Junior Data Engineer
August 22
🔄 Hybrid – Manhattan
Description
• Playing a pivotal role in optimizing data processing systems and emphasizing design, you’ll be responsible for architecting, developing, and improving our automated data pipelines • You understand the intricacies of data quality and have a keen eye for catching and rectifying quality issues in the underlying data • This position involves utilizing a robust background in data engineering, a solid grasp of data processing technologies like Spark and PySpark
Requirements
• 1 - 3+ years in Data Engineering or a similar role, with experience building data pipelines from the ground-up • Bachelor's degree in computer science, software engineering, or a related field • Strong working knowledge of Spark, PySpark, or other data processing frameworks • Experience with SQL and NoSQL database technologies • 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
Benefits
• 100% health insurance coverage, with ability to join group dental and vision for a nominal fee • Potential equity package • 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 that's 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
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