Forbes Advisor is hiring! We are expanding our UK-based development team as we continue our journey to evolve Forbes Advisor from a leading publisher into a tech powerhouse in the US market. As a part of our Application Engineering team, you will play a key role building immersive experiences for Forbes Advisor’s customers as well as developing bespoke internal tools for use in house by the Forbes Advisor team.
Our engineering culture is flat and collaborative, where you will be empowered to help design, architect, and build solutions using the tools best suited to the job. We follow a lean product-driven approach valuing features delivered above estimates and story points.
Our tech stack currently includes: dotnet, NodeJS, Vue, AWS, Terraform, Typescript, ChatGPT, REST, GraphQL, GitHub Actions, Docker, Kubernetes, SQL, NoSQL, New Relic
Responsibilities:
Qualifications:
Role further details:
Forbes Advisor has a well-established position working across a multitude of household publisher brands in the US. The company seeks to own advanced tech to monetise journeys and support customers in making decisions on the best products and services to buy.
The role is UK based, working hand in glove with an integrated UK based senior product and development team. We believe in collaborative and empowered teams, where the sum of the group is stronger than the contribution and unique skills each team member brings. We to move quickly and deliver robust high quality code and products.
Forbes Advisor’s core engineering team is based in India, supporting the substantial publishing platform. This initiative is to build a new parallel stack of micro services to fit in across the extensive estate of advisor and marketplace propositions to monetise content.
The company has ambitions to build many journeys, addressing the architecture form the ground up in a modern serverless approach. The team would look to build a collection of services, extending and customising for brands and product areas.
We have a vision of building the ultimate comparison technology, from MVP to fully features enquiry forms, CDL, product stores and aggregator layers, referral and fulfilment mechanisms and end to end tracking. The US market is expansive, immature and malleable to technically advanced new entrants. This is a perfect time, at a perfect organisation with great brands to be able to build something truly different.
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-NM1
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.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Application Engineer Q&A's