Our ideal candidate will immediately provide value by:
- Designing, developing, and maintaining automated data pipelines using Python, Spark, PySpark, and related technologies
- 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:
- 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
What we offer in addition to a competitive salary:
- 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
2 applies
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