Full Stack Engineer, Data Products
Apply NowCompany: Intelliswift
Location: Ridgefield Park, NJ 07660
Description:
Job ID: 25-08198 Pay rate range - $70/hr. to $72/hr. on W2
Hybrid (4 days office, 1 day home)
Top Skills:
Technical: Reach, Node, Postgres, Bitmap
Position Summary
The Bigdata team is looking to hire a Full Stack Engineer who will lead the engineering roadmap of their cutting-edge in-house marketing SaaS solution. This solution harnesses the power of big data to empower all marketing teams to reach their customers throughout the country.
At this stage, this role is pivotal as we are taking this solution to the next level and positioning it as the core product for everything marketing audience segmentation, statistical testing, data governance, data distribution, revenue optimization, and much more.
If you are an Engineer with an entrepreneurial mindset who is comfortable working in an ambiguous environment and takes ownership and pride in building kickass data products, come work with us.
Job Responsibilities
Design, develop, test, deploy, maintain, and enhance our desktop-based data web applications from front-end to back-end.
Triage product and system issues and debug/resolve by analyzing the source of issues and impact on service operations and quality
Collaborate with product managers, data engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverables
Work with data engineers and data scientists to design and deploy complex data models, fueling the application
Deploy applications on cloud infrastructure, ensuring scalability, performance, and security
Integrate applications with in-house big data systems and third-party marketing systems using APIs and other solutions
Write clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedback
Stay updated on emerging web application and data modeling technologies and integrate with the product where applicable
Work with product managers, data scientists, and engineers to understand business goals and data science and marketing tech stack of the company
Core Qualifications:
Curious, ownership, and outcome mindset with the ability to pivot as per business requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
3-5 years of experience in engineering both client and server software
Experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets before
You have an interest in growing your knowledge in the area of Data Science and are willing to lend a hand in "Machine Learning" application development when required.
Comfortable with Agile Principles/Scrum/Kanban
Experience developing products for marketing and sales teams in omnichannel organizations, small or large.
Technical skill requirements:
Browser programming using JavaScript, jQuery, ReactJS, Angular or Vue. ReactJS preferred.
Server programming using NodeJS, Python, PHP, ASP. NodeJS Preferred.
Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
Proficient in a Linux scripting or scripting language
Experienced in APIs and Micro services development and management
Proficient in object-oriented language Python/Scala preferred
Expert in one of the following stacks and comfortable exploring others
o MERN stack: JavaScript MongoDB - Express - ReactJS - Node.js (Preferred)
o MEAN stack: JavaScript MongoDB - Express - AngularJS - Node.js
o Django stack: JavaScript Python - Django MySQL
o Ruby on Rails: JavaScript Ruby - SQLite Rails
Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.)
Expert in networking concepts and security protocols
Solid understanding of containerized platforms (Docker, Kubernetes)
Experience doing software development in cloud services, such as GCP, AWS, Azure ecosystem
Experience using GIT, JIRA, and Confluence tools
Hybrid (4 days office, 1 day home)
Top Skills:
Technical: Reach, Node, Postgres, Bitmap
Position Summary
The Bigdata team is looking to hire a Full Stack Engineer who will lead the engineering roadmap of their cutting-edge in-house marketing SaaS solution. This solution harnesses the power of big data to empower all marketing teams to reach their customers throughout the country.
At this stage, this role is pivotal as we are taking this solution to the next level and positioning it as the core product for everything marketing audience segmentation, statistical testing, data governance, data distribution, revenue optimization, and much more.
If you are an Engineer with an entrepreneurial mindset who is comfortable working in an ambiguous environment and takes ownership and pride in building kickass data products, come work with us.
Job Responsibilities
Design, develop, test, deploy, maintain, and enhance our desktop-based data web applications from front-end to back-end.
Triage product and system issues and debug/resolve by analyzing the source of issues and impact on service operations and quality
Collaborate with product managers, data engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverables
Work with data engineers and data scientists to design and deploy complex data models, fueling the application
Deploy applications on cloud infrastructure, ensuring scalability, performance, and security
Integrate applications with in-house big data systems and third-party marketing systems using APIs and other solutions
Write clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedback
Stay updated on emerging web application and data modeling technologies and integrate with the product where applicable
Work with product managers, data scientists, and engineers to understand business goals and data science and marketing tech stack of the company
Core Qualifications:
Curious, ownership, and outcome mindset with the ability to pivot as per business requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
3-5 years of experience in engineering both client and server software
Experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets before
You have an interest in growing your knowledge in the area of Data Science and are willing to lend a hand in "Machine Learning" application development when required.
Comfortable with Agile Principles/Scrum/Kanban
Experience developing products for marketing and sales teams in omnichannel organizations, small or large.
Technical skill requirements:
Browser programming using JavaScript, jQuery, ReactJS, Angular or Vue. ReactJS preferred.
Server programming using NodeJS, Python, PHP, ASP. NodeJS Preferred.
Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
Proficient in a Linux scripting or scripting language
Experienced in APIs and Micro services development and management
Proficient in object-oriented language Python/Scala preferred
Expert in one of the following stacks and comfortable exploring others
o MERN stack: JavaScript MongoDB - Express - ReactJS - Node.js (Preferred)
o MEAN stack: JavaScript MongoDB - Express - AngularJS - Node.js
o Django stack: JavaScript Python - Django MySQL
o Ruby on Rails: JavaScript Ruby - SQLite Rails
Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.)
Expert in networking concepts and security protocols
Solid understanding of containerized platforms (Docker, Kubernetes)
Experience doing software development in cloud services, such as GCP, AWS, Azure ecosystem
Experience using GIT, JIRA, and Confluence tools