2 open positions available
Build and maintain automation workflows and data pipelines to support large-scale, data-driven content at Forbes Advisor. | Extensive experience in data engineering, automation, Python, SQL, cloud data warehouses, and API integrations, with a senior or lead level of expertise. | 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. At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor 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 Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Review and organize research files and databases for clarity and consistency, assist senior editors with digitizing historical lists, and collaborate with technology teams to format data. | Extraordinary attention to detail, phenomenal organization skills, prior experience in data entry or archival work, and comfort with financial figures and AI tools as a plus. | Forbes is an iconic global media brand that has symbolized success for over a century. Fueled by journalism that informs and inspires, Forbes spotlights the doers and doings shaping industries, achieving success and making an impact on the world. Forbes connects and convenes the most influential communities ranging from billionaires, business leaders and rising entrepreneurs to creators and innovators. The Forbes brand reaches more than 140 million people monthly worldwide through its trusted journalism, signature ForbesLive events and 49 licensed local editions in 81 countries. Forbes is looking to hire a highly organized and exceptionally thorough researcher to assist the editors of our marquee Forbes 400 and World's Billionaires lists. That person will review and organize the years of research our reporters have compiled on hundreds of billionaires, ensuring our research files are orderly and consistent across the board, with the goal of being able to better mine our database for current and historical trends. He or she will play a key role in helping the Forbes Wealth team overhaul several of the key internal databases behind its rankings. Responsibilities • Reviewing and organizing our research files and in-house database for clarity and consistency. • Assisting senior editors on the team in reviewing and digitizing several decades of Forbes' historical lists. • Working with members of the technology team to ensure that data is formatted in a way that supports Forbes' internal processes. The ideal candidate • Extraordinary attention to detail. • Phenomenal organization skills. • Prior experience in data entry, data cleaning and/or archival work. • Comfort with financial figures and terms is a plus, as is knowledge and experience with AI tools. Please include a cover letter describing yourself, why you're interested in this position and what you can bring to the Forbes newsroom. The hourly rate for this role is $24.00 - $24.00 Forbes has estimated the compensation range set forth above in good faith. The compensation range is what we believe we will offer, and ultimately pay, a successful candidate. In determining this range, we consider the experience, level of education (if applicable to the role), knowledge, skills, and abilities required to be had by a successful candidate as well as the budget and the company's pay rates, generally. This said, we may have to make changes to our compensation estimates and job descriptions from time to time and we expressly reserve the right to do so. Should we make any such changes, this advertisement will be revised to reflect such revisions. We encourage you to occasionally re-visit this advertisement to ensure that you are abreast of any changes. Thank you for your interest in joining Forbes! #LI-PM1 #LI-Remote Forbes aims to offer employees the flexibility they need in order to be successful. Some positions may require candidates to be based in a specific location for consideration while some roles may be fully remote (within the U.S.) if it aligns with the needs of the position. This position is only open to candidates residing in California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Maine, Maryland, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, & Washington. Due to business operations and compliance requirements, we are unable to consider applicants based outside these states at this time. Forbes is an equal opportunity employer. Staff and Applicant Privacy Notice Notice of E-Verify Participation
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