Data Engineer

Location:

US Remote

Description:

About Knotch

As the global leader in Content Intelligence, Knotch’s mission is to empower brands to unlock the true value of their content by using data-driven strategies. With the Knotch Content Intelligence Platform, companies conduct competitive research and measure the performance of their content in real-time. Through our unique ability to provide a 360-degree view of all your content, including paid and owned, Knotch allows companies to connect content to business outcomes to enhance brand, increase ROI and build audiences.

Data Engineer – Full-Time Permanent Employee – 100% Remote – United StatesOur Data Engineering team is focused on large-scale data projects, integrating numerous sources with our real-time streaming analytics platform. Knotch’s product integrates data from various sources around the internet. To take our data practices to the next level, we’re looking for a Data Engineer to come on board and work as an Individual Contributor as part of our Data Engineering department! 

Responsibilities:

The Data Engineer Role

As Knotch’s Data Engineer, you will be responsible for solving a variety of challenges with data including: orchestrating the integration of data from internal and third-party sources and proactively solving architecture and programming challenges that are required to support the growth of our fast-growing data needs. You will work closely with and report directly to our Principal Data Engineer, Shane Jiang.

• Collaborate with team members to collect product requirements, define successful analytics outcomes, and design data models
• Design, build and launch new ETL/ELT processes in production.
• Support existing processes running in production.
• Build and maintain multi-functional relationships with various teams across the business
• Build data expertise and own data quality for allocated areas of ownership.

Qualifications:

• 2+ years in the Data space as an engineer, analyst or equivalent
• Knowledge in SQL and data modeling
• Experience working with a large-scale Data Warehouse, preferable in a cloud environment
• Experience in Python, Airflow and/or DBT
• Experience in custom ETL design, implementation and maintenance. 
• Ability to analyze data to identify deliverables, gaps and inconsistencies. 
• Demonstrated capacity to clearly and concisely communicate amongst technical and business teams
• Familiarity with AWS cloud services, including S3, Redshift, RDS, EMR, etc

Salary Range: $90,000 – $150,000