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 engineeringyoull own the backend systems that make large-scale trustworthy content possible.
This isnt a traditional editor role. While strong editorial judgment and a journalists 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. Youll 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 Advisors 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 Advisors standards for accuracy transparency and editorial trust.
- CrossFunctional 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.
- 810 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 contentreliably repeatedly and at scale.
The systems you build and maintain directly affect content accuracy speed scale and reader
trust. Youll 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
Additional Information :
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
Remote Work :
Yes
Employment Type :
Full-time
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 engineeringyoull own the backend systems that make large-scale trustworthy content possible.This...
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 engineeringyoull own the backend systems that make large-scale trustworthy content possible.
This isnt a traditional editor role. While strong editorial judgment and a journalists 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. Youll 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 Advisors 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 Advisors standards for accuracy transparency and editorial trust.
- CrossFunctional 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.
- 810 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 contentreliably repeatedly and at scale.
The systems you build and maintain directly affect content accuracy speed scale and reader
trust. Youll 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
Additional Information :
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
Remote Work :
Yes
Employment Type :
Full-time
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