Data Engineer -- NYC Based
Data Engineer -- NYC Based
Posted on :
11-07-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
11-07-2025
Job Description
The Company Youll Join
At Qloo our cutting-edge Taste AI technology leverages extraordinary amounts of dataover half a billion records of public figures places and things plus a globe-spanning consumer behavior and sentiment databaseto unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes our Taste AI engine sifts through the noise to find the signals that matter.
without relying on personally identifiable information. Read more about our recent Series C funding here.
The Team Youll Work With
Reporting to the Director of Data Engineering youll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance efficiency and accuracy. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are a growing team dedicated to advancing Taste AI.
Hear what the team has to say The team culture at Qloo is highly collaborative and supportive with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand creating an environment where everyone feels supported and valued... - Sreekant VP of API Engineering.
The Impact Youll Have
Youll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API. You will be responsible for understanding the intricacies of the data sources to architect develop and improve our automated data pipelines.
Our ideal candidate will immediately provide value by:
Designing developing and maintaining automated data pipelines on Airflow using Python PySpark and SQL (Presto/Trino)
Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data
Collaborating with data scientists and other engineers to define data requirements and structures
Writing unit tests and conducting system testing to ensure the reliability and integrity of data
Optimizing data pipelines for maximum speed scalability and accuracy
Staying up to date with emerging trends and technologies in data engineering data processing distributed computing and data quality assurance
To be a successful match you must have:
* 2 - 5 years of experience in data engineering
* Bachelors degree in computer science software engineering or a related field
* Experience with SQL. Experience with Spark would be preferredbut not a requirement
* Experience with automating data processing through Python libraries like Airflow
* Strong problem-solving and analytical skills with keen attention to detail
* Experience with AWS or other cloud platforms
* Ability to manage multiple projects simultaneously and meet tight deadlines
What We Offer
* Competitive salary and equity package and holistic perks and benefits including:
- 100% health insurance coverage with ability to join group dental and vision for a nominal fee
- Team lunches every Thursday in NYC office
- 4% 401K matching
- 20 paid time off days
- 5 paid sick days
- 12 weeks of paid parental leave
- 10 annual company holidays
* Opportunities for professional development and growth within a dynamic environment
* A supportive and inclusive company ethos where your ideas are valued your contributions are recognized and your impact is tangible
* The chance to be part of a small but mighty team thats making waves in the industry and shaping the future of technology
* Beautiful HQ in Soho NYC with the opportunity to work in-office if desired
We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may also be included in our total package depending on role and level.
$120000 - $150000 a year
We are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience and equity may be included in the total package depending on role and level.
Employment Type
Full Time
Department / Functional Area
Key Skills
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