipelines, automations and workflows that support content such as best-ofs, product reviews and rates coverage. You’ll operate within the Editorial Automation team, working closely with the Sr. Managing Editor to build content at scale. This role owns the automation layer that enables Forbes Advisor's data-driven journalism, from
data ingestion to publishing and monitoring.

Responsibilities:

  • Own Editorial Automation Infrastructure
    • Own, build and maintain Python-based automation workflows that power daily, weekly and batch editorial content at scale.
    • Design and manage GitHub repos supporting automation.
    • Schedule and maintain GitHub Actions tied to data releases and publishing cadences (daily, weekly, monthly).
    • Ensure automation environments are production-ready, with correct credentials, dependencies and error handling.
    • Prepare clean, structured datasets for NLG platforms and data visualization tools.
    • Partner with editorial teammates to translate content needs into scalable solutions.
  • Build & Maintain Data Pipelines
    • Create and maintain BigQuery tables.
    • Pull, normalize and validate data from APIs, spreadsheets, Tableau dashboards and internal data sources.
    • Develop reusable Python packages to standardize API access, authentication and workflow logic for the broader team.
    • Debug and resolve data or pipeline failures, serving as the escalation point for complex technical issues.
  • Metrics, Reliability & Trust
    • Create workflows to log data usage, API credits, automation runs and template usage.
    • Build reporting and dashboards that monitor reliability and operational health of automation pipelines.
    • Support correction processes when vendors report errors or methodologies change.
    • Help ensure automated content meets Forbes Advisor’s standards for accuracy, transparency and editorial trust.
  • Cross‑Functional Collaboration
    • Work closely with Editorial, SEO, data research and engineering teams to identify and implement automation opportunities.
    • Help define best practices and standards for data journalism and content automation across teams.
    • Provide technical guidance and mentorship to teammates working in less technical roles.

Qualifications:
This is a senior, systems-owning role. Candidates should be comfortable operating as both an
automation lead and a technical editor.

  • 8–10+ years of experience in journalism, data journalism, data engineering or a closely related field.
  • Advanced proficiency in Python and SQL, with experience building production-grade data pipelines.
  • Strong experience with cloud data warehouses (BigQuery preferred).
  • Hands-on experience with GitHub, version control and CI/CD-style workflows (including GitHub Actions).
  • Experience working with APIs, authentication systems and third-party data providers.
  • Strong understanding of data integrity, transparency and ethical considerations in journalism.
  • Proven ability to operate independently, prioritize work and manage complex systems in a fast-moving environment.

Nice To Haves:

  • Background in data journalism or newsroom environments.
  • Experience with NLG platforms and large-scale content automation.
  • Familiarity with data visualization tools and charting libraries.
  • Experience designing analytics or monitoring systems for pipelines and automations.
  • Comfort working in ambiguous, startup-like conditions within a larger organization.

Vision & Impact:
Automation is a critical editorial infrastructure. This role ensures Forbes Advisor can publish
fast, accurate and transparent data-driven content—reliably, repeatedly and at scale.
The systems you build and maintain directly affect content accuracy, speed, scale and reader
trust. You’ll help ensure that data-driven journalism at scale is not just possible, but reliable,
transparent and sustainable.

Benefits:

  • Competitive compensation package
  • Ability to work remotely
  • Unlimited PTO
  • Every third Friday of the month off
  • Winter break closure; the week between Christmas and New Years
  • Home office setup
  • Wellness reimbursement 

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-REMOTE #LI-NM1

Perks & Benefits Extracted with AI

  • Home Office Stipend: Home office setup
  • Winter break closure: Winter break closure; the week between Christmas and New Years
  • Paid Time Off: Unlimited PTO
  • Wellness Stipend: Wellness reimbursement

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

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