Knotch
New York, NY
51-200 employees
Transparently collect, own, measure and action the data of your digital content marketing.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
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.
We’re proud of our team
We’ve been building our products since 2013, and our team has grown in size and in spirit. We’ve been humbly recognized in the top 12% of fastest growing companies in America by Inc! Since the Covid-19 pandemic we’ve become remote-first, and we plan to stay that way. We know that a flexible environment leads to a happy team as we’ve again been named a Best Place to Work four years running by Built In NYC and a NYC company with Best Perks + Benefits in 2021! If you’d like to speak with our recruiting team about the future of Knotch, feel free to connect with us on LinkedIn and learn about us further on our careers site.
Data Engineer - Full-Time Permanent Employee - 100% Remote - United States
Our 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!
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.
Responsibilities:
- 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.
Requirements:
- 4+ years in the Data space as an engineer, analyst or equivalent
- Excellent knowledge in SQL and data modeling
- Experience working with a large-scale(1B+ Rows) Data Warehouse, preferable in a cloud environment
- Proficient 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: $145,000 - $165,000
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Knotch is an equal opportunity employer. We strive to provide equal opportunities in all of our processes, including our hiring and employee experience.
We pride ourselves on our three values: transparency, relentlessness, and inclusiveness.
We commit to daily work towards leading with empathy, reducing bias through periodic training, and engaging with and uplifting communities of marginalized groups.
We condemn all forms of racism and discrimination on the basis of race, religion, ethnicity, nationality, gender identity, sexual orientation, age, marital status, pregnancy or parenthood status, veteran status, disability status or any other identifier.
We encourage all employees, clients, investors, candidates, vendors, and friends of Knotch to deliver honest feedback directly or anonymously so that we may always seek to improve as an organization that is dedicated to diversity, equity, inclusion, and belonging.
Share your thoughts with us, and you will be heard.
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This job is no longer open