Data Engineer
This role's heartbeat lies in ensuring the smooth flow of data – from acquisition and ingestion to cleaning, preprocessing, and organizing data in structured and accessible forms.
Apply for this positionAbout Daash Intelligence:
Daash Intelligence is a well-funded technology start-up pioneering the next-generation of predictive commerce intelligence. Our mission is to bring transparency to retail markets, enabling our customers to track and anticipate market trends more easily, more comprehensively, and more affordably, than ever before. Why does this matter? Because there are tens of thousands of small and medium-sized consumer product brands struggling to compete with the bigger, old school companies who can afford to spend millions of dollars per year on market research. Daash solves this problem by democratizing access to the actionable intelligence they need to succeed.
Although we’re still in stealth mode, Daash has been getting great traction, with over 25 high profile clients already licensing the platform. But there’s a lot more work to do and we need your help! The problems we’re working on are challenging, but fun and incredibly rewarding to solve. The Daash team is getting it done – we’re super scrappy, highly motivated and fully funded. Join us!
Position Overview:
We are seeking a dedicated and passionate data engineer to join our team. The role's heartbeat lies in ensuring the smooth flow of data – from acquisition and ingestion to cleaning, preprocessing, and organizing data in structured and accessible forms. The ideal candidate will be experienced in designing and maintaining efficient and reliable data pipelines, enabling our data science team to work their magic and minimize data integrity issues that flow through to our end-user.
Responsibilities:
As a member of the Data Pipeline’s Team, your responsibilities will include:
- Drive engineering efforts to build large-scale cloud-based data processing and ETL pipelines
- Architect data cleaning frameworks to ensure data quality and integrity across the platform
- Build optimized cloud-based data storage structures, ensuring efficient retrieval and analytics capabilities
- Design and execute efficient data queries to support insights across Daash team
- Support and collaborate with data science team on large scale and complex modeling initiatives
Qualifications:
- Highly experienced in Python and SQL
- Experience with distributed data technologies, preferably PySpark
- Experience with AWS cloud-native data processing infrastructure (S3, Glue, Athena, Lambda, ECS)
- Experience with source-control and CI/CD tools, i.e. Github
- Strong problem-solving skills, analytical mindset, and attention to detail
- Bonus if any experience with Terraform or AWS Cloud Formation
- Bonus if any experience with web scraping tools and techniques (Scrapy, Requests)
- Bonus if any specific background in retail or DTC is a plus but not a requirement
Benefits:
- Comprehensive Health (PPO), Dental, and Vision Insurance Plan Coverage
- Unlimited PTO Policy
- Remote and flexible location options (though company operates on Eastern Standard Time)
- Salary $100k - $140k, plus annual bonus and equity participation based on qualifications
Candidates passionate about sculpting the future of retail analytics are invited to submit their resume to hiring@daash.co.
Daash Intelligence takes pride in being an equal opportunity employer, fostering an ecosystem of diversity and inclusion.