Forbes is hiring a Senior Data Engineer within our Data Engineering team. At Forbes, data is at the heart of all of our business decisions. The ideal candidate will join a growing team whose charge is to ensure timely, accurate, and exhaustive data stewardship that empowers our entire organization. The ideal candidate is proactive, thorough, curious, and works to continuously evolve our class-leading platform.

Our team is looking for an engineer to help support the data science team in productionalizing machine learning models. Models in production or late stage development include user lookalike modeling, article NLP, forecasting and are used widely throughout the business to drive revenue especially within our first party data platform, ForbesOne, and provide KPIs across the business. This position is fully remote. 

What You'll Do:

• Assist in deploying machine learning models to production environments including DevOps, performing QA & writing release notes
• Build new data pipelines for ML models and create robust documentation around new and existing pipelines
• Implement data monitoring using SQL and other tools to prevent model & data drift
• Optimize existing pipelines so they are running as efficiently as possible
• Communicate with data scientists and business stakeholders to gather requirements and plan realistic timelines

What You'll Bring:

• Two or more years of professional experience as a Data Engineer building data pipelines
• Hands on coding experience with Python building data pipelines and end to end systems
• Extensive SQL experience
• Experience with machine learning operations including orchestration, deployment and monitoring a huge plus
• Experience with Google Cloud Platform including Vertex AI, Compute Engine, Cloud Functions, BigQuery & Cloud Storage
• Experience with containerization methodologies like Docker
• Experience with workflow orchestration technologies like Airflow
• Experience with ML frameworks including SK Learn, Tensorflow & PyTorch

The annual base salary range for this role is $130,000 - $130,000

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-KB1

#LI-Remote